Three-Dimensional Pattern Features in Finger Tapping Test for Patients with Parkinson’s disease (English)
- New search for: Li, Junjie
- New search for: Zhu, Huaiyu
- New search for: Pan, Yun
- New search for: Wang, Haotian
- New search for: Cen, Zhidong
- New search for: Yang, Dehao
- New search for: Luo, Wei
- New search for: Li, Junjie
- New search for: Zhu, Huaiyu
- New search for: Pan, Yun
- New search for: Wang, Haotian
- New search for: Cen, Zhidong
- New search for: Yang, Dehao
- New search for: Luo, Wei
In:
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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3676-3679
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2020
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ISBN:
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ISSN:
- Conference paper / Electronic Resource
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Title:Three-Dimensional Pattern Features in Finger Tapping Test for Patients with Parkinson’s disease
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Contributors:Li, Junjie ( author ) / Zhu, Huaiyu ( author ) / Pan, Yun ( author ) / Wang, Haotian ( author ) / Cen, Zhidong ( author ) / Yang, Dehao ( author ) / Luo, Wei ( author )
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Published in:
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Publisher:
- New search for: IEEE
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Publication date:2020-07-01
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Size:319860 byte
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ISBN:
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ISSN:
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DOI:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
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Source:
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Estimating the Shape of the Fetal Pulse Curve for Transabdominal Pulse Oximetry using Synchronous Averaging*Bottrich, Marcel / Laqua, Daniel / Husar, Peter et al. | 2020
- 1
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Deep Convolutional Neural Networks for the Accurate Identification of High-Amplitude Stereotypic Epileptiform Seizures in the Post-Hypoxic-Ischemic EEG of Preterm Fetal SheepAbbasi, Hamid / Gunn, Alistair J. / Unsworth, Charles P. / Bennet, Laura et al. | 2020
- 1
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Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate ExtractionFotiadou, E. / Xu, M. / van Erp, B. / van Sloun, R. J. G. / Vullings, R. et al. | 2020
- 5
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Automating the correction of flow integration drift during whole-body plethysmographyStucky, Frederic / Cazzaniga, Giacomo / Aliverti, Andrea / Kayser, Bengt / Uva, Barbara et al. | 2020
- 9
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Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectraPatchava, Krishna Chaitanya / Benaissa, Mohammed / Ge, Shuzhi Sam et al. | 2020
- 13
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Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic Programming*Jafarpisheh, Noushin / Rosado-Mendez, Ivan M. / Hall, Timothy J. / Rivaz, Hassan et al. | 2020
- 17
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Identification of the Vibrations Corresponding with Heart Sounds using Vibrational Cardiography*D'Mello, Yannick / Skoric, James / Hakim, Siddiqui / Aboulezz, Ezz / Clairmonte, Nathan / Lortie, Michel / Plant, David V. et al. | 2020
- 21
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Analysis of Electrohysterographic Signal Propagation Direction during Uterine Contraction: the Application of Directed InformationXu, Yuhang / Hao, Dongmei / Zheng, Dingchang et al. | 2020
- 26
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Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*Antonacci, Yuri / Faes, Luca / Astolfi, Laura et al. | 2020
- 30
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Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer’s Disease ContinuumRuiz-Gomez, Saul J. / Gomez, Carlos / Poza, Jesus / Revilla-Vallejo, Marcos / Gutierrez-de-Pablo, Victor / Rodriguez-Gonzalez, Victor / Maturana-Candelas, Aaron / Hornero, Roberto et al. | 2020
- 34
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Emotional Networked maps from EEG signals*Gomez, Alejandro / Quintero, O. Lucia / Lopez-Celani, Natalia / Villa, Luisa F. et al. | 2020
- 38
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Decoding Pigeon Behavior Outcomes during Goal-directed Decision Task by WSR Functional Network Analysis*Cheng, Shuguan / Li, Mengmeng / Yu, Haifei / Zhao, Kun / Liu, Shuo / Wan, Hong et al. | 2020
- 42
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The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG StudyPei, Zian / Xu, Tao / Bezerianos, Anastasios / Li, Junhua / Sun, Yu / Wang, Hongtao et al. | 2020
- 46
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Response to Vagal Stimulation by Heart-rate Features in Drug-resistant Epileptic Patients*Plesinger, F. / Halamek, J. / Chladek, J. / Jurak, P. / Dolezalova, I. / Chrastina, J. / Brazdil, M. et al. | 2020
- 50
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A Spectral Clustering Approach for the Classification of Waveform Anomalies in High-Dimensional Brain SignalsStamoulis, Catherine et al. | 2020
- 54
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Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal RecognitionGhiasi, S / Patane, A / Greco, A / Laurenti, L / Scilingo, EP / Kwiatkowska, M et al. | 2020
- 58
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Random Forest-based Algorithm for Sleep Spindle Detection in Infant EEGWei, Lan / Ventura, Soraia / Lowery, Madeleine / Ryan, Mary Anne / Mathieson, Sean / Boylan, Geraldine B. / Mooney, Catherine et al. | 2020
- 62
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Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the BrainwavesSharan, Roneel V. / Berkovsky, Shlomo / Taib, Ronnie / Koprinska, Irena / Li, Jingjie et al. | 2020
- 66
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Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronizationYagura, Haruko / Tanaka, Hiroki / Kinoshita, Taiki / Watanabe, Hiroki / Motomura, Shunnosuke / Sudoh, Katsuhito / Nakamura, Satoshi et al. | 2020
- 70
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Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of SepsisWickramaratne, Sajila D. / Shaad Mahmud, MD et al. | 2020
- 74
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Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound ClassificationKoike, Tomoya / Qian, Kun / Kong, Qiuqiang / Plumbley, Mark D. / Schuller, Bjorn W. / Yamamoto, Yoshiharu et al. | 2020
- 78
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Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility StudyGerolami, J. / Jamzad, A. / Li, S. J. / Bayat, S. / Abolmaesumi, P. / Mousavi, P. et al. | 2020
- 82
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Locating patterns in Nanopore currents using time-warped signal representation of consensus nucleotides for demultiplexing and motif detectionKang, Albert S.W. / Enright, Anton J. et al. | 2020
- 87
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Enabling context aware data analysis for long-duration repetitive stooped work through human activity recognition in sheep shearingRobinson, Mark / Lu, Lei / Tan, Ying / Goonewardena, Kusal / Oetomo, Denny / Manzie, Chris et al. | 2020
- 91
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Exploration of the physiological response to an online gambling task by frequency domain analysis of the electrodermal activity*Rocco, Giulia / Reali, Pierluigi / Lolatto, Riccardo / Tacchino, Giulia / Mandolfo, Marco / Mazzola, Alessandra / Bianchi, Anna M. et al. | 2020
- 95
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Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based ApproachKaur, Rachneet / Korolkov, Maxim / Hernandez, Manuel E. / Sowers, Richard et al. | 2020
- 99
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Deep transfer learning for improving single-EEG arousal detectionOlesen, Alexander Neergaard / Jennum, Poul / Mignot, Emmanuel / Sorensen, Helge B. D. et al. | 2020
- 104
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Deep learning for estimation of functional brain maturation from EEG of premature neonatesGschwandtner, Laura / Hartmann, Manfred / Oberdorfer, Lisa / Furbass, Franz / Klebermas-Schrehof, Katrin / Werther, Tobias / Stevenson, Nathan / Gritsch, Gerhard / Perko, Hannes / Berger, Angelika et al. | 2020
- 108
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Emotion Recognition with Refined Labels for Deep LearningZhang, Su / Guan, Cuntai et al. | 2020
- 112
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Machine Learning with Imbalanced EEG Datasets using Outlier-based SamplingIslah, Nizar / Koerner, Jamie / Genov, Roman / Valiante, Taufik A. / O'Leary, Gerard et al. | 2020
- 116
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EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRULew, Wai-Cheong Lincoln / Wang, Di / Shylouskaya, Katsiaryna / Zhang, Zhuo / Lim, Joo-Hwee / Ang, Kai Keng / Tan, Ah-Hwee et al. | 2020
- 120
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Depression Scale Prediction with Cross-Sample Entropy and Deep LearningChen, Guan-Yen / Huang, Chih-Mao / Liu, Ho-Ling / Lee, Shwu-Hua / Lee, Tatia Mei-Chun / Lin, Chemin / Wu, Shun-Chi et al. | 2020
- 124
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Spatio-temporal deep learning for EEG-fNIRS brain computer interfaceGhonchi, Hamidreza / Fateh, Mansoor / Abolghasemi, Vahid / Ferdowsi, Saideh / Rezvani, Mohsen et al. | 2020
- 128
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EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention MechanismZhang, Xiaowei / Li, Junlei / Hou, Kechen / Hu, Bin / Shen, Jian / Pan, Jing et al. | 2020
- 134
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Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural NetworksPatlatzoglou, Konstantinos / Chennu, Srivas / Gosseries, Olivia / Bonhomme, Vincent / Wolff, Audrey / Laureys, Steven et al. | 2020
- 138
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Automatic detection of artifacts in EEG by combining deep learning and histogram contour processingBahador, Nooshin / Erikson, Kristo / Laurila, Jouko / Koskenkari, Juha / Ala-Kokko, Tero / Kortelainen, Jukka et al. | 2020
- 142
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Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic SignalsAvilov, Oleksii / Rimbert, Sebastien / Popov, Anton / Bougrain, Laurent et al. | 2020
- 146
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Predicting Age with Deep Neural Networks from PolysomnogramsBrink-Kjaer, Andreas / Mignot, Emmanuel / Sorensen, Helge B.D. / Jennum, Poul et al. | 2020
- 150
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A machine learning method for automatic detection and classification of patient-ventilator asynchronyBakkes, T.H.G.F / Montree, R.J.H. / Mischi, M. / Mojoli, F. / Turco, S. et al. | 2020
- 154
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Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic RecordingsWickramaratne, Sajila D. / Mahmud, MD Shaad et al. | 2020
- 158
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Emergency Clinical Procedure Detection With Deep LearningLi, Lingfeng / Paris, Richard A. / Pinson, Conner / Wang, Yan / Coco, Joseph / Heard, Jamison / Adams, Julie A. / Fabbri, Daniel V. / Bodenheimer, Bobby et al. | 2020
- 164
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Robust Deep Learning Framework For Predicting Respiratory Anomalies and DiseasesPham, Lam / McLoughlin, Ian / Phan, Huy / Tran, Minh / Nguyen, Truc / Palaniappan, Ramaswamy et al. | 2020
- 168
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Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Un-segmented Heart SoundsAsmare, Melkamu Hunegnaw / Woldehanna, Frehiwot / Janssens, Luc / Vanrumste, Bart et al. | 2020
- 172
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An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation Data*Zhang, Minmin / Pan, Changchun / Liu, Haichun / Zhang, Qinting / Li, Haozhe et al. | 2020
- 176
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Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force Estimation*Tang, Xiao / Chen, Maoqi / Chen, Xun / Chen, Xiang / Zhang, Xu et al. | 2020
- 180
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Optimal Scree-CNN for Detecting NS1 Molecular Fingerprint from Salivary SERS SpectraSaifuzzaman, T. A. / Lee, Khuan. Y. / Radzol, A. R. M. / Wong, P.S. / Looi, I. et al. | 2020
- 184
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Attention Networks for Multi-Task Signal AnalysisAhmedt-Aristizabal, David / Armin, Mohammad Ali / Denman, Simon / Fookes, Clinton / Petersson, Lars et al. | 2020
- 188
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Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional NetworksBaek, Sanghyun / Jang, Jiyong / Cho, Sung-Hwan / Choi, Jong Min / Yoon, Sungroh et al. | 2020
- 192
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Classify Motor Imagery by a Novel CNN with Data Augmentation*Huang, Weijian / Wang, Li / Yan, Zhenxiong / Liu, Yanjun et al. | 2020
- 196
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Potential pitfalls of widely used implementations of common spatial patternsRybar, Milan / Daly, Ian / Poli, Riccardo et al. | 2020
- 200
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Inter-subject correlations during natural viewing: A filter-bank approach*Gait, Arslan / Duisenbinov, Vladimir / Lee, Min-Ho / Biesmann, Felix / Fazli, Siamac et al. | 2020
- 204
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Stereo-electroencephalography (SEEG) reference based on low-variance signalsUher, Daniel / Klimes, Petr / Cimbalnik, Jan / Roman, Robert / Pail, Martin / Brazdil, Milan / Jurak, Pavel et al. | 2020
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A Comprehensive Approach for Classification of the Cough Type*Nemati, Ebrahim / Rahman, Md Mahbubur / Nathan, Viswam / Vatanparvar, Korosh / Kuang, Jilong et al. | 2020
- 213
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Introducing a Deflationary Approach to Space-Time ICA that uses temporal methods in Brain Signals ProcessingChiu, Hok Y.S. / James, Christopher J. et al. | 2020
- 217
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Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recordingHuang, Gan / Hu, Zhenxing / Zhang, Li / Li, Linling / Liang, Zhen / Zhang, Zhiguo et al. | 2020
- 221
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Neural Network-based Classification of Static Lung Volume States using Vibrational Cardiography*Clairmonte, Nathan / Skoric, James / D'Mello, Yannick / Hakim, Siddiqui / Aboulezz, Ezz / Lortie, Michel / Plant, David et al. | 2020
- 225
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Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous RecordingsAgrusa, Anjulie S. / Allegra, Alexis B. / Kunkel, David C. / Coleman, Todd P. et al. | 2020
- 232
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High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network RegressionTsai, Yu-Chiao / Lai, Shih-Hsuan / Ho, Ching-Ju / Wu, Fang-Ming / Henrickson, Lindor / Wei, Chia-Chien / Chen, Irwin / Wu, Vincent / Chen, Jyehong et al. | 2020
- 236
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Parkinson’s Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVMAppakaya, Sai Bharadwaj / Sankar, Ravi et al. | 2020
- 240
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Impulse Classification Network for Video Head Impulse Test*Baydadaev, Shokhrukh / Usmankhujaev, Saidrasul / Kwon, Jangwoo / Kim, Kyu-Sung et al. | 2020
- 244
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Prediction of Freezing of Gait in Parkinson’s Disease from Foot Plantar-Pressure Arrays using a Convolutional Neural NetworkShalin, Gaurav / Pardoel, Scott / Nantel, Julie / Lemaire, Edward D. / Kofman, Jonathan et al. | 2020
- 248
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EEG-based Driving Fatigue Detection during Operating the Steering Wheel Data Section*Zou, Bing / Shen, Mu / Li, Xinhang / Zheng, Yubo / Zhang, Lin et al. | 2020
- 252
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Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness Detection*Shen, Mu / Zou, Bing / Li, Xinhang / Zheng, Yubo / Zhang, Lin et al. | 2020
- 256
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Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEGLi, Yuling / Xiao, Shasha / Li, Yingjie / Li, Yunxia / Yang, Banghua et al. | 2020
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- 264
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EEG-based Neglect Detection for Stroke PatientsKocanaogullari, Deniz / Mak, Jennifer / Kersey, Jessica / Khalaf, Aya / Ostadabbas, Sarah / Wittenberg, George / Skidmore, Elizabeth / Akcakaya, Murat et al. | 2020
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Sequential Attention-based Detection of Semantic Incongruities from EEG While Listening to SpeechMotomura, Shunnosuke / Tanaka, Hiroki / Nakamura, Satoshi et al. | 2020
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Improving EEG-based error detection using relative peak featuresAshley, Adrian L. / Arvaneh, Mahnaz et al. | 2020
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Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometryBhowmik, Susmit / Motin, Mohammod Abdul / Sarossy, Marc / Radcliffe, PeterJohn / Kumar, Dinesh et al. | 2020
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Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia ClassificationVijayarangan, Sricharan / Murugesan, Balamurali / Vignesh, R / Preejith, SP / Joseph, Jayaraj / Sivaprakasam, Mohansankar et al. | 2020
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- 316
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A Novel Approach for Atrial Fibrillation Signal Identification Based on Temporal Attention MechanismGao, Yibo / Wang, Huan / Liu, Zuhao et al. | 2020
- 320
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Estimation of Heart Rate Directly from ECG Spectrogram in Neonate Intensive Care UnitsCabrera-Quiros, Laura / Varisco, Gabriele / Zhan, Zhuozhao / Long, Xi / Andriessen, Peter / Cottaar, Eduardus J.E. / van Pul, Carola et al. | 2020
- 324
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A New Spectrum Driven Index for the Assessment of ECG Signal QualityJarchi, Delaram / Prochazka, Ales / Sanei, Saeid et al. | 2020
- 328
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MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG CompressionShamsi, Mahdi / Rezaii, Tohid Yousefi / Beheshti, Soosan et al. | 2020
- 332
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A Graph-constrained Changepoint Detection Approach for ECG SegmentationFotoohinasab, Atiyeh / Hocking, Toby / Afghah, Fatemeh et al. | 2020
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- 341
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- 357
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- 361
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- 374
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Pole-Zero REM Modeling with Application in EEG Artifact RemovalNassif, Farah / Rezaii, Tohid Yousefi / Beheshti, Soosan et al. | 2020
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Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other LocationsLuongo, G. / Azzolin, L. / Rivolta, M. W. / Sassi, R. / Martinez, J. P. / Laguna, P. / Dossel, O. / Loewe, A. et al. | 2020
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Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac ElectrogramsRavikumar, Vasanth / Tolkacheva, Elena G. et al. | 2020
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Disentangled Adversarial Transfer Learning for Physiological BiosignalsHan, Mo / Ozdenizci, Ozan / Wang, Ye / Koike-Akino, Toshiaki / Erdogmus, Deniz et al. | 2020
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Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor DataSaiz-Vivo, Javier / DA Corino, Valentina / de Melis, Mirko / Mainardi, Luca T et al. | 2020
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The Impact of Electrode Density and Precision on Brain-Computer InterfacesAarabi, Pegah / Aarabi, Parham et al. | 2020
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EEG Signal Classification Using Convolutional Neural Networks on Combined Spatial and Temporal Dimensions for BCI SystemsAnwar, Ayman M. / Eldeib, Ayman M. et al. | 2020
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Detecting EEG outliers for BCI on the Riemannian manifold using spectral clusteringYamamoto, Maria Sayu / Sadatnejad, Khadijeh / Tanaka, Toshihisa / Islam, Rabiul / Tanaka, Yuichi / Lotte, Fabien et al. | 2020
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Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognitionAnam, Khairul / Bukhori, Saiful / Hanggara, Faruq Sandi / Pratama, Mahardhika et al. | 2020
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Unobtrusive Inter-beat Interval Estimation from Multichannel Ballistocardiogram Signal Using Kalman FilterHuang, Yongfeng / Sun, Chenxi / Jin, Tianchen / Yang, Shuchen / Zhang, Zhiming et al. | 2020
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Enhancement of Synchronization between Physiological Signals during Exercise: A Preliminary InvestigationPerry, Sean / Khovanova, Natasha / Khovanov, Igor et al. | 2020
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U-Net Neural Network for Heartbeat Detection in BallistocardiographyCathelain, Guillaume / Rivet, Bertrand / Achard, Sophie / Bergounioux, Jean / Jouen, Francois et al. | 2020
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Method for measurement of arterial compliance by fusion of oscillometry and pulse wave velocityBogatu, L. I. / Turco, S. / Mischi, M. / Woerlee, P. / Bouwman, A. / Korsten, E. / Muehlsteff, J. et al. | 2020
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Localizing Placement of Cardiomechanical Sensors during Dynamic Periods via Template MatchingZia, Jonathan / Kimball, Jacob / Inan, Omer T. et al. | 2020
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Contactless Heartbeat Detection from CW-Doppler Radar using Windowed-Singular Spectrum Analysis*IWATA, Yuki / ISHIBASHI, Koichiro / SUN, Guanghao / LUU, Manh Ha / HAN, Trong Thanh / NGUYEN, Linh Trung / DO, Trong Tuan et al. | 2020
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Detection of Respiratory Signal Based on Depth Camera Body TrackingYang, Fan / Han, Zixiong / Bolic, Miodrag et al. | 2020
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Body Orientation and Vital Sign Measurement With IR-UWB Radar NetworkYang, Xiuzhu / Yu, Yibo / Qian, Hongyu / Zhang, Xinyue / Zhang, Lin et al. | 2020
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A Joint Localization Assisted Respiratory Rate Estimation using IR-UWB RadarsHe, Shan / Mehta, Varun / Bolic, Miodrag et al. | 2020
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Using IMU Sensors to Assess Motor Degradation of PD Patients by Modeling In-meal Plate-to-Mouth Movement ElongationKyritsis, Konstantinos / Fagerberg, Petter / Ioakimidis, Ioannis / Klingelhoefer, Lisa / Reichmann, Heinz / Delopoulos, Anastasios et al. | 2020
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Neural component analysis: source localisation for motor imagery classificationDaly, Ian / Rybar, Milan et al. | 2020
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Online Recursive ICA Algorithm Used for Motor Imagery EEG SignalLin, Xueyi / Wang, Lu / Ohtsuki, Tomoaki et al. | 2020
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Random matrix theory for analysing the brain functional network in lower limb motor imageryGu, Lingyun / Yu, Zhenhua / Ma, Tian / Wang, Haixian / Li, Zhanli / Fan, Hui et al. | 2020
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MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer ParametersYang, Qihang / Zhang, Xuan / Chen, Badong et al. | 2020
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A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor ImageryZhang, Ce / Eskandarian, Azim et al. | 2020
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Bio-Inspired Algorithms for Optimal Feature Selection in Motor Imagery-Based Brain-Computer Interface*Idowu, Oluwagbenga Paul / Fang, Peng / Li, Guanglin et al. | 2020
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AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and ClassificationSong, Xiaomu / Aguilar, Luis / Yoon, Suk-chung et al. | 2020
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Unsupervised Online Learning for Long-Term High Sensitivity Seizure DetectionChua, Adelson / Jordan, Michael I. / Muller, Rikky et al. | 2020
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Automatic Absence Seizures Detection in EEG signals: An Unsupervised ModuleTsiouris, Kostas M. / Konitsiotis, Spiridon / Gatsios, Dimitrios / Koutsouris, Dimitrios D. / Fotiadis, Dimitrios I. et al. | 2020
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Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional ComputingAsgarinejad, Fatemeh / Thomas, Anthony / Rosing, Tajana et al. | 2020
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Tensor-based Uncorrelated Multilinear Discriminant Analysis for Epileptic Seizure PredictionZhang, Renjie / Jiang, Xinyu / Dai, Chenyun / Chen, Wei et al. | 2020
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Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural NetworksSharan, Roneel V. / Berkovsky, Shlomo et al. | 2020
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Influence of Individual Heart Rate on Nonlinear Brain-Heart Interactions Estimated by Convergent Cross Mapping in Schizophrenic Patients and Healthy ControlsSchiecke, Karin / Schumann, Andy / Baer, Karl J. et al. | 2020
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Methodological Considerations on EEG Electrical Reference: A Functional Brain-Heart Interplay StudyCandia-Rivera, Diego / Catrambone, Vincenzo / Valenza, Gaetano et al. | 2020
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An Inhomogeneous Point-process Model for the Assessment of the Brain-to-Heart Functional Interplay: a Pilot StudyTalebi, Alireza / Catrambone, Vincenzo / Barbieri, Riccardo / Valenza, Gaetano et al. | 2020
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Quantifying Functional Links between Brain and Heartbeat Dynamics in the Multifractal Domain: a Preliminary AnalysisCatrambone, Vincenzo / Wendt, Herwig / Barbieri, Riccardo / Abry, Patrice / Valenza, Gaetano et al. | 2020
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Closed-loop Electroencephalogram-based modulated audio to fall and deepen sleep fasterGarcia-Molina, Gary / Kalyan, Boomika / Aquino, Antonio et al. | 2020
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Neural Memory Networks for Seizure Type ClassificationAhmedt-Aristizabal, David / Fernando, Tharindu / Denman, Simon / Petersson, Lars / Aburn, Matthew J. / Fookes, Clinton et al. | 2020
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Emotion assessment using Machine Learning and low-cost wearable devicesLaureanti, R. / Bilucaglia, M. / Zito, M. / Circi, R. / Fici, A. / Rivetti, F. / Valesi, R. / Oldrini, C. / Mainardi, L. T. / Russo, V. et al. | 2020
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Multi-label Arrhythmia Classification from Fixed-length Compressed ECG Segments in Real-time Wearable ECG MonitoringCheng, Yunfei / Ye, Yalan / Hou, Mengshu / He, Wenwen / Pan, Tongjie et al. | 2020
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Assessment of Athletes’ Attitude: Physiological Evaluation via Wearable Sensors during Grappling CompetitionsBorghini, Gianluca / Arico, Pietro / Di Flumeri, Gianluca / Sciaraffa, Nicolina / Ronca, Vincenzo / Vozzi, Alessia / Babiloni, Fabio et al. | 2020
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Poincaré Descriptors for Identifying Hemiparesis in Acute Stroke using Wearable AccelerometryDatta, Shreyasi / Karmakar, handan K. / Yan, Bernard / Palaniswami, Marimuthu et al. | 2020
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Denoising Wearable Armband ECG Data Using the Variable Frequency Complex Demodulation TechniqueHossain, Md-Billal / Lazaro, Jesus / Noh, Yeonsik / Chon, Ki H. et al. | 2020
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Electrocardiogram Derived Respiration for Tracking Changes in Tidal Volume from a Wearable Armband*Lazaro, Jesus / Reljin, Natasa / Bailon, Raquel / Gil, Eduardo / Noh, Yeonsik / Laguna, Pablo / Chon, Ki H. et al. | 2020
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Automated movement detection reveals features of maturation in preterm infantsZuzarte, Ian / Gee, Alan H. / Sternad, Dagmar / Paydarfar, David et al. | 2020
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Estimating Fetal Age by Fetal Maternal Heart Rate Coupling ParametersKhandoker, Ahsan H. / Wahbah, Maisam / Al Sakaji, Raghad / Funamoto, Kiyoe / Krishnan, Anita / Kimura, Yoshitaka et al. | 2020
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A Point Process Framework for the Characterization of Fetal Sleep StatesPini, Nicolo / Lucchini, Maristella / Fifer, William P. / Barbieri, Riccardo et al. | 2020
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Joint Multiple Subspace-based BSS Method for Fetal Heart Rate Extraction from Non-invasive RecordingsWang, Lu / Ohtsuki, Tomoaki / Owada, Kazunari / Honma, Naoki / Hayashi, Hayato et al. | 2020
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Entropy Profiling for Detection of Fetal Arrhythmias in Short Length Fetal Heart Rate RecordingsKeenan, Emerson / Udhayakumar, Radhagayrathi K. / Karmakar, Chandan K. / Brownfoot, Fiona C. / Palaniswami, Marimuthu et al. | 2020
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Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural NetworkWang, Wenshuai / Liao, Pan / Sun, Yi / Su, Guiping / Ye, Shiwei / Liu, Yan et al. | 2020
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Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography RecordingsSun, Samantha / Jiang, Linxing Preston / Peterson, Steven M. / Herron, Jeffrey / Weaver, Kurt / Ko, Andrew / Ojemann, Jeffrey / Rao, Rajesh P. N. et al. | 2020
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Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural NetworksVaquerizo-Villar, Fernando / Alvarez, Daniel / Kheirandish-Gozal, Leila / Gutierrez-Tobal, Gonzalo C. / Gomez-Pilar, Javier / Crespo, Andrea / Campo, Felix del / Gozal, David / Hornero, Roberto et al. | 2020
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ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep ApneaSharan, Roneel V. / Berkovsky, Shlomo / Xiong, Hao / Coiera, Enrico et al. | 2020
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TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEGSupratak, Akara / Guo, Yike et al. | 2020
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Predicting Sleep Classification Performance without LabelsMikkelsen, Kaare B. / Tabar, Yousef R. / Kidmose, Preben et al. | 2020
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A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNetLin, Yuzhou / Palaniappan, Ramaswamy / De Wilde, Philippe / Li, Ling et al. | 2020
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Pose Estimation from Electromyographical Data using Convolutional Neural NetworksAyling, Robin / Johnson, Colin G. / Li, Ling / Palaniappan, Ramaswamy et al. | 2020
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Recurrent Fusion of Time-Domain Descriptors Improves EMG-based Hand Movement RecognitionAl Taee, Ahmed A. / Khushaba, Rami N. / Al-Timemy, Ali H. / Al-Jumaily, Adel et al. | 2020
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Classification of facial movements in chronic facial palsy based on intramuscular EMG signals recorded from the paretic sideLeistritz, Lutz / Hochreiter, Jakob / Bachl, Fabian / Volk, Gerd Fabian et al. | 2020
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Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning Machine*Tosin, Mauricio C. / Bagesteiro, Leia B. / Balbinot, Alexandre et al. | 2020
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Trapezius or facial muscles: Which one is more suitable for the measurement of stress using sEMG signals?Fatima, M. / Gulzar, K. / Khan, K. R. / Amjad, F. / Shafique, M. et al. | 2020
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Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG ClassificationHoshino, Takayuki / Kanoga, Suguru / Tsubaki, Masashi / Aoyama, Atsushi et al. | 2020
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Entropy and Clustering Information Applied to sEMG ClassificationBarbosa, Luiz J. L. / Nogueira, Otavio / Silva, Vinicius O. / Cotta, Paulo V. P. / de Souza, Fernando V. G. / de Araujo, Michael D. C. / Inazawa, Pedro H. G. / Lopez-Delis, Alberto / da Rocha, Adson F. et al. | 2020
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Hand gesture recognition using surface electromyographySharif, Hajar / Seo, Seung Byum / Kesavadas, Thenkurussi K. et al. | 2020
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On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic DeviceOleinikov, Artemiy / Abibullaev, Berdakh / Folgheraiter, Michele et al. | 2020
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A Method to Differentiate Fatiguing Conditions in Surface Electromyography Signals using Instantaneous Spectral CentroidJero, S. Edward / Bharathi, K. Divya / Ramakrishnan, S. et al. | 2020
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Neuromuscular Disease Detection Employing Deep Feature Extraction from Cross Spectrum Images of Electromyography SignalsSamanta, Kaniska / Roy, Sayanjit Singha / Modak, Sudip / Chatterjee, Soumya / Bose, Rohit et al. | 2020
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Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human EpilepsyGagliano, L. / Assi, E. Bou / Toffa, D. H. / Nguyen, D. K. / Sawan, M. et al. | 2020
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Time-Frequency Analysis of Cardiovascular Variability during an Orthostatic Stress by Complete EMDAlvarado-Alvarez, N. / Charleston-Villalobos, S. / Reulecke, S. / Dorantes-Mendez, G. / Voss, A. / Gonzalez-Camarena, R. / Aljama-Corrales, T. et al. | 2020
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A quality metric for heart rate variability from photoplethysmogram sensor dataZanon, Mattia / Kriara, Lito / Lipsmeier, Florian / Nobbs, David / Chatham, Christopher / Hipp, Joerg / Lindemann, Michael et al. | 2020
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Sex Differences in Heart Rate Nonlinearity by Multifractal Multiscale Detrended Fluctuation AnalysisCastiglioni, Paolo / Lazzeroni, Davide / Coruzzi, Paolo / Faini, Andrea et al. | 2020
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Investigating Circadian Heart Rate Variability in Coronary Artery Disease Patients with Various Degrees of Left Ventricle Ejection FractionAlkhodari, Mohanad / Jelinek, Herbert F. / Werghi, Naoufel / Hadjileontiadis, Leontios J. / Khandoker, Ahsan H. et al. | 2020
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Concurrent Model for Three Negative Emotions Using Heart Rate Variability in a Driving Simulator EnvironmentAdha, Muhammad Shaufil / Igasaki, Tomohiko et al. | 2020
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Forearm High-Density Electromyography Data Visualization and Classification with Machine Learning for Hand Prosthesis ControlTam, S. / Boukadoum, M. / Campeau-Lecours, A. / Gosselin, B. et al. | 2020
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High-Density Surface Electromyogram-based Biometrics for Personal IdentificationJiang, Xinyu / Xu, Ke / Liu, Xiangyu / Liu, Da / Dai, Chenyun / Chen, Wei et al. | 2020
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Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet TransformHari, Lakshmi M. / G, Venugopal / S, Ramakrishnan et al. | 2020
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On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG*Urh, Filip / Strnad, Damjan / Clarke, Alex / Farina, Dario / Holobar, Ales et al. | 2020
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Subject-Specific EMG Modeling with Multiple Muscles: A Preliminary StudyMa, Shihan / Chen, Chen / Han, Dong / Sheng, Xinjun / Farina, Dario / Zhu, Xiangyang et al. | 2020
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S-Convnet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG ImagesIslam, Md. Rabiul / Massicotte, Daniel / Nougarou, Francois / Massicotte, Philippe / Zhu, Wei-Ping et al. | 2020
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Temporal orders and causal vector for physiological data analysisMlynczak, Marcel et al. | 2020
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Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder ArchitectureHsiao, Chiu-Han / Lin, Ting-Wei / Lin, Chii-Wann / Hsu, Fu-Shun / Lin, Frank Yeong-Sung / Chen, Chung-Wei / Chung, Chi-Ming et al. | 2020
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Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural NetworksNguyen, Truc / Pernkopf, Franz et al. | 2020
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Removing of Snoring Segments from Tracheal Breathing Sounds using a Wavelet-based AlgorithmGhahjaverestan, Nasim Montazeri / Saha, Shumit / Gavrilovic, Bojan / Yadollahi, Azadeh et al. | 2020
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory soundsWu, Liqun / Li, Ling et al. | 2020
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An objective measure of signal quality for pediatric lung auscultationsKala, Annapurna / Husain, Amyna / McCollum, Eric D / Elhilali, Mounya et al. | 2020
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Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine LearningNair, Parvathy / Trisno, Roth / Baghini, Maryam Shojaei / Pendharkar, Gita / Chung, Hoam et al. | 2020
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Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesiaZhao, Zhibin / Fang, Hui / Williams, Stefan / Relton, Samuel D. / Alty, Jane / Casson, Alex J. / Wong, David C. et al. | 2020
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Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson’s Disease Classification of Gait PatternsSom, Anirudh / Krishnamurthi, Narayanan / Buman, Matthew / Turaga, Pavan et al. | 2020
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Automatic clinical gait test detection from inertial sensor dataFischer, Stefan / Ullrich, Martin / Kuderle, Arne / Gasner, Heiko / Klucken, Jochen / Eskofier, Bjoern M. / Kluge, Felix et al. | 2020
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Topological Descriptors for Parkinson’s Disease Classification and Regression AnalysisNawar, Afra / Rahman, Farhan / Krishnamurthi, Narayanan / Som, Anirudh / Turaga, Pavan et al. | 2020
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Automatic Gait Phases Detection in Parkinson Disease: A Comparative StudyCastano-Pino, Yor J. / Gonzalez, Maria C. / Quintana-Pena, Valentina / Valderrama, Jaime / Munoz, Beatriz / Orozco, Jorge / Navarro, Andres et al. | 2020
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Deep-learning-based human motion tracking for rehabilitation applications using 3D image featuresChen, Kai-Yu / Zheng, Wei-Zhong / Lin, Yu-Yi / Tang, Shih-Tsang / Chou, Li-Wei / Lai, Ying-Hui et al. | 2020
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Machine Learning Based Walking Aid Detection in Timed Up-and-Go Test Recordings of Elderly PatientsZiegl, Andreas / Hayn, Dieter / Kastner, Peter / Loffler, Kerstin / Weidinger, Lisa / Brix, Bianca / Goswami, Nandu / Schreier, Gunter et al. | 2020
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Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer DataHu, Yang / Bishnoi, Alka / Kaur, Rachneet / Sowers, Richard / Hernandez, Manuel E. et al. | 2020
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A Sensor-Based Comprehensive Objective Assessment of Motor Symptoms in Cerebellar AtaxiaKashyap, Bipasha / Phan, Dung / Pathirana, Pubudu N. / Horne, Malcolm / Power, Laura / Szmulewicz, David et al. | 2020
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Quantitative Assessment of Friedreich Ataxia through the self-drinking activityKrishna, Ragil / Pathirana, Pubudu N. / Corben, Louise A. / Horne, Malcolm / Delatycki, Martin B. / Szmulewicz, David J. et al. | 2020
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Detecting Loss and Regain of Consciousness during Propofol Anesthesia using Multimodal Indices of Autonomic StateSubramanian, Sandya / Barbieri, Riccardo / Purdon, Patrick L. / Brown, Emery N. et al. | 2020
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Impedance Plethysmography as an Alternative Measure of Reactive HyperemiaSamarawickrama, K. G. / Perera, N. D. / Jayasinghe, S. / De Silva, A. C. et al. | 2020
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Audio, Visual, and Electrodermal Arousal Signals as Predictors of Mental Fatigue Following Sustained Cognitive WorkWilliamson, James R. / Heaton, Kristin J. / Lammert, Adam / Finkelstein, Katherine / Sturim, Doug / Smalt, Christopher / Ciccarelli, Gregory / Quatieri, Thomas F. et al. | 2020
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Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution RecordingsHan, Henry / Cheng, Leo K. / Avci, Recep / Paskaranandavadivel, Niranchan et al. | 2020
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Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching*Shen, Xinke / Hu, Xin / Liu, Shizhao / Song, Sen / Zhang, Dan et al. | 2020
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Freezing of gait detection in Parkinson’s disease via multimodal analysis of EEG and accelerometer signalsWang, Ying / Beuving, Floris / Nonnekes, Jorik / Cohen, Mike X / Long, Xi / Aarts, Ronald M. / van Wezel, Richard et al. | 2020
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Stress Assessment by Combining Neurophysiological Signals and Radio Communications of Air Traffic ControllersBorghini, Gianluca / Bandini, Andrea / Orlandi, Silvia / Di Flumeri, Gianluca / Arico, Pietro / Sciaraffa, Nicolina / Ronca, Vincenzo / Bonelli, Stefano / Ragosta, Martina / Tomasello, Paola et al. | 2020
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Learning-Based Model for Central Blood Pressure Estimation using Feature Extracted from ECG and PPG signalsSingla, Muskan / Azeemuddin, Syed / Sistla, Prasad et al. | 2020
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Multimodal Data Acquisition for the Assessment of Cerebellar Ataxia via Ballistic TrackingTran, Ha / Nguyen, Khoa D. / Pathirana, Pubudu N. / Horne, Malcolm / Power, Laura / Szmulewicz, David J. et al. | 2020
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A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 2: Multi-input Methods*Johnson, Mizpah Selvam S. / Mikael Eklund, J. et al. | 2020
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Physiological Signal Analysis and Classification of Stress from Virtual Reality Video GameIshaque, Syem / Rueda, Alice / Nguyen, Binh / Khan, Naimul / Krishnan, Sridhar et al. | 2020
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Predicting Core Characteristics of ASD Through Facial Emotion Recognition and Eye Tracking in YouthJiang, Ming / Francis, Sunday M. / Tseng, Angela / Srishyla, Diksha / DuBois, Megan / Beard, Katie / Conelea, Christine / Zhao, Qi / Jacob, Suma et al. | 2020
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Detection of information flow between cortical laminae activities and auditory evoked potentials in rats by means of Granger causalitySchafer, Z. / Haab, L. / Schwerdtfeger, K. / Takahashi, K. / Strauss, D. J. et al. | 2020
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Research on the Characteristics of Action Potentials and Local Field Potentials in Cortex of Parkinson's Disease Mode Monkey *Xu, Shengwei / Zhang, Yu / Xiao, Guihua / Duan, Yiming / Wang, Mixia / Song, Yilin / Dai, Yuchuan / Liu, Juntao / Luo, Jinping / Zhang, Song et al. | 2020
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Predicting Single-Unit Activity from Local Field Potentials with LSTMsSavolainen, Oscar W. / Constandinou, Timothy G. et al. | 2020
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SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode RecordingsPeralta, Maxime / Bui, Quoc Anh / Ackaouy, Antoine / Martin, Thibault / Gilmore, Greydon / Haegelen, Claire / Sauleau, Paul / Baxter, John S.H. / Jannin, Pierre et al. | 2020
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Spike Detection Technique Based on Spike Augmentation with Low Computational and Hardware ComplexityMirzaei, Sepideh / Hosseini-Nejad, Hossein / Sodagar, Amir M. et al. | 2020
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Spatial Redundancy Reduction in Multi-Channel Implantable Neural Recording MicrosystemsKhazaei, Yousef / Shahkooh, Ali Abbasi / Sodagar, Amir M. et al. | 2020
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Photoplethysmographic Subject Identification by Considering Feature Values Derived from Heartbeat and RespirationHinatsu, Shun / Suzuki, Daisuke / Ishizuka, Hiroki / Ikeda, Sei / Oshiro, Osamu et al. | 2020
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Atrial fibrillation detection using photoplethysmographic signal: the effect of the observation windowCorino, Valentina D.A. / Salibra, Federico / Mainardi, Luca T. et al. | 2020
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Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using PhotoplethysmographyJorge, Joao / Proenca, Martin / Aguet, Clementine / Van Zaen, Jerome / Bonnier, Guillaume / Renevey, Phillipe / Lemkaddem, Alia / Schoettker, Patrick / Lemay, Mathieu et al. | 2020
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Optimal filter characterization for photoplethysmography-based pulse rate and pulse power spectrum estimationCassani, Raymundo / Tiwari, Abhishek / Falk, Tiago H. et al. | 2020
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Parameter Estimation of Hemodynamic Cardiovascular Model for Synthesis of Photoplethysmogram SignalRoy, Dibyendu / Mazumder, Oishee / Chakravarty, Kingshuk / Sinha, Aniruddha / Ghose, Avik / Pal, Arpan et al. | 2020
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A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 1: Single Input Methods*Johnson, Mizpah Selvam S. / Mikael Eklund, J. et al. | 2020
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Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse CodingLalanne, Clement / Rateaux, Maxence / Oudre, Laurent / Robert, Matthieu P. / Moreau, Thomas et al. | 2020
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EEG Artifact Removal by Bayesian Deep Learning & ICALee, Sangmin S. / Lee, Kiwon / Kang, Guiyeom et al. | 2020
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Post-processing algorithm for removing soft-tissue movement artifacts from vibroarthrographic knee-joint signalGong, Rui / Hase, Kazunori / Goto, Hiroaki / Yoshioka, Keisuke et al. | 2020
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Simulating Motion Artifact Using an Autoregressive Model for Research in Biomedical Signal Quality AnalysisFarago, Emma / Chan, Adrian D. C. et al. | 2020
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Artifact Removal in tACS-EEG Recordings: A Combined Methodology Based on the Empirical Wavelet Transform*Yan, Xuanteng / Boudrias, Marie-Helene / Mitsis, Georgios D. et al. | 2020
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Task-Related Systemic Artifacts in Functional Near-Infrared Spectroscopy*Cheong, Daniel / Zhang, Fan / Kim, Kaitlyn / Reid, Adaira / Hanan, Cameron / Ding, Lei / Yuan, Han et al. | 2020
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Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphoneShankar, Nikhil / Bhat, Gautam Shreedhar / Panahi, Issa M. S et al. | 2020
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Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphoneBhat, Gautam Shreedhar / Shankar, Nikhil / Panahi, Issa M.S et al. | 2020
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Analyzing Stimulus-frequency Otoacoustic Emission Fine Structure Using an Additive Model*Liu, Yin / Ji, Fei / Gong, Qin et al. | 2020
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Screening and analysis of specific language impairment in young children by analyzing the textures of speech signalSharma, Garima / Prasad, Deepak / Umapathy, Karthikeyan / Krishnan, Sridhar et al. | 2020
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Compression Fitting of Hearing Aids and ImplementationPatel, Kashyap / Panahi, Issa M. S. et al. | 2020
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Efficient Real-Time Acoustic Feedback Cancellation using Adaptive Noise Injection AlgorithmPatel, Kashyap / Panahi, Issa M. S. et al. | 2020
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Relationship between Vowel Sound Features and Pharyngeal Airway Cross-Sectional Area during Normal Breathing*Saha, Shumit / Viswanathan, Keerthana / Ghahjaverestan, Nasim Montazeri / Yadollahi, Azadeh et al. | 2020
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Instantaneous Respiratory Response of Gamer with High-Risk Internet Gaming Disorder during Game-Film Stimuli by Using Complementary Ensemble Empirical Mode DecompositionJi, Hong-Ming / Hsiao, Tzu-Chien et al. | 2020
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Signal Feature Analysis of Contact Force at the Tip of a Flexible Ureteroscope*Yinan, Deng / Tangwen, Yang / Shaotao, Dai / Song, Guoli et al. | 2020
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Acoustoelectric Signal Decoding Based on Fourier ApproximationSu, Mengyue / Song, Xizi / Zhou, Yijie / Yang, Jiajia / Ke, Yufeng / Ming, Dong et al. | 2020
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Validation of Auscultation Technologies using Objective and Clinical ComparisonsGraceffo, Stephanie / Husain, Amyna / Ahmed, Salahuddin / McCollum, Eric D. / Elhilali, Mounya et al. | 2020
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Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural NetworksSharan, Roneel V. / Berkovsky, Shlomo / Liu, Sidong et al. | 2020
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Different sEMG and EEG Features Analysis for Gait phase RecognitionWei, Pengna / Zhang, Jinhua / Wei, Pingping / Wang, Baozeng / Hong, Jun et al. | 2020
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Muscle Activity Detection during Sleep by Ear-EEGTabar, Yousef R. / Mikkelsen, Kaare B. / Rank, Mike Lind / Christian Hemmsen, Martin / Kidmose, Preben et al. | 2020
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Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm SheepAbbasi, Hamid / Gunn, Alistair J. / Bennet, Laura / Unsworth, Charles P. et al. | 2020
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Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEGAbbasi, Hamid / Gunn, Alistair J. / Bennet, Laura / Unsworth, Charles P. et al. | 2020
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A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG DatasetsMarturano, Francesca / Brigadoi, Sabrina / Doro, Mattia / Dell'Acqua, Roberto / Sparacino, Giovanni et al. | 2020
- 1023
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Detection of Transient Bursts in the EEG of Preterm Infants using Time–Frequency Distributions and Machine LearningMurphy, Brian M. / Goulding, Robert M. / O'Toole, John M. et al. | 2020
- 1027
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Trait empathy modulates brain response to empathy for social rejection: Evidence from electrophysiologyTao, Dan / Leng, Yue / Ge, Sheng / Deng, Huihua et al. | 2020
- 1035
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High Frequency Activity in the Orbital Frontal Cortex Modulates with Mismatched Expectations During Gambling in HumansGunaratnam, Sejal / Talluri, Dinakar / Greene, Patrick / Sacre, Pierre / Gonzalez-Martinez, Jorge / Sarma, Sridevi V. et al. | 2020
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Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm SheepAbbasi, Hamid / Gunn, Alistair J. / Unsworth, Charles P. / Bennet, Laura et al. | 2020
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Emotion Evaluation During Working on a Puzzle by Spatiotemporal Pattern of Band Power of ElectroencephalogramIgasaki, Tomohiko / Hiramatsu, Sho / Yanagihara, Daiki / Baba, Yuta et al. | 2020
- 1047
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Personalized Sleep Spindle Detection in Whole Night PolysomnographyScafa, Stefano / Fiorillo, Luigi / Lucchini, Marta / Roth, Corinne / Agostini, Valentina / Vancheri, Alberto / Faraci, Francesca D. et al. | 2020
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A novel approach to segment cortical neurons in histological images of the near-term fetal sheep brain modelBhattacharya, Saheli / Bennet, Laura / Davidson, Joanne O. / Unsworth, Charles P. et al. | 2020
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A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds DetectionAl-masni, Mohammed A. / Kim, Woo-Ram / Kim, Eung Yeop / Noh, Young / Kim, Dong-Hyun et al. | 2020
- 1059
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Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage SegmentationLu, Yuhao / Zhou, Juan Helen / Guan, Cuntai et al. | 2020
- 1063
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A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy*Jalalifar, Ali / Soliman, Hany / Sahgal, Arjun / Sadeghi-Naini, Ali et al. | 2020
- 1067
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A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector MachineJalalifar, Ali / Soliman, Hany / Ruschin, Mark / Sahgal, Arjun / Sadeghi-Naini, Ali et al. | 2020
- 1071
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A novel Graph Attention Network Architecture for modeling multimodal brain connectivityFilip, Alexandru-Catalin / Azevedo, Tiago / Passamonti, Luca / Toschi, Nicola / Lio, Pietro et al. | 2020
- 1075
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BoostCaps: A Boosted Capsule Network for Brain Tumor ClassificationAfshar, Parnian / Plataniotis, Konstantinos N. / Mohammadi, Arash et al. | 2020
- 1080
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Automatic whole brain vascular territory mappingMatsubara, Ryota / Bivard, Andrew / Parsons, Mark / Sakashita, Naotaka et al. | 2020
- 1084
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Different glucose metabolic brain networks between Subjective Cognitive Decline and Health Control based on graph theory*Dong, Qiuyue / Han, Ying / Jiang, Jiehui et al. | 2020
- 1088
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Drosophila Brain Functional Data Analysis: A Unified FrameworkChang, Wei / Hsiao, Ching-Chun / Lin, Yen-Yin / Chu, Li-An / Swindlehurst, A. Lee / Chu, Shi-Wei / Chiang, Ann-Shyn / Wu, Shun-Chi et al. | 2020
- 1092
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Stability-Based Sparse Paradigm Free Mapping Algorithm for Deconvolution of Functional MRI DataUrunuela, Eneko / Jones, Stephen / Crawford, Anna / Shin, Wanyong / Oh, Sehong / Lowe, Mark / Caballero-Gaudes, Cesar et al. | 2020
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Exploring the relevance between brain glucose metabolism and functional connectivity in Chinese cognitive dysfunctions’ subjects using integrated resting-state PET/MRI imagesDing, Changchang / Han, Ying / Jiang, Jiehui et al. | 2020
- 1100
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Early Detection of Amyloid β Pathology in Alzheimer’s Disease by Molecular MRI*Dong, Celia M. / Guo, Audrey S. / To, Anthea / Chan, Kannie W.Y. / Chow, Aviva S.F. / Bian, Liming / Leong, Alex T.L. / Wu, Ed X. et al. | 2020
- 1104
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Use of multilayer network modularity and spatiotemporal network switching rate to explore changes of functional brain networks in Alzheimer’s diseaseYang, Fan / Li, Yuxia / Han, Ying / Jiang, Jiehui et al. | 2020
- 1108
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Reconstructing the Perceived Faces from Brain Signals without Large Number of Training Samples*Zhang, H. / Wei, Z. X. / Zhou, J. Q. / Tian., J. et al. | 2020
- 1112
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An in-plane, mirror-symmetric visualization tool for deep brain stimulation electrodes*Richner, Thomas J. / Klassen, Bryan T. / Miller, Kai J. et al. | 2020
- 1116
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Effects of Visceral Interoception on Topological Properties of the Brain – A Graph Theory Analysis of Resting state fMRIJarrahi, Behnaz / Kollias, Spyros et al. | 2020
- 1120
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A deep spatiotemporal graph learning architecture for brain connectivity analysisAzevedo, Tiago / Passamonti, Luca / Lio, Pietro / Toschi, Nicola et al. | 2020
- 1124
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Weakly-Supervised Self-Training for Breast Cancer Localization*Liang, Gongbo / Wang, Xiaoqin / Zhang, Yu / Jacobs, Nathan et al. | 2020
- 1128
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A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in MammogramsSarath, Chandra K. / Chakravarty, Arunava / Ghosh, Nirmalya / Sarkar, Tandra / Sethuraman, Ramanathan / Sheet, Debdoot et al. | 2020
- 1132
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A New Benchmark and Method for the Evaluation of Chest Wall Detection in Digital Mammography*Africano, Gerson / Arponen, Otso / Sassi, Antti / Rinta-Kiikka, Irina / Laaperi, Anna-Leena / Pertuz, Said et al. | 2020
- 1136
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A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk AssessmentAfricano, Gerson / Arponen, Otso / Sassi, Antti / Karivaara-Makela, Mirva / Holli-Helenius, Kirsi / Rinta-Kiikka, Irina / Laaperi, Anna-Leena / Pertuz, Said et al. | 2020
- 1140
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Deep Understanding of Breast Density ClassificationCogan, Timothy / Tamil, Lakshman et al. | 2020
- 1144
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Convolutional Neural Network Based Breast Cancer Histopathology Image ClassificationYamlome, Pascal / Akwaboah, Akwasi Darkwa / Marz, Aylin / Deo, Makarand et al. | 2020
- 1148
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Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcopeAsiedu, Mercy N. / Skerrett, Erica / Sapiro, Guillermo / Ramanujam, Nirmala et al. | 2020
- 1152
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Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patientsBologna, Marco / Corino, Valentina / Tenconi, Chiara / Facchinetti, Nadia / Calareso, Giuseppina / Iacovelli, Nicola / Cavallo, Anna / Alfieri, Salvatore / Cavalieri, Stefano / Fallai, Carlo et al. | 2020
- 1156
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Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual ExplanationsChoi, Kihwan / Choi, Seong Ji / Kim, Eun Sun et al. | 2020
- 1160
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A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT ImagesZhang, Zhengdong / Li, Shuai / Wang, Ziyang / Lu, Yun et al. | 2020
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Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-rayAlge, Olivia / Lu, Lu / Li, Zhi / Hua, Yingqi / Gryak, Jonathan / Najarian, Kayvan et al. | 2020
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Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgeryManni, Francesca / Fonolla, Roger / der Sommen, Fons van / Zinger, Svetlana / Shan, Caifeng / Kho, Esther / de Koning, Susan Brouwer / Ruers, Theo / de With, Peter H.N. et al. | 2020
- 1174
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Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MRAhmed, Ahmed / Krishnaswamy, Deepa / Punithakumar, Kumaradevan / Noga, Michelle et al. | 2020
- 1178
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Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol*Varela, Marta / Queiros, Sandro / Anjari, Mustafa / Correia, Teresa / King, Andrew P / Bharath, Anil A / Lee, Jack et al. | 2020
- 1182
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Left Ventricular Flow Analysis in Atrial FibrillationKim, Hansuk / Sheitt, Hana / Jamalidinan, Fatemehsadat / Wilton, Stephen / White, James / Garcia, Julio et al. | 2020
- 1186
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Convolution Pyramid Network: A Classification Network on Coronary Artery Angiogram ImagesChen, Shuang / Tang, Yang / Shi, Xiaotong / Zhang, Honggang / Xie, Lihua / Xu, Bo et al. | 2020
- 1190
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End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic SequencesRoyer-Rivard, Raphael / Girard, Fantin / Dahdah, Nagib / Cheriet, Farida et al. | 2020
- 1194
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PPG3D: Does 3D head tracking improve camera-based PPG estimation?Nagamatsu, Genki / Nowara, Ewa Magdalena / Pai, Amruta / Veeraraghavan, Ashok / Kawasaki, Hiroshi et al. | 2020
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A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice NumbersUslu, Fatmatulzehra / Varela, Marta / Bharath, Anil A. et al. | 2020
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Improving the generalization of deep learning methods to segment the left ventricle in short axis MR imagesGraves, Catharine V. / Moreno, Ramon A. / Rebelo, Marina S. / Nomura, Cesar H. / Gutierrez, Marco A. et al. | 2020
- 1207
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Automatic Pulmonary Vein and Left Atrium Segmentation for TAPVC Preoperative Evaluation Using V-Net with Grouped AttentionLi, Jiang / Chen, Huai / Zhu, Fang / Wen, Chen / Chen, Huiwen / Wang, Lisheng et al. | 2020
- 1211
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Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion SurgeryLu, Yu / Fu, Xianghua / Li, Xiaoqing / Qi, Yingjian et al. | 2020
- 1217
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L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRIKamrul Hasan, S. M. / Linte, Cristian A. et al. | 2020
- 1221
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Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural NetworksPereira, Renato F. / Rebelo, Marina S. / Moreno, Ramon A. / Marco, Anderson G. / Lima, Daniel M. / Arruda, Marcelo A. F. / Krieger, Jose E. / Gutierrez, Marco A. et al. | 2020
- 1225
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A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest RadiographsMitra, Arka / Chakravarty, Arunava / Ghosh, Nirmalya / Sarkar, Tandra / Sethuraman, Ramanathan / Sheet, Debdoot et al. | 2020
- 1229
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AI Chest 4 AllThammarach, P. / Khaengthanyakan, S. / Vongsurakrai, S. / Phienphanich, P. / Pooprasert, P. / Yaemsuk, A. / Vanichvarodom, P. / Munpolsri, N. / Khwayotha, S. / Lertkowit, M. et al. | 2020
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Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph ScreeningChakravarty, Arunava / Sarkar, Tandra / Ghosh, Nirmalya / Sethuraman, Ramanathan / Sheet, Debdoot et al. | 2020
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Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray ImagesFerreira, Jose Raniery / Armando Cardona Cardenas, Diego / Moreno, Ramon Alfredo / de Fatima de Sa Rebelo, Marina / Krieger, Jose Eduardo / Antonio Gutierrez, Marco et al. | 2020
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Dense-Unet: a light model for lung fields segmentation in Chest X-Ray imagesYahyatabar, Mohammad / Jouvet, Philippe / Cheriet, Farida et al. | 2020
- 1246
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Lung Region Segmentation in Chest X-Ray Images using Deep Convolutional Neural NetworksPortela, R. D. S. / Pereira, J. R. G. / Costa, M. G. F. / Filho, C. F. F. Costa et al. | 2020
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Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers*Moghadas-Dastjerdi, Hadi / Sha-E-Tallat, Hira R. / Sannachi, Lakshmanan / Osapoeta, Laurentius O. / Sadeghi-Naini, Ali / Czarnota, Gregory J. et al. | 2020
- 1254
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Learning Latent Spiculated Features for Lung Nodule CharacterizationQiu, Bowen / Furst, Jacob / Rasin, Alexander / Tchoua, Roselyne / Raicu, Daniela et al. | 2020
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An Attention-Guided Deep Neural Network for Annotating Abnormalities in Chest X-ray Images: Visualization of Network Decision Basis*Saednia, Khadijeh / Jalalifar, Ali / Ebrahimi, Shahin / Sadeghi-Naini, Ali et al. | 2020
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A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT ImagesHomma, Noriyasu / Zhang, Xiaoyong / Qureshi, Amber / Konno, Takuya / Kawasumi, Yusuke / Usui, Akihito / Funayama, Masato / Bukovsky, Ivo / Ichiji, Kei / Sugita, Norihiro et al. | 2020
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Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of AnnotationsMcManigle, John E. / Bartz, Raquel R. / Carin, Lawrence et al. | 2020
- 1270
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3D Auto-Segmentation of Mandibular CondylesBrosset, Serge / Dumont, Maxime / Bianchi, Jonas / Ruellas, Antonio / Cevidanes, Lucia / Yatabe, Marilia / Goncalves, Joao / Benavides, Erika / Soki, Fabiana / Paniagua, Beatriz et al. | 2020
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Multiphase Computed Tomographic Angiography with Bone Subtraction Using 3D Multichannel Convolution Neural Networks*Huang, Adam / Cheng, Wen-Hsiang / Lee, Chung-Wei / Yang, Chung-Yi / Liu, Hon-Man et al. | 2020
- 1278
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Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial NetsNitta, Jumpei / Nakao, Megumi / Imanishi, Keiho / Matsuda, Tetsuya et al. | 2020
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MDL-IWS: Multi-view Deep Learning with Iterative Watershed for Pulmonary Fissure SegmentationRoy, Rukhmini / Mazumdar, Suparna / Chowdhury, Ananda S. et al. | 2020
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Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia SubjectsCahyo, Dheo A. Y. / Wong, Damon W. K. / Yow, Ai Ping / Saw, Seang-Mei / Schmetterer, Leopold et al. | 2020
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Feasible Study on Intracranial Hemorrhage Detection and Classification using a CNN-LSTM NetworkKo, Hoon / Chung, Heewon / Lee, Hooseok / Lee, Jinseok et al. | 2020
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Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models*Kim, Incheol / Misra, Dharitri / Rodriguez, Laritza / Gill, Michael / Liberton, Denise K. / Almpani, Konstantinia / Lee, Janice S. / Antani, Sameer et al. | 2020
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Short Scan Source-detector Trajectories for Target-based CBCTHatamikia, Sepideh / Biguri, Ander / Kronreif, Gernot / Russ, Tom / Kettenbach, Joachim / Birkfellner, Wolfgang et al. | 2020
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Statistical Image Restoration for Low-Dose CT using Convolutional Neural Networks*Choi, Kihwan / Kim, Sungwon et al. | 2020
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Compressed Sensing based Image Reconstruction with Projection Recovery for Limited Angle Cone-Beam CT ImagingXie, Shoulie / Huang, Weimin / Yang, Tao / Wu, Dajun / Liu, Huiying et al. | 2020
- 1311
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NMAR3: Normalized Metal Artifact Reduction for Cone Beam Computed TomographyLiu, Huiying / Yang, Tao / Huang, Weimin / Xie, Shoulie / Wu, Dajun et al. | 2020
- 1315
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Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting InterpolationKu, Yijie / Weng, Wenhai / Chen, Zhong / Zheng, Huanqin / Xu, Chuang / Ding, Hui / Li, Lei / Wang, Guangzhi et al. | 2020
- 1319
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Metal Artifacts Reduction in CT Scans using Convolutional Neural Network with Ground Truth EliminationMai, Qi / Wan, Justin W.L. et al. | 2020
- 1323
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Predicting Local Failure after Stereotactic Radiation Therapy in Brain Metastasis using Quantitative CT and Machine Learning*Jaberipour, Majid / Sahgal, Arjun / Soliman, Hany / Sadeghi-Naini, Ali et al. | 2020
- 1327
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Lumbar Vertebrae Synthetic Segmentation in Computed Tomography Images Using Hybrid Deep Generative Adversarial NetworksMalinda, Vania / Lee, Deukhee et al. | 2020
- 1331
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Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test LossSathish, Rakshith / Sathish, Rachana / Sethuraman, Ramanathan / Sheet, Debdoot et al. | 2020
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Evaluating Deep Learning Algorithms in Pulmonary Nodule Detection*Traore, Abdarahmane / Ly, Abdoulaye O. / Akhloufi, Moulay A. et al. | 2020
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An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT imagesGiannini, Valentina / Defeudis, Arianna / Rosati, Samanta / Cappello, Giovanni / Mazzetti, Simone / Panic, Jovana / Regge, Daniele / Balestra, Gabriella et al. | 2020
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An Approach for Asbestos-related Pleural Plaque DetectionSousa, Azael Melo / Castelo-Fernandez, Cesar / Osaku, Daniel / Bagatin, Ericson / Reis, Fabiano / Falcao, Alexandre X. et al. | 2020
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Deformable Registration of Coronary Arteries with Topological Constraints for Image-Guided Vascular InterventionsZhang, Hong / Zhang, Jingyang / Wu, Wei / Xie, Hongzhi / Gu, LiXu et al. | 2020
- 1351
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Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolationKrishnaswamy, Deepa / Noga, Michelle / Punithakumar, Kumaradevan et al. | 2020
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Unsupervised 3D End-to-end Deformable Network for Brain MRI RegistrationZhu, Zhenyu / Cao, Yiqin / Qin, Chenchen / Rao, Yi / Ni, Dong / Wang, Yi et al. | 2020
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Multi-scale U-net with Edge Guidance for Multimodal Retinal Image Deformable RegistrationTian, Yuntong / Hu, Yan / Ma, Yuhui / Hao, Huaying / Mou, Lei / Yang, Jianlong / Zhao, Yitian / Liu, Jiang et al. | 2020
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Statistical Shape Modeling to Determine the Anterior Pelvic Plane for Total Hip Arthroplasty*Guezou-Philippe, Aziliz / Dardenne, Guillaume / Salhi, Asma / Burdin, Valerie / Lefevre, Christian / Stindel, Eric et al. | 2020
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Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural NetworkHu, Ruxue / Wang, Hongkai / Ristaniemi, Tapani / Zhu, Wentao / Sun, Xiaobang et al. | 2020
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A Weak Supervision-based Framework for Automatic Lung Cancer Classification on Whole Slide ImageXu, Xiaowei / Hou, Runping / Zhao, Wangyuan / Teng, Haohua / Sun, Jianqi / Zhao, Jun et al. | 2020
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Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images*Gupta, Krati / Thapar, Daksh / Bhavsar, Arnav / Sao, Anil K. et al. | 2020
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Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate BiopsiesLokhande, Avinash / Bonthu, Saikiran / Singhal, Nitin et al. | 2020
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A Novel Pathological Images and Genomic Data Fusion Framework for Breast Cancer Survival PredictionLi, Shuai / Shi, Haolei / Sui, Dong / Hao, Aimin / Qin, Hong et al. | 2020
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Telepathology Support System with Gross Specimen Image Using High Resolution 4K Multispectral CameraKobayashi, Naoki. / Suzuki, Hiroyuki. / Ishikawa, Masahiro / Obi, Takashi / Ichimura, Takaya / Yanagisawa, Hiroto / Tsuchida, Tetsuya / Sasaki, Atsushi et al. | 2020
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Recursive Additive Complement Networks for Cell Membrane Segmentation in Histological ImagesYamami, Satoshi / Sugimoto, Keita / Takahashi, Masanobu / Nakano, Masayuki et al. | 2020
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Vacuole Segmentation and Quantification in Liver Images of Wistar RatDeshmukh, Sanket / Lokhande, Avinash / Wasnik, Ratul / Singhal, Nitin et al. | 2020
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Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudySikaroudi, Milad / Safarpoor, Amir / Ghojogh, Benyamin / Shafiei, Sobhan / Crowley, Mark / Tizhoosh, H.R. et al. | 2020
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Diabetic Retinopathy (DR) Severity Level Classification Using Multimodel Convolutional Neural NetworksAbidalkareem, Ali J. / Abd, Moaed A. / Ibrahim, Ali K. / Zhuang, Hanqi / Altaher, Ali Salem / Muhamed Ali, Ali et al. | 2020
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Supervised Machine Learning Segmentation and Quantification of Gastric Pacemaker Cells*Mah, Sue Ann / Avci, Recep / Du, Peng / Vanderwinden, Jean-Marie / Cheng, Leo K. et al. | 2020
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Deep Learning Model based Ki-67 Index estimation with Automatically Labelled DataS., Lakshmi / Sai Ritwik, Kotra Venkata / Vijayasenan, Deepu / S., Sumam David / Sreeram, Saraswathy / Suresh, Pooja K et al. | 2020
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Recognizing Magnification Levels in Microscopic SnapshotsZaveri, Manit / Kalra, Shivam / Babaie, Morteza / Shah, Sultaan / Damskinos, Savvas / Kashani, Hany / Tizhoosh, H.R. et al. | 2020
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Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural NetworksWurts, Alexander / Oakley, Derek H. / Hyman, Bradley T. / Samsi, Siddharth et al. | 2020
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Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning MethodChun, Ji Ye / Sendi, Mohammad S. E. / Sui, Jing / Zhi, Dongmei / Calhoun, Vince D. et al. | 2020
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Combining Deep Learning with Handcrafted Features for Cell Nuclei Segmentation *Narotamo, Hemaxi / Sanches, J. Miguel / Silveira, Margarida et al. | 2020
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Interphase Cell Cycle Staging using Deep Learning *Narotamo, Hemaxi / Fernandes, M. Sofia / Miguel Sanches, J. / Silveira, Margarida et al. | 2020
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A V-Net Based Deep Learning Model for Segmentation and Classification of Histological Images of Gastric AblationAghababaie, Zahra / Jamart, Kevin / Chan, Chih-Hsiang Alexander / Amirapu, Satya / Cheng, Leo K. / Paskaranandavadivel, Niranchan / Avci, Recep / Angeli, Timothy R. et al. | 2020
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A novel bounded EIT protocol to generate inhomogeneous skull conductivity maps non-invasivelyFernandez-Corazza, Mariano / Turovets, Sergei / Muravchik, Carlos H. et al. | 2020
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Pulmonary Ventilation and Pulsatile Perfusion Imaging on Premature Neonates using Simultaneous Multi-Source EITKao, Tzu-Jen / Amm, Bruce / Ashe, Jeffrey / Davenport, David et al. | 2020
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Performance of an Adaptive Current Source for EIT Driving Loads through a Shielded Coaxial CableAbdelwahab, Ahmed / Shishvan, Omid Rajabi / Saulnier, Gary J. et al. | 2020
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Measuring Current Source Output Impedance in EIT Systems while Attached to a Load*Shishvan, Omid Rajabi / Abdelwahab, Ahmed / Saulnier, Gary J. et al. | 2020
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The Effect of Internal Electrodes on Electrical Impedance Tomography SensitivityStowe, Symon / Adler, Andy et al. | 2020
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Using Electrical Impedance Tomography in an Experimental Model of Weighted RestraintCampbell, Mark / Mapani, Malitela / Stowe, Symon / Dawson, Jeff W. / Adler, Andy et al. | 2020
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High-Resolution 3D Spin-Echo MRSI Using Interleaved Water Navigators, Sparse Sampling and Subspace-Based ProcessingHo, Ruo-Jing / Lam, Fan et al. | 2020
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Wireless Power Harvesting During MRIVenkateswaran, Madhav / Kurpad, Krishna / Brown, James E. / Fain, Sean / van der Weide, Daniel et al. | 2020
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Investigation of Low-Cost Op-Amps as Decoupling Preamplifiers for MRI Array CoilsSun, Chenhao / Bauer, Courtney / Busher, Joseph / McDougall, Mary P. / Wright, Steven M. et al. | 2020
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Exploring the Inter-voxel Information in Pharmacokinetic Maps for Cervical Carcinoma PredictionZhang, Zhuo / He, Dajiang / Song, Ying / Yan, Zhihan / Wang, Xue / Shao, Jinbo / Hou, Zujun et al. | 2020
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High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural NetworksHossein Hosseini, Seyed Amir / Yaman, Burhaneddin / Moeller, Steen / Akcakaya, Mehmet et al. | 2020
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Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual AlgorithmWang, Haifeng / Cai, Fang / Shi, Caiyun / Cheng, Jing / Su, Shi / Qiu, Zhilang / Xie, Guoxi / Chen, Hanwei / Liu, Xin / Liang, Dong et al. | 2020
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Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRI*Moia, Stefano / Stickland, Rachael C. / Ayyagari, Apoorva / Termenon, Maite / Caballero-Gaudes, Cesar / Bright, Molly G. et al. | 2020
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Aberrant Functional Network Connectivity Transition Probability in Major Depressive DisorderZendehrouh, Elaheh / Sendi, Mohammad. S. E. / Sui, Jing / Fu, Zening / Zhi, Dongmei / Lv, Luxian / Ma, Xiaohong / Ke, Qing / Li, Xianbin / Wang, Chuanyue et al. | 2020
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Multi-subject Task-related fMRI Data Analysis via Generalized Canonical Correlation Analysis *Karakasis, Paris A. / Liavas, Athanasios P. / Sidiropoulos, Nicholas D. / Simos, Panagiotis G. / Papadaki, Efrosyni et al. | 2020
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Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural NetworksXie, Yunlong / Yang, Banghua / Lu, Xi / Zheng, Minmin / Fan, Cunxiu / Bi, Xiaoying / zhou, Shu / Li, Yingjie et al. | 2020
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An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG PotentialsWang, Jiahao / Wei, Mengying / Zhang, Li / Huang, Gan / Liang, Zhen / Li, Linling / Zhang, Zhiguo et al. | 2020
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Patient-Clinician Brain Response During Clinical Encounter and Pain TreatmentAnzolin, A. / Isenburg, K. / Grahl, A. / Toppi, J. / Yucel, M. / Ellingsen, D.M. / Gerber, J. / Ciaramidaro, A. / Astolfi, L. / Kaptchuk, T.J. et al. | 2020
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Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation StrategyWu, Wenshan / Lu, Yuhao / Mane, Ravikiran / Guan, Cuntai et al. | 2020
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Malignancy Detection in Prostate Multi-Parametric MR Images Using U-net with AttentionMachireddy, Archana / Meermeier, Nicholas / Coakley, Fergus / Song, Xubo et al. | 2020
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Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy ImagesR., Kaur / H., GholamHosseini / R., Sinha et al. | 2020
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Thermography for the detection of Secondary Raynaud's Phenomenon by means of the Distal-Dorsal DistanceR., Viana J. / D., Campos / L., Ulbricht / Y., Sato G. / L., Ripka W. et al. | 2020
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Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer*Moreau, Noemie / Rousseau, Caroline / Fourcade, Constance / Santini, Gianmarco / Ferrer, Ludovic / Lacombe, Marie / Guillerminet, Camille / Campone, Mario / Colombie, Mathilde / Rubeaux, Mathieu et al. | 2020
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Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images*Fourcade, Constance / Ferrer, Ludovic / Santini, Gianmarco / Moreau, Noemie / Rousseau, Caroline / Lacombe, Marie / Guillerminet, Camille / Colombie, Mathilde / Campone, Mario / Mateus, Diana et al. | 2020
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Automatic Glaucoma Detection from Stereo Fundus ImagesOng, Ee Ping / Cheng, Jun / Wong, Damon W.K. / Tay, Elton L. T. / Teo, Hwei Yee / Grace Loo, Rosalyn / Yip, Leonard W.L. et al. | 2020
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Enhanced Capsule Network for Medical image classificationZhang, Zhe / Ye, Shiwei / Liao, Pan / Liu, Yan / Su, Guiping / Sun, Yi et al. | 2020
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Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAMHata, Erika / Seo, Chanjin / Nakayama, Masafumi / Iwasaki, Kiyotaka / Ohkawauchi, Takaaki / Ohya, Jun et al. | 2020
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A Study on Tuberculosis Classification in Chest X-ray Using Deep Residual Attention Networks*Zhang, Ran / Duan, Huichuan / Cheng, Jiezhi / Zheng, Yuanjie et al. | 2020
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Autofluorescence Bronchoscopy Video Analysis for Lesion Frame Detection*Chang, Qi / Bascom, Rebecca / Toth, Jennifer / Ahmad, Danish / Higgins, William E. et al. | 2020
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A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy ClassificationJiang, Hongyang / Xu, Jie / Shi, Rongjie / Yang, Kang / Zhang, Dongdong / Gao, Mengdi / Ma, He / Qian, Wei et al. | 2020
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Multiple Slice k-space Deep Learning for Magnetic Resonance Imaging ReconstructionDu, Tianming / Zhang, Yanci / Shi, Xiaotong / Chen, Shuang et al. | 2020
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Unsupervised stratification in neuroimaging through deep latent embeddingsDimitri, Giovanna Maria / Spasov, Simeon / Duggento, Andrea / Passamonti, Luca / Lio', Pietro / Toschi, Nicola et al. | 2020
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Limited-Angle Computed Tomography Reconstruction using Combined FDK-Based Neural Network and U-NetWang, Yiying / Yang, Tao / Huang, Weimin et al. | 2020
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Validation study of a novel method for the 3D reconstruction of coronary bifurcationsTsompou, Panagiota I. / Andrikos, Ioannis O. / Karanasiou, Georgia S. / Sakellarios, Antonis I. / Tsigkas, Nikolaos / Kigka, Vassiliki I. / Kyriakidis, Savvas / Michalis, Lampros K. / Fotiadis, Dimitrios I. / Author, S. B. et al. | 2020
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3D MR image denoising using a modified adaptive high order singular value decomposition method*Wang, Li / Hou, Wen S. / Wu, Xiao Y. / Chen, Lin et al. | 2020
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MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet LossRamanarayanan, Sriprabha / Murugesan, Balamurali / Kalyanasundaram, Ananth / Prabhakaran, Surya / Ram, Keerthi / Patil, Shantanu / Sivaprakasam, Mohanasankar et al. | 2020
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Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial NetworksHaiderbhai, Mustafa / Ledesma, Sergio / Navab, Nassir / Fallavollita, Pascal et al. | 2020
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Triple Multi-scale Adversarial Learning with Self-attention and Quality Loss for Unpaired Fundus Fluorescein Angiography SynthesisCai, Zhuotong / Xin, Jingmin / Wu, Jiayi / Liu, Sijie / Zuo, Weiliang / Zheng, Nanning et al. | 2020
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3-To-1 Pipeline: Restructuring Transfer Learning Pipelines for Medical Imaging Classification via Optimized GAN Synthetic ImagesJian Choong, Ross Zhi / Austin Harding, Seth / Tang, Bo-yen / Liao, Shih-wei et al. | 2020
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Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural NetworkAnnala, Leevi / Neittaanmaki, Noora / Paoli, John / Zaar, Oscar / Polonen, Ilkka et al. | 2020
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Low-Cost Eye Phantom for Stereophotogrammetry-Based Optic Nerve Head Topographical 3D ImagingCoghill, Ian / Black, Richard A. / Livingstone, Iain A. T. / Giardini, Mario E. et al. | 2020
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X-ray2Shape: Reconstruction of 3D Liver Shape from a Single 2D Projection ImageTong, Fei / Nakao, Megumi / Wu, Shuqiong / Nakamura, Mitsuhiro / Matsuda, Tetsuya et al. | 2020
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UENet: A Novel Generative Adversarial Network for Angiography Image SegmentationShi, Xiaotong / Du, Tianming / Chen, Shuang / Zhang, Honggang / Guan, Changdong / Xu, Bo et al. | 2020
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AEC-Net: Attention and Edge Constraint Network for Medical Image SegmentationWang, Jingyi / Zhao, Xu / Ning, Qingtian / Qian, Dahong et al. | 2020
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Deeply Supervised Active Learning for Finger Bones SegmentationZhao, Ziyuan / Yang, Xiaoyan / Veeravalli, Bharadwaj / Zeng, Zeng et al. | 2020
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Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationMasoudi, Samira / Anwar, Syed M. / Harmon, Stephanie A. / Choyke, Peter L. / Turkbey, Baris / Bagci, Ulas et al. | 2020
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Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical ConstraintsLi, Ruikun / Chen, Huai / Gong, Guanzhong / Wang, Lisheng et al. | 2020
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MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI imagesKuang, Xihe / Cheung, Jason PY / Wu, Honghan / Dokos, Socrates / Zhang, Teng et al. | 2020
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Chromosome Segmentation via Data Simulation and Shape LearningChen, Pingjun / Cai, Jinzheng / Yang, Lin et al. | 2020
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Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT ImagesMao, Xiaoqian / Zhao, Yitian / Chen, Bang / Ma, Yuhui / Gu, Zaiwang / Gu, Shenshen / Yang, Jianlong / Cheng, Jun / Liu, Jiang et al. | 2020
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An Efficient Lens Structures Segmentation Method on AS-OCT ImagesCao, Guiping / Zhao, Wei / Higashita, Risa / Liu, Jiang / Chen, Wan / Yuan, Jin / Zhang, Yubing / Yang, Ming et al. | 2020
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Extracting Membrane Borders in IVUS Images Using a Multi-Scale Feature Aggregated U-NetXia, Menghua / Yan, Wenjun / Huang, Yi / Guo, Yi / Zhou, Guohui / Wang, Yuanyuan et al. | 2020
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Efficient Deep Learning-based Wound-bed Segmentation For Mobile ApplicationsOng, Ee Ping / Tang Ka Yin, Christina / Lee, Beng-Hai et al. | 2020
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Surgical tool segmentation and localization using spatio-temporal deep networkKanakatte, Aparna / Ramaswamy, Akshaya / Gubbi, Jayavardhana / Ghose, Avik / Purushothaman, Balamuralidhar et al. | 2020
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Further Development of Subspace Imaging to Magnetic Resonance Fingerprinting: A Low-rank Tensor ApproachZhao, Bo / Setsompop, Kawin / Salat, David / Wald, Lawrence L. et al. | 2020
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Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinomaFontaine, Pierre / Riet, Francois-Georges / Castelli, Joel / Gnep, Khemara / Depeursinge, Adrien / Crevoisier, Renaud De / Acosta, Oscar et al. | 2020
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Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance ImagesDe Santi, B. / Salvi, M. / Giannini, V. / Meiburger, K. M. / Marzola, F. / Russo, F. / Bosco, M. / Molinari, F. et al. | 2020
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A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI imagesPanic, Jovana / Defeudis, Arianna / Mazzetti, Simone / Rosati, Samanta / Giannetto, Giuliana / Vassallo, Lorenzo / Regge, Daniele / Balestra, Gabriella / Giannini, Valentina et al. | 2020
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Automated Detection of Juvenile Myoclonic Epilepsy using CNN based Transfer Learning in Diffusion MRI*Si, Xiaopeng / Zhang, Xingjian / Zhou, Yu / Sun, Yulin / Jin, Weipeng / Yin, Shaoya / Zhao, Xin / Li, Qiang / Ming, Dong et al. | 2020
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Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion*Luo, Zhongqiang / Long, Qunfang / Bhinge, Suchita / Akhonda, M. A. B. S. / Adali, Tulay et al. | 2020
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Inter-Subject Clustering of Brain Fibers from Whole-Brain TractographyHuerta, Isaias / Vazquez, Andrea / Lopez-Lopez, Narciso / Houenou, Josselin / Poupon, Cyril / Mangin, Jean-Francois / Guevara, Pamela / Hernandez, Cecilia et al. | 2020
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Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3,152 participantsYeung, Hon Wah / Luz, Saturnino / Cox, Simon R. / Buchanan, Colin R. / Whalley, Heather C. / Smith, Keith M. et al. | 2020
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GeoSP: A parallel method for a cortical surface parcellation based on geodesic distanceLopez-Lopez, Narciso / Vazquez, Andrea / Poupon, Cyril / Mangin, Jean-Francois / Ladra, Susana / Guevara, Pamela et al. | 2020
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Rapid Quantification of White Matter Disconnection in the Human BrainZayed, Abdelrahman / Iturria-Medina, Yasser / Villringer, Arno / Sehm, Bernhard / Steele, Christopher J. et al. | 2020
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Disruption of structural brain networks in Primary Open Angle GlaucomaCio, F. Di / Garaci, F. / Minosse, S. / Passamonti, L. / Martucci, A. / Lanzafame, S. / Giuliano, F. Di / Picchi, E. / Mancino, R. / Guerrisi, M. et al. | 2020
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Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net)Jha, Ranjeet Ranjan / Nigam, Aditya / Bhavsar, Arnav / Pathak, Sudhir K / Schneider, Walter / K, Rathish et al. | 2020
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Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural NetworksKamali, Tahereh / Hagerman, Katharine A. / Day, John W. / Sampson, Jacinda / Lim, Kelvin O. / Mueller, Bryon A. / Wozniak, Jeffrey et al. | 2020
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A novel spatiotemporal tool for the automatic classification of fMRI noise based on Independent Component AnalysisTassi, E. / Maggioni, E. / Cerutti, S. / Brambilla, P. / Bianchi, A.M. et al. | 2020
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Impact of Intravesical Cold Sensation on Functional Network Connectivity Estimated Using ICA at Rest & During Interoceptive TaskJarrahi, Behnaz / Kollias, Spyros et al. | 2020
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Disruption of brain network organization in patients with human immunodeficiency virus (HIV) infectionMinosse, Silvia / Picchi, Eliseo / Giuliano, Francesca Di / Lanzafame, Simona / Manenti, Guglielmo / Pistolese, Chiara Adriana / Sarmati, Loredana / Teti, Elisabetta / Andreoni, Massimo / Floris, Roberto et al. | 2020
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Global and local reorganization of brain network connectivity in sudden sensorineural hearing lossMinosse, Silvia / Garaci, Francesco / Martino, Federica / Mauro, Roberta Di / Melis, Milena / Giuliano, Francesca Di / Picchi, Eliseo / Floris, Roberto / Guerrisi, Maria / Girolamo, Stefano Di et al. | 2020
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Altered Intramodular Functional Connectivity in Drug Naïve Obsessive-Compulsive Disorder PatientsYe, Qianqian / Zhang, Zongfeng / Fan, Qing / Li, Yao et al. | 2020
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Disrupted Coupling Between NAA and Functional Connectivity in Ventromedial Prefrontal Cortex of Drug-Naïve First-Episode PsychosisLi, Wenli / Xiang, Qiong / Liu, Dengtang / Li, Yao et al. | 2020
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Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls*Hu, Mengjiao / Sim, Kang / Zhou, Juan Helen / Jiang, Xudong / Guan, Cuntai et al. | 2020
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Diffusion Kurtosis Imaging Reveals Optic Tract Damage That Correlates with Clinical Severity in GlaucomaSun, Zhe / Parra, Carlos / Bang, Ji Won / Fieremans, Els / Wollstein, Gadi / Schuman, Joel S. / Chan, Kevin C. et al. | 2020
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Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance ImagesElazab, Ahmed / Wang, Changmiao / Safdar Gardezi, Syed Jamal / Bai, Hongmin / Wang, Tianfu / Lei, Baiying / Chang, Chunqi et al. | 2020
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U-net combined with CRF and anatomical based spatial features to segment white matter hyperintensitiesZhou, PengZheng / Liang, Li / Guo, XuTao / Lv, Haiyan / Wang, Tong / Ma, Ting et al. | 2020
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Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer GradingWodzinski, Marek / Banzato, Tommaso / Atzori, Manfredo / Andrearczyk, Vincent / Cid, Yashin Dicente / Muller, Henning et al. | 2020
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Use of radiomic features and support vector machine to discriminate subjective cognitive decline and healthy controls *Wu, Yue / Li, Taoran / Han, Ying / Jiang, Jiehui et al. | 2020
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Evaluation and comparison of global-feature-based and local-feature-based segmentation algorithms in intracranial visual pathway delineationLiu, Yan / Gu, Xuejun et al. | 2020
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aNy-way Independent Component AnalysisDuan, Kuaikuai / Calhoun, Vince D. / Liu, Jingyu / Silva, Rogers F. et al. | 2020
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Do cognitive reserve levels affect brain glucose metabolism and amyloid-β depositions in subjective cognitive decline subjects?Liu, Chunhua / Chen, Guanquan / Han, Ying / Jiang, Jiehui et al. | 2020
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High-Resolution Mapping of Intestinal Spike Bursts and MotilityKuruppu, Sachira / Cheng, Leo K. / Angeli, Timothy R. / Avci, Recep / Paskaranandavadivel, Niranchan et al. | 2020
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Customized Access Technology for Children using Head Movement Recognition*Orlandi, Silvia / Hotze, Fanny / Lim, Derrick / Estrada, Sofia Gonzalez / Muir, Destinee / Friesen, Hilary A. / Chau, Tom et al. | 2020
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Study of the Refraction Effects in Microwave Breast Imaging Using a Dry Setup*Godinho, Daniela M. / Felicio, Joao M. / Fernandes, Carlos A. / Conceicao, Raquel C. et al. | 2020
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4D-CT Hyper-Elastography Using a Biomechanical ModelMiranda, Dayton / Jafari, Parya / Dempsey, Sergio / Samani, Abbas et al. | 2020
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MNP Enhanced Microwave Imaging by Means of Pseudo-Noise Sensing with Different External Magnetic Field ModulationsLey, Sebastian / Faenger, Bernd / Hilger, Ingrid / Helbig, Marko et al. | 2020
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Towards Contactless Estimation of Electrodermal Activity CorrelatesBhamborae, Mayur J. / Flotho, Philipp / Mai, Adrian / Schneider, Elena N. / Francis, Alexander L. / Strauss, Daniel J. et al. | 2020
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Adaptable Sensor Arrays for Fetal Magnetocardiographic Measurements Using Optically-Pumped Magnetometers: A Pilot StudyEscalona-Vargas, Diana / Eswaran, Hari et al. | 2020
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Combining Millimeter-Wave Imaging, Ultrasound and Elastography in a New Multimodal Approach for Breast Cancer Detection: Initial Experimental Results*Meo, Simona Di / Pasotti, Lorenzo / Lashkevich, Elena / Magenes, Giovanni / Pasian, Marco / Matrone, Giulia et al. | 2020
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Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNNNishimura, Kazuya / Bise, Ryoma et al. | 2020
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Fully Automated Detection and Classification of White Blood CellsWijesinghe, Chinthalanka B. / Wickramarachchi, Dilshan N. / Kalupahana, Iyani N. / De Seram, Lokesha R. / Silva, Indira D. / Nanayakkara, Nuwan D. et al. | 2020
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Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy ImagesChu, Slo-Li / Abe, Kuniya / Yokota, Hideo / Sudo, Kazuhiro / Nakamura, Yukio / Chang, Yuan-Hsiang / Fang, Liang-Che / Tsai, Ming-Dar et al. | 2020
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Automatic Quality Assessment of Reflectance Confocal Microscopy Mosaics using Attention-Based Deep Neural NetworkWodzinski, Marek / Pajak, Miroslawa / Skalski, Andrzej / Witkowski, Alexander / Pellacani, Giovanni / Ludzik, Joanna et al. | 2020
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Compressed Sensing Structured Illumination MicroscopyOzgurun, Baturay / Cetin, Mujdat et al. | 2020
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Automated circumpapillary retinal nerve fiber layer segmentation in high-resolution swept-source OCTYow, Ai Ping / Tan, Bingyao / Chua, Jacqueline / Aung, Tin / Husain, Rahat / Schmetterer, Leopold / Wong, Damon et al. | 2020
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Development of a Dual-Wavelength Isosbestic Wireless Fiber Photometry Platform for Live Animals StudiesFeshki, Mohamad / Monfared, Mohamad Sadegh / Gosselin, Benoit et al. | 2020
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Computer Vision Challenges for Chronic Wounds AssessmentTeixeira, Paula A. / Sousa, Paulino A. / Coimbra, M et al. | 2020
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Investigation into Effect of Thrombomodulin Alfa for Septic Model Rats based on Microcirculation Image AnalysisKawasaki, Mami / Nakano, Kazuya / Ohnishi, Takashi / Sekine, Masashi / Watanabe, Eizo / Oda, Shigeto / Nakada, Taka-aki / Haneishi, Hideaki et al. | 2020
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Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image GenerationWidya, Aji Resindra / Monno, Yusuke / Okutomi, Masatoshi / Suzuki, Sho / Gotoda, Takuji / Miki, Kenji et al. | 2020
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Fully Automated Pipeline for Body Composition Estimation from 3D Optical Scans using Principal Component Analysis: A Shape Up StudySobhiyeh, Sima / Borel, Nathan / Dechenaud, Marcelline / Graham, Clinten A / Wong, Michael / Wolenski, Peter / Shepherd, John / Heymsfield, Steven B. et al. | 2020
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Single-axon level automatic segmentation and feature extraction from immuhistochemical images of peripheral nervesToth, Viktor / Jayaprakash, Naveen / Abbas, Adam / Khan, Ariba / Zanos, Stavros / Zanos, Theodoros P. et al. | 2020
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Performance Evaluation Of Convolutions And Atrous Convolutions In Deep Networks For Retinal Disease Segmentation On Optical Coherence Tomography VolumesAlsaih, Khaled / Yusoff, Mohd Z. / Tang, Tong B. / Faye, Ibrahima / Meriaudeau, Fabrice et al. | 2020
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Role of the Choroid in Automated Age-related Macular Degeneration Detection from Optical Coherence Tomography ImagesSrivastava, Ruchir / Ong, Ee Ping / Lee, Beng-Hai et al. | 2020
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Intracoronary near infrared autofluorescence signal calibrationAthanasiou, Lambros / Brushett, Christopher D. / Watanabe, Kohei / Yamada, Daisuke / Chernich, Emily C. / Verma, Sarika / Honda, Tokuyuki et al. | 2020
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Localization of Anatomical Features in Vascular-enhanced Enface OCT ImagesWong, Damon W.K. / Yow, Ai Ping / Tan, Bingyao / Xinwen, Yao / Chua, Jacqueline / Schmetterer, Leopold et al. | 2020
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Super-resolution technology to simultaneously improve optical & digital resolution of optical coherence tomography via deep learningCao, Shengting / Yao, Xinwen / Koirala, Nischal / Brott, Brigitta / Litovsky, Silvio / Ling, Yuye / Gan, Yu et al. | 2020
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Three-dimensional choroidal vessel network quantification using swept source optical coherence tomographyTan, Bingyao / Wong, Damon W.K. / Yow, Ai Ping / Yao, Xinwen / Schmetterer, Leopold et al. | 2020
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OrgaNet: A Robust Network for Subcellular Organelles Classification in Fluorescence Microscopy ImagesTran, Duc Hoa / Meunier, Michel / Cheriet, Farida et al. | 2020
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Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic ImagesWang, Qiang / Hopgood, James R. / Finlayson, Neil / Williams, Gareth O. S. / Fernandes, Susan / Williams, Elvira / Akram, Ahsan / Dhaliwal, Kevin / Vallejo, Marta et al. | 2020
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Detection of Filamentous Microorganisms in Fluorescence Microscopy ImagesYu, Yongjian / Wang, Jue et al. | 2020
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Time-Multiplexed Illumination for simultaneous Structural and Functional Voltage Sensitive Dye Recordings with a single Photo SensorHaab, Lars / Flotho, Philipp / Eckert, David / Schwerdtfeger, Karsten / Huelser, Matthias / Strauss, Daniel J. / Moeller, Michael et al. | 2020
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Automatic Bacillus Detection in Light Field Microscopy Images Using Convolutional Neural Networks and Mosaic Imaging ApproachSerrao, M. K. M. / Costa, M. G. F. / Fujimoto, L. B. / Ogusku, M. M. / Filho, C. F. F. Costa et al. | 2020
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Automated Analysis of Brain Microvasculature: From Segmentation to Anatomical ModelingDamseh, Rafat / Delafontaine-Martel, Patrick / James-Marchand, Paul / Sirpal, Parikshat / Cheriet, Farida / Lesage, Frederic et al. | 2020
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Frequency-domain Dual-contrast Photoacoustic Imaging with Chirp ModulationWang, Yiyun / Zhong, Hongtao / Jiang, Daohuai / Lan, Hengrong / Zhang, Juze / Yaxin, Ma / Gao, Feng / Gao, Fei et al. | 2020
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Photoacoustic-guided Transcranial HIFU with Combined Time-reversal and Genetic AlgorithmZhang, Juze / Lan, Hengrong / Ma, Yaxin / Wang, Yiyun / Gao, Feng / Gao, Fei et al. | 2020
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Human Breast Numerical Model Generation Based on Deep Learning for Photoacoustic ImagingMa, Yaxin / Yang, Changchun / Zhang, Juze / Wang, Yiyun / Gao, Feng / Gao, Fei et al. | 2020
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A Novel Reconstruction Method with Time Reversal Algorithm and Evaluations for Photoacoustic TomographyLai, Dakun / Mao, Liang / Xu, Qi / Li, Jun et al. | 2020
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Study for quantitative evaluation of photoaging with photoacoustic microscopyHattori, Hiroki / Namita, Takeshi / Kondo, Kengo / Yamakawa, Makoto / Shiina, Tsuyoshi et al. | 2020
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Development of a Semaphore of Anemia: Screening Method Based on Photographic Images of the Ungueal Bed Using a Digital CameraHermoza, Luis / De La Cruz, Javier / Fernandez, Elsa / Castaneda, Benjamin et al. | 2020
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Towards an automated classification method for ureteroscopic kidney stone images using ensemble learningMartinez, Adriana / Trinh, Dinh-Hoan / El Beze, Jonathan / Hubert, Jacques / Eschwege, Pascal / Estrade, Vincent / Aguilar, Lina / Daul, Christian / Ochoa, Gilberto et al. | 2020
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Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical ImagesReisinho, Jose / Coimbra, Miguel / Renna, Francesco et al. | 2020
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Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings – Engineering approachHu, Liming / Horning, Matthew P. / Banik, Dipayan / Ajenifuja, Olusegun Kayode / Adepiti, Clement Akinfolarin / Yeates, Karen / Mtema, Zac / Wilson, Ben / Mehanian, Courosh et al. | 2020
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Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNsHanif, Umaer / Paulsen, Rasmus R. / Leary, Eileen B. / Mignot, Emmanuel / Jennum, Poul / Sorensen, Helge B. D. et al. | 2020
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Multi-Target Deep Learning for Algal Detection and ClassificationQian, Peisheng / Zhao, Ziyuan / Liu, Haobing / Wang, Yingcai / Peng, Yu / Hu, Sheng / Zhang, Jing / Deng, Yue / Zeng, Zeng et al. | 2020
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MAU-Net: A Retinal Vessels Segmentation MethodLi, Han / Wang, YiKuang / Wan, Cheng / Shen, JianXin / Chen, ZhiQiang / Ye, Hui / Yu, QiuLi et al. | 2020
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System design of a physiological ambient illumination adaptation for subretinal stimulatorMoll, Steffen / Gambach, Stefan / Schutz, Henning / Steinhoff, Raphael / Kaim, Hans / Rothermel, Albrecht et al. | 2020
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