Deep Learning With Anatomical Priors: Imitating Enhanced Autoencoders In Latent Space For Improved Pelvic Bone Segmentation In MRI (English)
- New search for: Pham, D. D.
- New search for: Dovletov, G.
- New search for: Warwas, S.
- New search for: Landgraeber, S.
- New search for: Jager, M.
- New search for: Pauli, J.
- New search for: Pham, D. D.
- New search for: Dovletov, G.
- New search for: Warwas, S.
- New search for: Landgraeber, S.
- New search for: Jager, M.
- New search for: Pauli, J.
In:
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
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1166-1169
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2019
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ISBN:
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ISSN:
- Conference paper / Electronic Resource
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Title:Deep Learning With Anatomical Priors: Imitating Enhanced Autoencoders In Latent Space For Improved Pelvic Bone Segmentation In MRI
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Contributors:Pham, D. D. ( author ) / Dovletov, G. ( author ) / Warwas, S. ( author ) / Landgraeber, S. ( author ) / Jager, M. ( author ) / Pauli, J. ( author )
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Published in:
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Publisher:
- New search for: IEEE
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Publication date:2019-04-01
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Size:158955 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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3D Convolutional Neural Network Segmentation of White Matter Tract Masks from MR Diffusion Anisotropy MapsPomiecko, Kristofer / Sestili, Carson / Fissell, Kate / Pathak, Sudhir / Okonkwo, David / Schneider, Walter et al. | 2019
- 1
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ISBI 2019 Technical Program Schedule| 2019
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Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary LabelsHarouni, Ahmed / Wang, Hongzhi / Syeda-Mahmood, Tanveer / Beymer, David et al. | 2019
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- 15
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- 24
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Liver Steatosis Segmentation With Deep Learning MethodsGuo, Xiaoyuan / Wang, Fusheng / Teodoro, George / Farris, Alton B. / Kong, Jun et al. | 2019
- 28
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- 32
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- 36
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- 36
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ISBI 2019 Author Index| 2019
- 40
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Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy ImagesWollmann, T. / Ritter, C. / Dohrke, J. N. / Lee, J.-Y. / Bartenschlager, R. / Rohr, K. et al. | 2019
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Automated Quantification With Sub-Micrometer Scale Precision In Volumetric Multicolor Multiphoton Microscopy ImagesPhan, M.S. / Matho, K. / Abdeladim, L. / Livet, J. / Beaurepaire, E. / Chessel, A. et al. | 2019
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Automated Quantification of Amyloid Fibrils Morphological Features by Image Processing TechniquesYin, Yi / Prigent, Stephanie / Torrent, Joan / Rezaei, Human / Drasdo, Dirk / Doumic, Marie et al. | 2019
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Three Dimensional Blind Image Deconvolution for Fluorescence Microscopy using Generative Adversarial NetworksLee, Soonam / Han, Shuo / Salama, Paul / Dunn, Kenneth W. / Delp, Edward J. et al. | 2019
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A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence MicroscopyRadhakrishnan, Thyagarajan / Awatey, Suyash P. et al. | 2019
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Super-Resolution Reconstruction of Transmission Electron Microscopy Images Using Deep LearningSuveer, Amit / Gupta, Anindya / Kylberg, Gustaf / Sintorn, Ida-Maria et al. | 2019
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Three-dimensional deconvolution based on axial-scanning model for structured illumination microscopyShabani, H. / Labouesse, S. / Sentenac, A. / Preza, C. et al. | 2019
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Uncertainty-Aware Artery/Vein Classification on Retinal ImagesGaldran, Adrian / Meyer, M. / Costa, P. / MendonCa / Campilho, A. et al. | 2019
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Deep Learning for Weak Supervision of Diabetic Retinopathy AbnormalitiesAhmad, Maroof / Kasukurthi, Nikhil / Pande, Harshit et al. | 2019
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Dynamic Region Proposal Networks For Semantic Segmentation In Automated Glaucoma ScreeningShah, Shivam / Kasukurthi, Nikhil / Pande, Harshit et al. | 2019
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Synthesis of Optical Nerve Head Region of Fundus ImageDeshmukh, Anurag / Sivaswamy, Jayanthi et al. | 2019
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Projection Artifact Suppression For Inner Retina In Oct AngiographyLiu, Yihao / Carass, Aaron / Filippatou, Angeliki / He, Yufan / Solomon, Sharon D. / Saidha, Shiv / Calabresi, Peter A. / Prince, Jerry L. et al. | 2019
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Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus ImagesYan, Zizheng / Han, Xiaoguang / Wang, Changmiao / Qiu, Yuda / Xiong, Zixiang / Cui, Shuguang et al. | 2019
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Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid SegmentationSeebock, Philipp / Romo-Bucheli, David / Waldstein, Sebastian / Bogunovic, Hrvoje / Orlando, Jose Ignacio / Gerendas, Bianca S. / Langs, Georg / Schmidt-Erfurth, Ursula et al. | 2019
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Non-Invasive Locating Of Premature Ventricular Contraction Origin With Low Rank/Tv RegularizationFang, Lin / Liu, Huafeng et al. | 2019
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A Radiomics Approach to Analyze Cardiac Alterations in HypertensionCetin, Irem / Petersen, Steffen E. / Napel, Sandy / Camara, Oscar / Ballester, Miguel Angel Gonzalez / Lekadir, Karim et al. | 2019
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Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based DescriptorsMedley, Daniela O. / Santiago, Carlos / Nascimento, Jacinto C. et al. | 2019
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Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as PriorJafari, Mohammad H. / Girgis, Hany / Abdi, Amir H. / Liao, Zhibin / Pesteie, Mehran / Rohling, Robert / Gin, Ken / Tsang, Terasa / Abolmaesumi, Purang et al. | 2019
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Patch-Based Sparse Representation For Bacterial DetectionEldaly, A. K. / Altmann, Y. / Akram, A. / Perperidis, A. / Dhaliwal, K. / McLaughlin, S. et al. | 2019
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Dynamic Atlasing Of Gene Expression Domains From Individual ImagesOughou, Mohamed / Cunha, Eric / Biot, Eric / Arnaud, Nicolas / Laufs, Patrick / Andrey, Philippe / Burguet, Jasmine et al. | 2019
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Hierarchical Joint Registration of Tissue Blocks With Soft Shape Constraints For Large-Scale Histology of The Human BrainMancini, M. / Crampsie, S. / Thomas, D.L. / Jaunmuktane, Z. / Holton, J.L. / Iglesias, J.E. et al. | 2019
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Weakly Supervised Learning in Deformable EM Image Registration Using Slice InterpolationNguyen-Duc, Thanh / Yoo, Inwan / Thomas, Logan / Kuan, Aaron / Lee, Wei-chung / Jeong, Won-Ki et al. | 2019
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Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural NetworksZanjani, F. Ghazvinian / Panteli, A. / Zinger, S. / Sommen, F. van der / Tan, T. / Balluff, B. / Vos, D. R. N. / Ellis, S. R. / Heeren, R. M. A. / Lucas, M. et al. | 2019
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Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker DiscoveryCano-Espinosa, Carlos / Gonzalez, German / Washko, George R. / Cazorlaa, Miguel / Estepar, Raul San Jose et al. | 2019
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A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion SegmentationAbraham, Nabila / Khan, Naimul Mefraz et al. | 2019
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Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual FeaturesEbrahimi, Shahin / Gajny, Laurent / Skalli, Wafa / Angelini, Elsa D. et al. | 2019
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MGB-NET: Orbital Bone Segmentation from Head and Neck CT Images Using Multi-Graylevel-Bone Convolutional NetworksLee, Min Jin / Hong, Helen / Shim, Kyu Won / Park, Seongeun et al. | 2019
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Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRIMeyer, Anneke / Rakr, Marko / Schindele, Daniel / Blaschke, Simon / Schostak, Martin / Fedorov, Andriy / Hansen, Christian et al. | 2019
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High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2RageBeaumont, J. / Saint-Jalmes, H. / Acosta, O. / Kober, T. / Tanner, M. / Ferre, J.C. / Salvado, O. / Fripp, J. / Gambarota, G. et al. | 2019
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A Multi-Atlas Guided 3D Fully Convolutional Network for MRI-Based Subcortical SegmentationWu, Jiong / Zhang, Yue / Tang, Xiaoying et al. | 2019
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Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation InformationMahapatra, Dwarikanath / Ge, Zongyuan et al. | 2019
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Facilitating Manual Segmentation of 3D Datasets Using Contour And Intensity Guided InterpolationRavikumar, Sadhana / Wisse, Laura / Gao, Yang / Gerig, Guido / Yushkevich, Paul et al. | 2019
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Compression And Intensity Modules For Brain MRI SegmentationAhn, Sang-il / Bui, Toan Duc / Shin, Jitae et al. | 2019
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Brain Image Parcellation Using Multi-Atlas Guided Adversarial Fully Convolutional NetworkLiu, Xianli / Zhao, Haifeng / Zhang, Shaojie / Tan, Zhenyu et al. | 2019
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A Deep Learning Pipeline for Automatic Skull Stripping and Brain SegmentationYogananda, Chandan Ganesh Bangalore / Wagner, Benjamin C. / Murugesan, Gowtham K. / Madhuranthakam, Ananth / Maldjian, Joseph A. et al. | 2019
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A Radiomics Approach to Traumatic Brain Injury Prediction in CT ScansRosa, Ezequiel de la / Sima, Diana M. / Vyvere, Thijs Vande / Kirschke, Jan S. / Menze, Bjoern et al. | 2019
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One-Shot Learning for Function-Specific Region Segmentation in Mouse BrainZhang, Xu / Li, Zhuowei / Wang, Pei-Jie / Liao, Katelyn Y. / Chou, Shen-Ju / Chang, Shih-Fu / Liao, Jung-Chi et al. | 2019
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Quantitative Photoacoustic Blood Oxygenation Imaging Using Deep Residual And Recurrent Neural NetworkYang, Changchun / Lan, Hengrong / Zhong, Hongtao / Gao, Fei et al. | 2019
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Suppressing Clutter Components In Ultrasound Color Flow Imaging Using Robust Matrix Completion Algorithm: Simulation And Phantom StudyAshikuzzaman, Md / Belasso, Clyde / Gauthier, Claudine J. / Rivaz, Hassan et al. | 2019
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Modelling Continuous Arterial Blood Data from MR-Compatible Sampler in Simultenous Pet-MRI ExperimentsSantangelo, Barbara / Dunn, Joel / Beck, Katherine / McGinnity, Colm J. / Tonietto, Matteo / Turkheimer, Federico / Howes, Oliver / Veronese, Mattia et al. | 2019
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Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen MalformationsPatel, Premal A / Flouri, Dimitra / Rennie, Adam / Robertson, Fergus / Davies, Lauren / Ganesan, Vijeya / Bhate, Sanjay / Coppi, Paolo De / Vercauteren, Tom / Melbourne, Andrew et al. | 2019
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Deep Learning for Recognition of Endoleak After Endovascular Abdominal Aortic Aneurysm RepairHahn, Sage / Morris, Christopher S. / Bertges, Daniel J. / Wshah, Safwan et al. | 2019
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FR-NET: Focal Loss Constrained Deep Residual Networks for Segmentation of Cardiac MRIChen, Mingqiang / Fang, Lin / Liu, Huafeng et al. | 2019
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Cerebrovascular Network Segmentation of MRA Images With Deep LearningSanchesa, Pedro / Meyer, Cyril / Vigon, Vincent / Naegel, Benoit et al. | 2019
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Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal SurgeryTorrents-Barrena, Jordina / Piella, Gemma / Masoller, Narcis / Gratacos, Eduard / Eixarch, Elisenda / Ceresa, Mario / Ballester, Miguel A. Gonzalez et al. | 2019
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Cardiac Cine-MRI/CT Registration for Interventions PlanningCourtial, Nicolas / Simon, Antoine / Donal, Erwan / Lederlin, Mathieu / Garreau, Mireille et al. | 2019
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A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification DetectionLiu, Jiamin / Yao, Jianhua / Bagheri, Mohammadhadi / Sandfort, Veit / Summers, Ronald M. et al. | 2019
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APCP-NET: Aggregated Parallel Cross-Scale Pyramid Network for CMR SegmentationLi, Caizi / Tong, Qianqian / Liao, Xiangyun / Si, Weixin / Chen, Shu / Wang, Qiong / Yuan, Zhiyong et al. | 2019
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3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and ClassificationBao, Han / Ren, Hui / Zhou, Zhiling / Li, Xiang / Guo, Ning / Li, Quanzheng et al. | 2019
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Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer AggregationLi, Zhongyu / Lou, Yixuan / Yan, Zhennan / AlrAref, Subhi / Min, James K / Axel, Leon / Metaxas, Dimitris N. et al. | 2019
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Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural NetworksChina, Debarghya / Tom, Francis / Nandamuri, Sumanth / Kar, Aupendu / Srinivasan, Mukundhan / Mitra, Pabitra / Sheet, Debdoot et al. | 2019
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End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance ImagingSnaauw, Gerard / Gong, Dong / Maicas, Gabriel / Hengel, Anton van den / Niessen, Wiro J. / Verjans, Johan / Carneiro, Gustavo et al. | 2019
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Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple DatabasesTouvron, Hugo / Faisan, Sylvain / Tilquin, Florian / Noblet, Vincent et al. | 2019
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Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTMMen, Shaoyang / Ju, Hanqiu / Zhang, Lijuan / Zhou, Wu et al. | 2019
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What And How Other Datasets Can Be Leveraged For Medical Imaging ClassificationShang, Hong / Sun, Zhongqian / Fu, Xinghui / Zhang, Zijian / Yang, Wei et al. | 2019
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Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN ApproachPemasiri, Akila / Ahmedt-Aristizabal, David / Nguyen, Kien / Sridharan, Sridha / Dionisio, Sasha / Fookes, Clinton et al. | 2019
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Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode UltrasoundPhilip, Manna E. / Sowmya, Arcot / Avnet, Hagai / Ferreira, Ana / Stevenson, Gordon / Welsh, Alec et al. | 2019
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Segmenting The Kidney On CT Scans Via CrowdsourcingMehta, Paras / Sandfort, Veit / Gheysens, Daan / Braeckevelt, Gert-Jan / Berte, Jonathan / Summers, Ronald M. et al. | 2019
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Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example MiningTang, You-Bao / Yan, Ke / Tang, Yu-Xing / Liu, Jiamin / Xiao, Jin / Summers, Ronald M. et al. | 2019
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Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional NetworksZhao, Xuandong / Li, Xiang / Guo, Ning / Zhou, Zhiling / Meng, Xiaxia / Li, Quanzheng et al. | 2019
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Deep Learning For Skin Cancer Diagnosis With Hierarchical ArchitecturesBarata, Catarina / Marques, Jorge S. et al. | 2019
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Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal CancerLi, Hongming / Boimel, Pamela / Janopaul-Naylor, James / Zhong, Haoyu / Xiao, Ying / Ben-Josef, Edgar / Fan, Yong et al. | 2019
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Building A Reduced Dictionary Of Relevant Perfusion Patterns From Ceus Data For The Classification Of Testis LesionsFavaron, Tommaso / Huang, Dean Y. / Christensen-Jeffries, Kirsten / Eckersley, Robert E. / Sidhu, Paul S. / Grisan, Enrico et al. | 2019
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Detecting Prostate Cancer Using A CNN-Based System Without SegmentationReda, Islam / Ghazal, Mohammed / Shalaby, Ahmed / Elmogy, Mohammed / Aboulfotouh, Ahmed / El-Ghar, Mohamed Abou / Elmaghraby, Adel / Keynton, Robert / El-Baz, Ayman et al. | 2019
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An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive ReductionTang, Hao / Liu, Xingwei / Xie, Xiaohui et al. | 2019
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Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-RaysSyeda-Mahmood, T. / Ahmad, H. / Ansari, N. / Gur, Y. / Kashyap, S. / Karargyris, A. / Moradi, M. / Pillai, A. / Seshadhri, K. / Wang, W. et al. | 2019
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CephaNet: An Improved Faster R-CNN for Cephalometric Landmark DetectionQian, Jiahong / Cheng, Ming / Tao, Yubo / Lin, Jun / Lin, Hai et al. | 2019
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Volume R-CNN: Unified Framework for CT Object Detection and Instance SegmentationChen, Yun / Chen, Junxuan / Xiao, Bo / Wu, Zhengfang / Chi, Ying / Xie, Xuansong / Hua, Xiansheng et al. | 2019
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Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight ModifiersKarargyris, Alexandros / Wong, Ken C. L. / Wu, Joy T. / Moradi, Mehdi / Syeda-Mahmood, Tanveer et al. | 2019
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A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the BrainMartins, Samuel B. / Ruppert, Guilherme / Reis, Fabiano / Yasuda, Clarissa L. / Falcao, Alexandre X. et al. | 2019
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A New Color Augmentation Method for Deep Learning Segmentation of Histological ImagesXiao, Yang / Decenciere, Etienne / Velasco-Forero, Santiago / Burdin, Helene / Bornschlogl, Thomas / Bernerd, Francoise / Warrick, Emilie / Baldeweck, Therese et al. | 2019
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Deconvolving Convolutional Neural Network for Cell DetectionRaza, Shan E Ahmed / AbdulJabbar, Khalid / Jamal-Hanjani, Mariam / Veeriah, Selvaraju / Quesne, John Le / Swanton, Charles / Yuan, Yinyin et al. | 2019
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Statistical Local Binary Patterns (SLBP): Application To Prostate Cancer Gleason Score Prediction From whole Slide Pathology ImagesXu, Hongming / Hwang, Tae Hyun et al. | 2019
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Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology ImagesQu, Hui / Riedlinger, Gregory / Wu, Pengxiang / Huang, Qiaoying / Yi, Jingru / De, Subhajyoti / Metaxas, Dimitris et al. | 2019
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Strategies for Training Stain Invariant CNNSLampert, Thomas / Merveille, Odyssee / Schmitz, Jessica / Forestier, Germain / Feuerhake, Friedrich / Wemmert, Cedric et al. | 2019
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Learning Basal Cell Carcinoma Patterns by Fusing Pathologists’ WSI Navigations and Graph-Based Centrality FeaturesCorredor, German / Garcia-Arteaga, Juan D. / Arias, Viviana / Romero, Eduardo et al. | 2019
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Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer ClassificationXu, Bolei / Liu, Jingxin / Hou, Xianxu / Liu, Bozhi / Garibaldi, Jon / Ellis, Ian O. / Green, Andy / Shen, Linlin / Qiu, Guoping et al. | 2019
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Efficient Mitosis Detection in Breast Cancer Histology Images by RCNNCai, De / Sun, Xianhe / Zhou, Niyun / Han, Xiao / Yao, Jianhua et al. | 2019
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Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason GradingArvidsson, Ida / Overgaard, Niels Christian / Astrom, Kalle / Heyden, Anders et al. | 2019
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Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation ModelsAli, Sharib / Alham, Nasullah Khalid / Verrill, Clare / Rittscher, Jens et al. | 2019
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Predicting Residual Cancer Burden In A Triple Negative Breast Cancer CohortNaylor, Peter / Boyd, Joseph / Lae, Marick / Reyal, Fabien / Walter, Thomas et al. | 2019
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Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry ImagesAbreu, A. / Franchet, C. / Frenois, F-X. / Brousset, P. / Girard P. Denefle, J.P. / Denefle, P. / Naegel, B. / Wemmert, C. et al. | 2019
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Cell Detection With Deep Convolutional Networks Trained With Minimal AnnotationsLomanov, Katerina / Rincon, Jesus Martinez del / Miller, Paul / Gribben, Hugh et al. | 2019
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Towards the Identification of Histology Based Subtypes in Prostate CancerChatrian, Andrea / Sirinukunwattana, Korsuk / Verrill, Clare / Rittscher, Jens et al. | 2019
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Staingan: Stain Style Transfer for Digital Histological ImagesShaban, M. Tarek / Baur, Christoph / Navab, Nassir / Albarqouni, Shadi et al. | 2019
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Transfer Learning from Nucleus Detection to Classification in Histopathology ImagesYousefi, Safoora / Nie, Yao et al. | 2019
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Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound ScansSharma, H. / Droste, R. / Chatelain, P. / Drukker, L. / Papageorghiou, A.T. / Noble, J.A. et al. | 2019
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Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRIPham, C.-H. / Tor-Diez, C. / Meunier, H. / Bednarek, N. / Fablet, R. / Passat, N. / Rousseau, F. et al. | 2019
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Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein DistanceChen, Zengsi / Wu, Zhengwang / Sun, Liang / Wang, Fan / Wang, Li / Zhao, Fenqiang / Lin, Weili / Gilmore, John H / Shen, Dinggang / Li, Gang et al. | 2019
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Frnet: Flattened Residual Network for Infant MRI Skull StrippingZhang, Qian / Wang, Li / Zong, Xiaopeng / Lin, Weili / Li, Gang / Shen, Dinggang et al. | 2019
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Implicit Modeling With Uncertainty Estimation For Intravoxel Incoherent Motion ImagingZhang, Lin / Vishnevskiy, Valery / Jakab, Andras / Goksel, Orcun et al. | 2019
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Microscopy Cell Segmentation Via Convolutional LSTM NetworksArbelle, Assaf / Raviv, Tammy Riklin et al. | 2019
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Deforming Tessellations For The Segmentation Of Cell AggregatesBadoual, Anais / Galan, Aymeric / Sage, Daniel / Unser, Michael et al. | 2019
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Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural NetworksBonheur, S. / Eldaly, A.K. / Westerfeld, J. / Wilson, D. / Dhaliwal, K. / McLaughlin, S. / Perperidis, A. et al. | 2019
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Spotnet-Learned Iterations For Cell Detection In Image-Based ImmunoassaysPla, Pol del Aguila / Saxena, Vidit / Jalden, Joakim et al. | 2019
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Context-Refined Neural Cell Instance SegmentationYi, Jingru / Wu, Pengxiang / Huang, Qiaoying / Qu, Hui / Hoeppner, Daniel J. / Metaxas, Dimitris N. et al. | 2019
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Learning Disease Progression Models With Longitudinal Data and Missing ValuesCouronne, Raphael / Vidailhet, Marie / Corvol, Jean Christophe / Lehericy, Stephane / Durrleman, Stanley et al. | 2019
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Unbiased Longitudinal Brain Atlas Creation Using Robust Linear Registration And Log-Euclidean Framework For DiffeomorphismsLegouhy, Antoine / Commowick, Olivier / Rousseau, Francois / Barillot, Christian et al. | 2019
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Generative Aging Of Brain MRI For Early Prediction Of MCI-AD ConversionWegmayr, Viktor / Horold, Maurice / Buhmann, Joachim M. et al. | 2019
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Attention-based 3D Convolutional Network for Alzheimer’s Disease Diagnosis and Biomarkers ExplorationJin, Dan / Xu, Jian / Zhao, Kun / Hu, Fangzhou / Yang, Zhengyi / Liu, Bing / Jiang, Tianzi / Liu, Yong et al. | 2019
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A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During InfancyLi, Guannan / Chen, Meng-Hsiang / Li, Gang / Wu, Di / Sun, Quansen / Shen, Dinggang / Wang, Li et al. | 2019
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Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRIMaicas, Gabriel / Snaauw, Gerard / Bradley, Andrew P. / Reid, Ian / Carneiro, Gustavo et al. | 2019
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Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in MammogramsSainz de Cea, Maria V. / Nishikawa, Robert M. / Yang, Yongyi et al. | 2019
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A Mixture of Views Network With Applications to the Classification of Breast MicrocalcificationsShachor, Yaniv / Greenspan, Hayit / Goldberger, Jacob et al. | 2019
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Analysis of Cedbt and CESM Performance Using a Realistic X-Ray Simulation PlatformRosa, R. Sanchez de la / Carton, A.-K. / Carvalho, P. Milioni de / Bloch, I. / Muller, S. et al. | 2019
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Registration of Breast MRI and 3D Scan Data Based on Surface MatchingBessa, Silvia / Carvalho, Pedro H. / Oliveira, Helder P. et al. | 2019
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AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound ImagesLi, Hang / Cheng, Jie-Zhi / Chou, Yi-Hong / Qin, Jing / Huang, Shan / Lei, Baiying et al. | 2019
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Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery OutcomesSilva, Wilson / Castro, Eduardo / Cardoso, Maria J. / Fitzal, Florian / Cardoso, Jaime S. et al. | 2019
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Breast Density Quantification Using Weakly Annotated DatasetTardy, Mickael / Scheffer, Bruno / Mateus, Diana et al. | 2019
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Multi-Level Batch Normalization in Deep Networks for Invasive Ductal Carcinoma Cell Discrimination in Histopathology ImagesRomero, Francisco Perdigon / Tang, An / Kadoury, Samuel et al. | 2019
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Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial LearningGe, Yunhao / Wei, Dongming / Xue, Zhong / Wang, Qian / Zhou, Xiang / Zhan, Yiqiang / Liao, Shu et al. | 2019
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Improving Skin Lesion Segmentation via Stacked Adversarial LearningBi, Lei / Feng, Dagan / Fulham, Michael / Kim, Jinman et al. | 2019
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Refacing: Reconstructing Anonymized Facial Features Using GANSAbramian, David / Eklund, Anders et al. | 2019
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Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based MethodsLargent, Axel / Nunes, Jean-Claude / Saint-Jalmes, Herve / Baxter, John / Greer, Peter / Dowling, Jason / Crevoisier, Renaud de / Acosta, Oscar et al. | 2019
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Radiomic Synthesis Using Deep Convolutional Neural NetworksParekh, Vishwa S. / Jacobs, Michael A. et al. | 2019
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Multi-Focus Ultrasound Imaging Using Generative Adversarial NetworksGoudarzi, Sobhan / Asif, Amir / Rivaz, Hassan et al. | 2019
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Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FcnYang, Hongxu / Shan, Caifeng / Kolen, Alexander F. / Peter H.N., de With et al. | 2019
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Deep Learning Biopsy Marking of Early Neoplasia in Barrett’s Esophagus by Combining WLE and BLI ModalitiesPutten, Joost van der / Wildeboer, Rogier / Groof, Jeroen de / Sloun, Ruud van / Struyvenberg, Maarten / Sommen, Fons van der / Zinger, Svitlana / Curvers, Wouter / Schoon, Erik / Bergman, Jacques et al. | 2019
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Fast Registration for Liver Motion Compensation in Ultrasound-Guided NavigationWei, Wei / Xu, Haishan / Alpers, Julian / Tianbao, Zhang / Wang, Lei / Rak, Marko / Hansen, Christian et al. | 2019
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Simulation of a Modified Multielement Random Phased Array for Image Guidance and TherapyZubair, Muhammad / Dickinson, Robert J. et al. | 2019
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A Deep-Learning-Based Method for the Localization of Cochlear Implant Electrodes in CT ImagesChi, Yujie / Wang, Jianing / Zhao, Yiyuan / Noble, Jack H. / Dawant, Benoit M. et al. | 2019
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Surgical Illuminant Design for Enhancement of Organ MicrostructureKurabuchi, Yoko / Nakano, Kazuya / Ohnishi, Takashi / Nakaguchi, Toshiya / Haneishi, Hideaki et al. | 2019
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Prone to Supine Surface Based Registration Workflow for Breast Tumor Localization in Surgical PlanningAlfano, F. / Ortuno Fisac, JE. / Garcia-Sevilla, Monica / Herrero Conde, M. / Bueno Zamora, O. / Lizarraga, S. / Santos, A. / Pascau, J. / Ledesma Carbayo, MJ. et al. | 2019
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Automatic Detection of the Nasal Cavities and Paranasal Sinuses Using Deep Neural NetworksLaura, Cristina Oyarzun / Hofmann, Patrick / Drechsler, Klaus / Wesarg, Stefan et al. | 2019
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Residual Attention Based Network for Hand Bone Age AssessmentWu, Eric / Kong, Bin / Wang, Xin / Bai, Junjie / Lu, Yi / Gao, Feng / Zhang, Shaoting / Cao, Kunlin / Song, Qi / Lyu, Siwei et al. | 2019
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A Fully Automatic 3D Reconstruction of Scoliotic Spine from Biplanar Radiographs in a Suspension FrameworkBakhous, Christine / Vazquez, Carlos / Cresson, Thierry / Parent, Stefan / Guise, Jacques De et al. | 2019
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Deep Learning With Anatomical Priors: Imitating Enhanced Autoencoders In Latent Space For Improved Pelvic Bone Segmentation In MRIPham, D. D. / Dovletov, G. / Warwas, S. / Landgraeber, S. / Jager, M. / Pauli, J. et al. | 2019
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Human Knee Phantom for Spectral CT: Validation of a Material Decomposition AlgorithmBussod, S. / Abascal, J.F.P.J. / Ducros, N. / Olivier, C. / Si-Mohamed, S. / Douek, P. / Chappard, C. / Peyrin, F. et al. | 2019
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Detection And Identification Of Lower-Limb Bones In Biplanar X-RAY Images With Arbitrary Field Of View And Various Patient OrientationsAgomma, Roseline Olory / Vazquez, Carlos / Cresson, Thierry / Guise, Jacques de et al. | 2019
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End-To-End Vertebra Localization and Level Detection in Weakly Labelled 3D Spinal Mr using Cascaded Neural Networksvan Sonsbeek, Tom / Danaei, Pardiss / Behnami, Delaram / Jafari, Mohammad Hossein / Asgharzadeh, Parisa / Rohling, Robert / Abolmaesumi, Purang et al. | 2019
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Automatic Radiographic Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis Using POCOu, Yafei / Ambalathankandy, Prasoon / Shimada, Takeshi / Kamishima, Tamotsu / Ikebe, Masayuki et al. | 2019
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Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial NetworkZhang, Yungeng / Pei, Yuru / Qin, Haifang / Guo, Yuke / Ma, Gengyu / Xu, Tianmin / Zha, Hongbin et al. | 2019
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Region Proposal Networks with Contextual Selective Attention for Real-Time Organ DetectionMansoor, Awais / Porras, Antonio R. / Linguraru, Marius George et al. | 2019
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Image-Based Survival Prediction for Lung Cancer Patients Using CNNSHaarburger, Christoph / Weitz, Philippe / Rippel, Oliver / Merhof, Dorit et al. | 2019
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Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-TruthSousa, Patrick / Galdran, Adrian / Costa, Pedro / Campilho, Aurelio et al. | 2019
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Pulmonary Lobe Segmentation Using A Sequence of Convolutional Neural Networks For Marginal LearningGerard, Sarah E. / Reinhardt, Joseph M. et al. | 2019
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Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd StudyGan, Yu / Yang, Jie / Smith, Benjamin / Balte, Pallavi / Hoffman, Eric / Hendon, Christine / Barr, R. Graham / Laine, Andrew F. / Angelini, Elsa D. et al. | 2019
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Data Augmentation for Chest Pathologies ClassificationSirazitdinov, Ilyas / Kholiavchenko, Maksym / Kuleev, Ramil / Ibragimov, Bulat et al. | 2019
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Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct DataSafta, Wiem / Farhangi, M. Mehdi / Veasey, Benjamin / Amini, Amir / Frigui, Hichem et al. | 2019
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Automatic Pulmonary Lobe Segmentation Using Deep LearningTang, Hao / Zhang, Chupeng / Xie, Xiaohui et al. | 2019
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Regression of The Navier-Stokes Equation Solutions For Pulmonary Airway Flow Using Neural NetworksArauzo, D. de los Ojos / Nardelli, P. / Estepar, R. San Jose et al. | 2019
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Intelligent Glaucoma Diagnosis Via Active Learning And Adversarial Data AugmentationWang, Zhanyu / Wang, Zhe / Qu, Guoxiang / Li, Fei / Yuan, Ye / Lam, Dennis SC / Zhang, Xiulan / Zhang, Yue / Qiao, Yu et al. | 2019
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Lesion Classification of Wireless Capsule Endoscopy ImagesYang, Wenming / Cao, Yaxing / Zhao, Qian / Ren, Yong / Liao, Qingmin et al. | 2019
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End-To-End Discriminative Deep Network For Liver Lesion ClassificationRomero, Francisco Perdigon / Diler, Andre / Bisson-Gregoire, Gabriel / Turcotte, Simon / Lapointe, Real / Vandenbroucke-Menu, Franck / Tang, An / Kadoury, Samuel et al. | 2019
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Dual Adversarial Autoencoder for Dermoscopic image Generative ModelingYang, Hao-Yu / Staib, Lawrence H. et al. | 2019
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Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled DataTajbakhsh, Nima / Hu, Yufei / Cao, Junli / Yan, Xingjian / Xiao, Yi / Lu, Yong / Liang, Jianming / Terzopoulos, Demetri / Ding, Xiaowei et al. | 2019
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A Dual Stream Network for Tumor Detection in Hyperspectral ImagesWeijtmans, P.J.C. / Shan, C. / Tan, T. / Brouwer de Koning, S.G. / Ruers, T.J.M. et al. | 2019
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Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical ImagesShaikh, Mazhar / Kollerathu, Varghese Alex / Krishnamurthi, Ganapathy et al. | 2019
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ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection FrameworkYao, Dongren / Sun, Hailun / Guo, Xiaojie / Calhoun, Vince D / Sun, Li / Sui, Jing et al. | 2019
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Exploiting Visual and Report-Based Information for Chest X-RAY Analysis by Jointly Learning Visual Classifiers and Topic ModelsDaniels, Zachary A. / Metaxas, Dimitris N. et al. | 2019
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Producing Radiologist-Quality Reports for Interpretable Deep Learning.Gale, William / Oakden-Rayner, Luke / Carneiro, Gustavo / Palmer, Lyle J. / Bradley, Andrew P. et al. | 2019
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Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion ClassificationXue, Cheng / Dou, Qi / Shi, Xueying / Chen, Hao / Heng, Pheng-Ann et al. | 2019
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Saliency-Driven System With Deep Learning for Cell Image ClassificationFerreira, Daniel S. / Geraldo L. B., Ramalho / Fatima N. S., Medeiros / Andrea G. C., Bianchi / Carneiro, Claudia M. / Ushizima, Daniela M. et al. | 2019
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Towards an Interpretable Radiomics Model for Classifying Renal Cell Carcinomas Subtypes: A Radiogenomics AssessmentLi, Zhi-Cheng / Wu, Guang-yu / Zhang, Jinheng / Wang, Zhongqiu / Liu, Guiqin / Liang, Dong et al. | 2019
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Radiomic-Based Framework for Early Diagnosis of Lung CancerShaffie, Ahmed / Soliman, Ahmed / Khalifeh, Hadil Abu / Ghazal, Mohammed / Taher, Fatma / Elmaghraby, Adel / Keynton, Robert / El-Baz, Ayman et al. | 2019
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Deep Metamemory - A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth PredictionKatzmann, Alexander / Muhlberg, Alexander / Suhling, Michael / Norenberg, Dominik / Gros, Horst-Michael et al. | 2019
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Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer PatientsLiu, Hangfan / Li, Hongming / Boimel, Pamela / Janopaul-Naylor, James / Zhong, Haoyu / Xiao, Ying / Ben-Josef, Edgar / Fan, Yong et al. | 2019
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Tumor Burden Assessment In Lymphoma Patients: Hierarchical Analysis Of Whole Body CTBolluyt, Elijah / Comaniciu, Alexandra / Georgescu, Bogdan et al. | 2019
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Novel Radiomic Features Based on Graph Theory for PET Image AnalysisZhou, Zhiling / Guo, Ning / Cui, Jianan / Meng, Xiaxia / Hu, Yiwei / Bao, Han / Li, Xiang / Li, Quanzheng et al. | 2019
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CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman IterationGehlot, Shiv / Farswan, Akanksha / Gupta, Anubha / Gupta, Ritu et al. | 2019
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Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics ApproachT, Jose M. Castillo / Starmans, Martijn P. A. / Niessen, Wiro J. / Schoots, Ivo / Klein, Stefan / Veenland, Jifke F. et al. | 2019
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Class-Aware Adversarial Lung Nodule Synthesis In CT ImagesYang, Jie / Liu, Siqi / Grbic, Sasa / Setio, Arnaud Arindra Adiyoso / Xu, Zhoubing / Gibson, Eli / Chabin, Guillaume / Georgescu, Bogdan / Laine, Andrew F. / Comaniciu, Dorin et al. | 2019
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Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural NetworksWang, Wenjia / Chen, Junxuan / Zhao, Jie / Chi, Ying / Xie, Xuansong / Zhang, Li / Hua, Xiansheng et al. | 2019
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Abnormal Chest X-Ray Identification With Generative Adversarial One-Class ClassifierTang, Yu-Xing / Tang, You-Bao / Han, Mei / Xiao, Jing / Summers, Ronald M. et al. | 2019
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When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification?Baltruschat, Ivo M. / Steinmeister, Leonhard / Ittrich, Harald / Adam, Gerhard / Nickisch, Hannes / Saalbach, Axel / von Berg, Jens / Grass, Michael / Knopp, Tobias et al. | 2019
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Biphasic Model Of Lung Deformations For Video-Assisted Thoracoscopic Surgery (VATS)Alvarez, Pablo / Narasimhan, Saramati / Rouze, Simon / Dillenseger, Jean-Louis / Payan, Yohan / Miga, Michael I. / Chabanas, Matthieu et al. | 2019
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Robust Super-Resolution Gan, with Manifold-Based and Perception LossUpadhyay, Uddeshya / Awate, Suyash P. et al. | 2019
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New Methods for l2-l0 Minimization and their Applications to 2D Single-Molecule Localization MicroscopyBechensteen, Arne / Blanc-Feraud, Laure / Aubert, Gilles et al. | 2019
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Multi-Spectral Widefield Microscopy of the Beating Heart Through Post-Acquisition Synchronization and UnmixingJaques, Christian / Bapst-Wicht, Linda / Schorderet, Daniel F. / Liebling, Michael et al. | 2019
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A Deep Learning Approach To Identify MRNA Localization PatternsDubois, Remy / Imbert, Arthur / Samacoits, Aubin / Peter, Marion / Bertrand, Edouard / Muller, Florian / Walter, Thomas et al. | 2019
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Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super ResolutionTom, Francis / Sharma, Himanshu / Mundhra, Dheeraj / Dastidar, Tathagato Rai / Sheet, Debdoot et al. | 2019
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Off-The-Grid Model Based Deep Learning (O-Modl)Pramanik, Aniket / Aggarwal, Hemant / Jacob, Mathews et al. | 2019
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The Continuous Registration Challenge: Evaluation-as-a-Service for Medical Image Registration AlgorithmsMarstal, K. / Berendsen, F. / Dekker, N. / Staring, M. / Klein, S. et al. | 2019
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Network Regularization in Imaging Genetics Improves Prediction Performances and Model Interpretability on Alzheimer’s DiseaseGuigui, N. / Philippe, C. / Gloaguen, A. / Karkar, S. / Guillemot, V. / Lofstedt, T. / Frouin, V. et al. | 2019
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A Multi-Stage Framework With Context Information Fusion Structure For Skin Lesion SegmentationTang, Yujiao / Yang, Feng / Yuan, Shaofeng / Zhan, Chang'an et al. | 2019
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Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic ImageKikkawa, Ryo / Sekiguchi, Hiroyuki / Tsuge, Itaru / Saito, Susumu / Bise, Ryoma et al. | 2019
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Tele-Pathology: A Use Case In ColombiaAlvarez, Charlems / Corredor, German / Giraldo, Diana / Romero, Eduardo et al. | 2019
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Pixel Reconstruction For Speckle Reduction In 3D Optical Coherence Tomography Of RetinaCheng, Jun / Zhao, Yitian / Hu, Yan / Liu, Jiang et al. | 2019
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Motion Compensation In Digital Holography For Retinal ImagingRivet, Julie / Tochon, Guillaume / Meimon, Serge / Paques, Michel / Geraud, Thierry / Atlan, Michael et al. | 2019
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Learning To Segment Corneal Tissue Interfaces In Oct ImagesMathai, Tejas Sudharshan / Lathrop, Kira L / Galeotti, John et al. | 2019
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Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural NetworksKepp, Timo / Ehrhardt, Jan / Heinrich, Mattias P. / Huttmann, Gereon / Handels, Heinz et al. | 2019
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U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT ScansOrlando, Jose Ignacio / Seebock, Philipp / Bogunovic, Hrvoje / Klimscha, Sophie / Grechenig, Christoph / Waldstein, Sebastian / Gerendas, Bianca S. / Schmidt-Erfurth, Ursula et al. | 2019
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Sparse-View Ct Reconstruction Via Convolutional Sparse CodingBao, Peng / Xia, Wenjun / Yang, Kang / Zhou, Jiliu / Zhang, Yi et al. | 2019
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A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis ReconstructionSghaier, Maissa / Chouzenoux, Emilie / Palma, Giovanni / Pesquet, Jean-Christophe / Muller, Serge et al. | 2019
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A Convolutional Framework for Forward and Back-Projection in Fan-Beam GeometryZhang, Kai / Entezari, Alireza et al. | 2019
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Spectral Ct Reconstruction Via Self-Similarity In Image-Spectral TensorsXia, Wenjun / Wu, Weiwen / Liu, Fenglin / Yu, Hengyong / Zhou, Jiliu / Wang, Ge / Zhang, Yi et al. | 2019
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Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah FunctionalHe, Di / Jiang, Ming / Louis, Alfred K. / Maass, Peter / Page, Thomas et al. | 2019
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Asymmetric Fiber Trajectory Distribution Estimated Using Streamline Differential EquationHe, Jianzhong / Feng, Yuanjing / Li, Mao et al. | 2019
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Comparison of Different Tensor Encoding Combinations in Microstructural Parameter EstimationAfzali, Maryam / Tax, Chantal MW / Chatziantoniou, Cyrano / Jones, Derek K et al. | 2019
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Cobundlemap: Consistent 2D Parameterization of Fiber Bundles Across Subjects and HemispheresKhatami, Mohammad / Wehler, Regina / Schultz, Thomas et al. | 2019
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Cortical Surface Parcellation Based on Graph Representation of Short Fiber Bundle ConnectionsSilva, Felipe / Guevara, Miguel / Poupon, Cyril / Mangin, Jean-Francois / Hernandez, Cecilia / Guevara, Pamela et al. | 2019
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Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block ModelSamdin, S. Balqis / Ting, Chee-Ming / Ombao, Hernando et al. | 2019
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Acceleration Controlled Diffeomorphisms For Nonparametric Image RegressionFishbaugh, James / Gerig, Guido et al. | 2019
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Gems - Geometric Median ShapesCunha, Alexandre et al. | 2019
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Sensitivity Analysis Of An In Silico Model Of Tumor Growth And Radiation ResponseMarrero, C. Sosa / Acosta, O. / Castro, M. / Hernandez, A. / Rioux-Leclercq, N. / Paris, F. / de Crevoisier, R. et al. | 2019
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Hierarchical Representation For Ct Prostate SegmentationWang, Shuai / He, Kelei / Nie, Dong / Zhou, Sihang / Gao, Yaozong / Shen, Dinggang et al. | 2019
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Multi-Modal Fusion Learning For Cervical Dysplasia DiagnosisChen, Tingting / Ma, Xinjun / Ying, Xingde / Wang, Wenzhe / Yuan, Chunnv / Lu, Weiguo / Chen, Danny Z. / Wu, Jian et al. | 2019
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Segmentation And Modelling of Helanuclear EnvelopeKarabag, C. / Jones, M.L. / Peddie, C.J. / Westor, A.E. / Collinson, L.M. / Reyes-Aldasoro, C.C. et al. | 2019
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Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble ModelZhao, Jie / Li, Quanzheng / Li, Xiang / Li, Hongfeng / ZhangS, Li et al. | 2019
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Domain Adaptive Segmentation In Volume Electron Microscopy ImagingRoels, Joris / Hennies, Julian / Saeys, Yvan / Philips, Wilfried / Kreshuk, Anna et al. | 2019
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Facilitating Data Association In Particle Tracking Using Autoencoding And Score MatchingSmal, Ihor / Yao, Yao / Galjart, Niels / Meijering, Erik et al. | 2019
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Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning ApproachSong, Tzu-Hsi / Landini, Gabriel / Fouad, Shereen / Mehanna, Hisham et al. | 2019
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Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRIGueddari, L. El / Ciuciu, P. / Chouzenoux, E. / Vignaud, A. / Pesquet, J.-C. et al. | 2019
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Magnetic Resonance Fingerprinting Using Recurrent Neural NetworksOksuz, Ilkay / Cruz, Gastao / Clough, James / Bustin, Aurelien / Fuin, Nicolo / Botnar, Rene M. / Prieto, Claudia / King, Andrew P. / Schnabel, Julia A. et al. | 2019
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Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels)Aggarwal, Hemant K. / Mani, Merry P. / Jacob, Mathews et al. | 2019
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Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging DataBolton, Thomas AW / Farouj, Younes / Inan, Mert / Van De Ville, Dimitri et al. | 2019
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Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using GansArmanious, Karim / Gatidis, Sergios / Nikolaou, Konstantin / Yang, Bin / Kustner, Thomas et al. | 2019
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Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder DiagnosisHuang, Fanglin / Elazab, Ahmed / OuYang, Le / Tan, Joseph / Wang, Tianfu / Lei, Baiying et al. | 2019
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A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain StructuresYu, Evan M. / Sabuncu, Mert R. et al. | 2019
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Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion SegmentationKats, Eytan / Goldberger, Jacob / Greenspan, Hayit et al. | 2019
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Improved ICH Classification Using Task-Dependent LearningBar, Amir / Havakuk, Michal Mauda / Turner, Yoni / Safadi, Michal / Elnekave, Eldad et al. | 2019
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Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian PatientsRamirez, Veronica Munoz / Forbes, Florence / Arbel, Julyan / Arnaud, Alexis / Dojat, Michel et al. | 2019
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Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network ModelingZhao, Yu / Dai, Haixing / Zhang, Wei / Ge, Fangfei / Liu, Tianming et al. | 2019
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Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software VersionsNguyen, Kevin P. / Fatt, Cherise Chin / Mellema, Cooper / Trivedi, Madhukar H. / Montillo, Albert et al. | 2019
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Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral CortexGe, Fangfei / Zhang, Shu / Huang, Heng / Jiang, Xi / Dong, Qinglin / Guo, Lei / Wang, Xianqiao / Liu, Tianming et al. | 2019
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A Task Performance-guided Model of Functional Networks IdentificationZhao, Lin / Liu, Huan / Jiang, Xi / Zhao, Shijie / He, Zhibin / Liu, Tianming / Guo, Lei / Zhang, Tuo et al. | 2019
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A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRIZhang, Yin / Hu, Xintao / He, Chunlin / Wang, Xiangning / Ren, Yudan / Liu, Huan / Wang, Liting / Guo, Lei / Liu, Tianming et al. | 2019
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Graph Convolutional Network Analysis for Mild Cognitive Impairment PredictionZhao, Xin / Zhou, Feng / Ou-Yang, Le / Wang, Tianfu / Lei, Baiying et al. | 2019
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Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI DataSaha, Debbrata K. / Abrol, Anees / Damaraju, Eswar / Rashid, Barnaly / Plis, Sergey M. / Calhoun, Vince D. et al. | 2019
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Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed TractographyHernandez-Gutierrez, Erick / Ramirez-Manzanares, Alonso / Marroquin, Jose L. / Ocampo-Pineda, Mario / Daducci, Alessandro et al. | 2019
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A comparison between image and signal sharpness-based axial localization of ultrasound scatterersDiamantis, Konstantinos / Dalgarno, Paul A. / Anderson, Tom / Jensen, JOrgen Arendt / Sboros, Vassilis et al. | 2019
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Regularisation With a Dictionary of Lines for Medical Ultrasound Image DeconvolutionAnantrasirichai, Nantheera / Allinovi, Marco / Hayes, Wesley / Bull, David / Achim, Alin et al. | 2019
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Hybrid-Loss Guided 3D CNN For Dynamic Dual-Tracer PET ReconstructionXu, Jinmin / Liu, Huafeng et al. | 2019
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MRI Reconstruction Via Cascaded Channel-Wise Attention NetworkHuang, Qiaoying / Yang, Dong / Wu, Pengxiang / Qu, Hui / Yi, Jingru / Metaxas, Dimitris et al. | 2019
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Elastic Net Regularization in Diffuse Optical Tomography ApplicationsCausin, P. / Naldi, G. / Weishaeupl, R.M. et al. | 2019
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Edge-Guided Semi-Coupled Dictionary Learning Super Resolution for Retina ImageWang, Weifang / Dong, Jiwen / Niu, Sijie / Chen, Yuehui et al. | 2019
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Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT DenoisingGreen, Michael / Marom, Edith M. / Konen, Eli / Kiryati, Nahum / Mayer, Arnaldo et al. | 2019
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Spatially Varying Monte Carlo Sure for the Regularization of Biomedical ImagesPizzolato, Marco / Deriche, Rachid / Canales-Rodriguez, Erick Jorge / Thiran, Jean-Philippe et al. | 2019
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3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational AutoencodersBiffi, Carlo / Cerrolaza, Juan J. / Tarroni, Giacomo / de Marvao, Antonio / Cook, Stuart A. / O'Regan, Declan P. / Rueckert, Daniel et al. | 2019
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Using Virtual Digital Breast Tomosynthesis for De-Noising of Low-Dose Projection ImagesSahu, Pranjal / Huang, Hailiang / Zhao, Wei / Qin, Hong et al. | 2019
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Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging: Performance AssessmentAlimi, A. / Deslauriers-Gauthier, S. / Matuschke, F. / Schmitz, D. / Axer, M. / Deriche, R. et al. | 2019
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Fast Calculation Method of Average G-Factor for Wave-CAIPI ImagingWang, Haifeng / Qiu, Zhilang / Su, Shi / Ying, Leslie / Liang, Dong et al. | 2019
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Sparse Tensor Constrained for Low Dose CT ReconstructionKang, Yanqin / Liu, Jin / Gu, Yunbo / Chen, Yang et al. | 2019
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Sparse-View CT Reconstruction Based on Mojette Transfrom Using Convolutional Neural NetworkQu, Zhiping / Jiang, Min / Sun, Yi et al. | 2019
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How Can We Make Gan Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale ApproachZhu, Jin / Yang, Guang / Lio, Pietro et al. | 2019
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Scatgan for Reconstruction of Ultrasound Scatterers Using Generative Adversarial NetworksBahou, AndrawesAl / Tanner, Christine / Goksel, Orcun et al. | 2019
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A Comparative Study of CNN-Based Super-Resolution Methods in MRI ReconstructionZeng, Wei / Peng, Jie / Wang, Shanshan / Li, Zhicheng / Liu, Qiegen / Liang, Dong et al. | 2019
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2D Elasticity Reconstruction With Bi-Convex Alternating Direction Method of MultipliersMohammed, Shahed / Honarvar, Mohammad / Kozlowski, Piotr / Salcudean, Septimiu et al. | 2019
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Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial NetworksSood, Rewa / Rusu, Mirabela et al. | 2019
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Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity RegularizationHosseini, Seyed Amir Hossein / Moeller, Steen / Weingartner, Sebastian / Ugurbil, Kamil / Akcakaya, Mehmet et al. | 2019
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Geometric Evaluation of Distortion Correction Methods in Diffusion MRI of the Spinal CordSnoussi, Haykel / Caruyer, Emmanuel / Cohen-Adad, Julien / Commowick, Olivier / Combes, Benoit / Bannier, Elise / Kerbrat, Anne / Barillot, Christian et al. | 2019
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Nonlocal Weighted Nuclear Norm Minimization based Sparse-Sampling CT Image ReconstructionYang, Kang / Xia, Wenjun / Bao, Peng / Zhou, Jiliu / Zhang, Yi et al. | 2019
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Application of Time-Fractional Order Bloch Equation in Magnetic Resonance FingerprintingWang, Haifeng / Zou, Lixian / Ye, Huihui / Su, Shi / Chang, Yuchou / Liu, Xin / Liang, Dong et al. | 2019
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On Multifractal Tissue Characterization in Ultrasound ImagingVillain, Edouard / Wendt, Herwig / Basarab, Adrian / Kouame, Denis et al. | 2019
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Realistic Super-Resolution Image Analysis for State of the Art 2D Contrast Enhanced Ultrasound ImagingKanoulas, Evangelos / Butler, Mairead / Duncan, Colin W / Lu, Weiping / Sboros, Vassilis et al. | 2019
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Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of HydronephrosisTabrizi, Pooneh R. / Mansoor, Awais / Cerrolaza, Juan J. / Zember, Jonathan / Pohl, Hans G. / Jago, James / Linguraru, Marius George et al. | 2019
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Iteratively-Reweighted Beamforming For High-Resolution Ultrasound ImagingMahurkar, Amol G / Pokala, Praveenkumar / Seelamantula, Chandra Sekhar et al. | 2019
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Colormaps Of Computed Tomography Liver Perfusion Parameters Achieved Using Different Computing Methods MatchBevilacqua, Alessandro / Mottola, Margherita et al. | 2019
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Explore the Hierarchical Auditory Information Processing Via Deep Convolutional AutoencoderWang, Liting / Hu, Xintao / Liu, Huan / Huang, Heng / Guo, Lei / Liu, Tianming et al. | 2019
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Curve Fitting Criteria to Determine Arterial Input Function for MR Perfusion AnalysisHuang, Adam / Lee, Chung-Wei / Liu, Hon-Man et al. | 2019
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Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional NetworksBarman, Arko / Inam, Mehmet E. / Lee, Songmi / Savitz, Sean / Sheth, Sunil / Giancardo, Luca et al. | 2019
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Spherical U-Net For Infant Cortical Surface ParcellationZhao, Fenqiang / Xia, Shunren / Wu, Zhengwang / Wang, Li / Chen, Zengsi / Lin, Weili / Gilmore, John H / Shen, Dinggang / Li, Gang et al. | 2019
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Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank datasetLe Guen, Yann / Karkar, Slim / Grigis, Antoine / Philippe, Cathy / Mangin, Jean-Francois / Frouin, Vincent et al. | 2019
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Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional MriMellema, Cooper / Treacher, Alex / Nguyen, Kevin / Montillo, Albert et al. | 2019
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Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random FieldCao, Ruiming / Zhong, Xinran / Shakeri, Sepideh / Bajgiran, Amirhossein Mohammadian / Mirak, Sohrab Afshari / Enzmann, Dieter / Raman, Steven S. / Sung, Kyunghyun et al. | 2019
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Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural NetBakalo, Ran / Ben-Ari, Rami / Goldberger, Jacob et al. | 2019
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Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis ScreeningBurlina, P. / Joshi, N. / Billings, S. / Wang, I. J. / Albayda, J. et al. | 2019
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Unsupervised Deep Transfer Feature Learning for Medical Image ClassificationAhn, Euijoon / Kumar, Ashnil / Feng, Dagan / Fulham, Michael / Kim, Jinman et al. | 2019
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