PIANO: Perfusion Imaging via Advection-Diffusion (Englisch)
- Neue Suche nach: Liu, Peirong
- Neue Suche nach: Lee, Yueh Z.
- Neue Suche nach: Aylward, Stephen R.
- Neue Suche nach: Niethammer, Marc
- Neue Suche nach: Martel, Anne L.
- Weitere Informationen zu Martel, Anne L.:
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https://orcid.org/https://orcid.org/0000-0003-1375-5501
- Neue Suche nach: Abolmaesumi, Purang
- Weitere Informationen zu Abolmaesumi, Purang:
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https://orcid.org/https://orcid.org/0000-0002-7259-8609
- Neue Suche nach: Stoyanov, Danail
- Weitere Informationen zu Stoyanov, Danail:
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https://orcid.org/https://orcid.org/0000-0002-0980-3227
- Neue Suche nach: Mateus, Diana
- Weitere Informationen zu Mateus, Diana:
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https://orcid.org/https://orcid.org/0000-0002-2252-8717
- Neue Suche nach: Zuluaga, Maria A.
- Weitere Informationen zu Zuluaga, Maria A.:
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https://orcid.org/https://orcid.org/0000-0002-1147-766X
- Neue Suche nach: Zhou, S. Kevin
- Weitere Informationen zu Zhou, S. Kevin:
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https://orcid.org/https://orcid.org/0000-0002-6881-4444
- Neue Suche nach: Racoceanu, Daniel
- Weitere Informationen zu Racoceanu, Daniel:
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https://orcid.org/https://orcid.org/0000-0002-9416-1803
- Neue Suche nach: Joskowicz, Leo
- Weitere Informationen zu Joskowicz, Leo:
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https://orcid.org/https://orcid.org/0000-0002-3010-4770
- Neue Suche nach: Liu, Peirong
- Neue Suche nach: Lee, Yueh Z.
- Neue Suche nach: Aylward, Stephen R.
- Neue Suche nach: Niethammer, Marc
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII
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Kapitel: 67
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688-698
;
2020
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:PIANO: Perfusion Imaging via Advection-Diffusion
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Weitere Titelangaben:Lect.Notes Computer
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Beteiligte:Martel, Anne L. ( Herausgeber:in ) / Abolmaesumi, Purang ( Herausgeber:in ) / Stoyanov, Danail ( Herausgeber:in ) / Mateus, Diana ( Herausgeber:in ) / Zuluaga, Maria A. ( Herausgeber:in ) / Zhou, S. Kevin ( Herausgeber:in ) / Racoceanu, Daniel ( Herausgeber:in ) / Joskowicz, Leo ( Herausgeber:in ) / Liu, Peirong ( Autor:in ) / Lee, Yueh Z. ( Autor:in )
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Kongress:International Conference on Medical Image Computing and Computer-Assisted Intervention ; 2020 ; Lima, Peru
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Erschienen in:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII ; Kapitel: 67 ; 688-698Lecture Notes in Computer Science ; 12267 ; 688-698
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Verlag:
- Neue Suche nach: Springer International Publishing
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Erscheinungsort:Cham
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Erscheinungsdatum:29.09.2020
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Format / Umfang:11 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome FingerprintingHu, Dan / Wang, Fan / Zhang, Han / Wu, Zhengwang / Wang, Li / Lin, Weili / Li, Gang / Shen, Dinggang et al. | 2020
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Self-weighted Multi-task Learning for Subjective Cognitive Decline DiagnosisCheng, Nina / Frangi, Alejandro / Zhang, Zhi-Guo / Deng, Denao / Zhao, Lihua / Wang, Tianfu / Wei, Yichen / Yu, Bihan / Mai, Wei / Duan, Gaoxiong et al. | 2020
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Unified Brain Network with Functional and Structural DataYang, Jing / Zhu, Qi / Zhang, Rui / Huang, Jiashuang / Zhang, Daoqiang et al. | 2020
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Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain TemplatesGurbuz, Mustafa Burak / Rekik, Islem et al. | 2020
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Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas EstimationMhiri, Islem / Mahjoub, Mohamed Ali / Rekik, Islem et al. | 2020
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Partial Volume Segmentation of Brain MRI Scans of Any Resolution and ContrastBillot, Benjamin / Robinson, Eleanor / Dalca, Adrian V. / Iglesias, Juan Eugenio et al. | 2020
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BDB-Net: Boundary-Enhanced Dual Branch Network for Whole Brain SegmentationZhang, Yu / Liu, Bo / Wang, Yinuo / Gao, Zhengzhou / Bai, Xiangzhi / Zhou, Fugen et al. | 2020
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Brain Age Estimation from MRI Using a Two-Stage Cascade Network with Ranking LossLiu, Ziyang / Cheng, Jian / Zhu, Haogang / Zhang, Jicong / Liu, Tao et al. | 2020
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Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline DelineationWang, Shen / Liang, Kongming / Li, Yiming / Yu, Yizhou / Wang, Yizhou et al. | 2020
- 22
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Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic MappingTu, Yanshuai / Ta, Duyan / Lu, Zhong-Lin / Wang, Yalin et al. | 2020
- 23
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Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment DetectionYu, Shuangzhi / Wang, Shuqiang / Xiao, Xiaohua / Cao, Jiuwen / Yue, Guanghui / Liu, Dongdong / Wang, Tianfu / Xu, Yanwu / Lei, Baiying et al. | 2020
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Construction of Spatiotemporal Infant Cortical Surface Functional TemplatesHuang, Ying / Wang, Fan / Wu, Zhengwang / Chen, Zengsi / Zhang, Han / Wang, Li / Lin, Weili / Shen, Dinggang / Li, Gang et al. | 2020
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Tract Dictionary Learning for Fast and Robust Recognition of Fiber BundlesWu, Ye / Hong, Yoonmi / Ahmad, Sahar / Lin, Weili / Shen, Dinggang / Yap, Pew-Thian et al. | 2020
- 26
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Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber ContinuityWu, Ye / Hong, Yoonmi / Ahmad, Sahar / Chang, Wei-Tang / Lin, Weili / Shen, Dinggang / Yap, Pew-Thian et al. | 2020
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White Matter Tract Segmentation with Self-supervised LearningLu, Qi / Li, Yuxing / Ye, Chuyang et al. | 2020
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Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural NetworksChen, Geng / Hong, Yoonmi / Zhang, Yongqin / Kim, Jaeil / Huynh, Khoi Minh / Ma, Jiquan / Lin, Weili / Shen, Dinggang / Yap, Pew-Thian et al. | 2020
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Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep LearningAstolfi, Pietro / Verhagen, Ruben / Petit, Laurent / Olivetti, Emanuele / Masci, Jonathan / Boscaini, Davide / Avesani, Paolo et al. | 2020
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Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome ImagingQiao, Yuchuan / Shi, Yonggang et al. | 2020
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Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI AnalysisKim, Heejong / Hong, Sungmin / Styner, Martin / Piven, Joseph / Botteron, Kelly / Gerig, Guido et al. | 2020
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TRAKO: Efficient Transmission of Tractography Data for VisualizationHaehn, Daniel / Franke, Loraine / Zhang, Fan / Cetin-Karayumak, Suheyla / Pieper, Steve / O’Donnell, Lauren J. / Rathi, Yogesh et al. | 2020
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Characterizing Intra-soma Diffusion with Spherical Mean Spectrum ImagingHuynh, Khoi Minh / Wu, Ye / Thung, Kim-Han / Ahmad, Sahar / Taylor IV, Hoyt Patrick / Shen, Dinggang / Yap, Pew-Thian et al. | 2020
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Estimating Common Harmonic Waves of Brain Networks on Stiefel ManifoldChen, Jiazhou / Han, Guoqiang / Cai, Hongmin / Ma, Junbo / Kim, Minjeong / Laurienti, Paul / Wu, Guorong et al. | 2020
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Neural Architecture Search for Optimization of Spatial-Temporal Brain Network DecompositionLi, Qing / Zhang, Wei / Lv, Jinglei / Wu, Xia / Liu, Tianming et al. | 2020
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Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer’s Disease AnalysisMa, Junbo / Zhu, Xiaofeng / Yang, Defu / Chen, Jiazhou / Wu, Guorong et al. | 2020
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Enriched Representation Learning in Resting-State fMRI for Early MCI DiagnosisJeon, Eunjin / Kang, Eunsong / Lee, Jiyeon / Lee, Jaein / Kam, Tae-Eui / Suk, Heung-Il et al. | 2020
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Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and PopulationsMahmood, Usman / Rahman, Md Mahfuzur / Fedorov, Alex / Lewis, Noah / Fu, Zening / Calhoun, Vince D. / Plis, Sergey M. et al. | 2020
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A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s DiseaseSong, Tzu-An / Chowdhury, Samadrita Roy / Yang, Fan / Jacobs, Heidi I. L. / Sepulcre, Jorge / Wedeen, Van J. / Johnson, Keith A. / Dutta, Joyita et al. | 2020
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A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI DataBayrak, Roza G. / Salas, Jorge A. / Huo, Yuankai / Chang, Catie et al. | 2020
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A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismD’Souza, Niharika Shimona / Nebel, Mary Beth / Crocetti, Deana / Wymbs, Nicholas / Robinson, Joshua / Mostofsky, Stewart / Venkataraman, Archana et al. | 2020
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Poincaré Embedding Reveals Edge-Based Functional Networks of the BrainGao, Siyuan / Mishne, Gal / Scheinost, Dustin et al. | 2020
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The Constrained Network-Based Statistic: A New Level of Inference for NeuroimagingNoble, Stephanie / Scheinost, Dustin et al. | 2020
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Learning Personal Representations from fMRI by Predicting Neurofeedback PerformanceOsin, Jhonathan / Wolf, Lior / Gurevitch, Guy / Keynan, Jackob Nimrod / Fruchtman-Steinbok, Tom / Or-Borichev, Ayelet / Hendler, Talma et al. | 2020
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A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI DataZhao, Chongyue / Li, Hongming / Jiao, Zhicheng / Du, Tianming / Fan, Yong et al. | 2020
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Detecting Changes of Functional Connectivity by Dynamic Graph Embedding LearningLin, Yi / Hou, Jia / Laurienti, Paul J. / Wu, Guorong et al. | 2020
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Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)Dong, Qinglin / Qiang, Ning / Lv, Jinglei / Li, Xiang / Liu, Tianming / Li, Quanzheng et al. | 2020
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Spatiotemporal Attention Autoencoder (STAAE) for ADHD ClassificationDong, Qinglin / Qiang, Ning / Lv, Jinglei / Li, Xiang / Liu, Tianming / Li, Quanzheng et al. | 2020
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Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI DataLee, David S. / Sahib, Ashish / Narr, Katherine / Nunez, Elvis / Joshi, Shantanu et al. | 2020
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Spatio-Temporal Graph Convolution for Resting-State fMRI AnalysisGadgil, Soham / Zhao, Qingyu / Pfefferbaum, Adolf / Sullivan, Edith V. / Adeli, Ehsan / Pohl, Kilian M. et al. | 2020
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A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI ResponseKhosla, Meenakshi / Ngo, Gia H. / Jamison, Keith / Kuceyeski, Amy / Sabuncu, Mert R. et al. | 2020
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Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain GraphBessadok, Alaa / Mahjoub, Mohamed Ali / Rekik, Islem et al. | 2020
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Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease PredictionHuang, Yongxiang / Chung, Albert C. S. et al. | 2020
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Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste DrainageElkin, Rena / Nadeem, Saad / Lee, Hedok / Benveniste, Helene / Tannenbaum, Allen et al. | 2020
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Differentiable Deconvolution for Improved Stroke Perfusion Analysisde la Rosa, Ezequiel / Robben, David / Sima, Diana M. / Kirschke, Jan S. / Menze, Bjoern et al. | 2020
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Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive DisorderYang, Peng / Yang, Qiong / Wei, Zhen / Shen, Li / Wang, Tianfu / Peng, Ziwen / Lei, Baiying et al. | 2020
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Deep Representation Learning for Multimodal Brain NetworksZhang, Wen / Zhan, Liang / Thompson, Paul / Wang, Yalin et al. | 2020
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Pooling Regularized Graph Neural Network for fMRI Biomarker AnalysisLi, Xiaoxiao / Zhou, Yuan / Dvornek, Nicha C. / Zhang, Muhan / Zhuang, Juntang / Ventola, Pamela / Duncan, James S. et al. | 2020
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Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington’s DiseaseHett, Kilian / Giraud, Rémi / Johnson, Hans / Paulsen, Jane S. / Long, Jeffrey D. / Oguz, Ipek et al. | 2020
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A Deep Spatial Context Guided Framework for Infant Brain Subcortical SegmentationChen, Liangjun / Wu, Zhengwang / Hu, Dan / Wang, Ya / Mo, Zhanhao / Wang, Li / Lin, Weili / Shen, Dinggang / Li, Gang et al. | 2020
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Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAEVolokitin, Anna / Erdil, Ertunc / Karani, Neerav / Tezcan, Kerem Can / Chen, Xiaoran / Van Gool, Luc / Konukoglu, Ender et al. | 2020
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Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based AnalysisGerber, Samuel / Niethammer, Marc et al. | 2020
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MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain DiseasesWen, Junhao / Varol, Erdem / Chand, Ganesh / Sotiras, Aristeidis / Davatzikos, Christos et al. | 2020
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PIANO: Perfusion Imaging via Advection-DiffusionLiu, Peirong / Lee, Yueh Z. / Aylward, Stephen R. / Niethammer, Marc et al. | 2020
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Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging DataKia, Seyed Mostafa / Huijsdens, Hester / Dinga, Richard / Wolfers, Thomas / Mennes, Maarten / Andreassen, Ole A. / Westlye, Lars T. / Beckmann, Christian F. / Marquand, Andre F. et al. | 2020
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Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer NetworksRobinson, Robert / Dou, Qi / Coelho de Castro, Daniel / Kamnitsas, Konstantinos / de Groot, Marius / Summers, Ronald M. / Rueckert, Daniel / Glocker, Ben et al. | 2020
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A Disentangled Latent Space for Cross-Site MRI HarmonizationDewey, Blake E. / Zuo, Lianrui / Carass, Aaron / He, Yufan / Liu, Yihao / Mowry, Ellen M. / Newsome, Scott / Oh, Jiwon / Calabresi, Peter A. / Prince, Jerry L. et al. | 2020
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Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain CancerBolan, Patrick J. / Branzoli, Francesca / Di Stefano, Anna Luisa / Nichelli, Lucia / Valabregue, Romain / Saunders, Sara L. / Akçakaya, Mehmet / Sanson, Marc / Lehéricy, Stéphane / Marjańska, Małgorzata et al. | 2020
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Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency LearningZhou, Bo / Tsai, Yu-Jung / Liu, Chi et al. | 2020
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Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in RadiotherapyZhu, Zhuotun / Jin, Dakai / Yan, Ke / Ho, Tsung-Ying / Ye, Xianghua / Guo, Dazhou / Chao, Chun-Hung / Xiao, Jing / Yuille, Alan / Lu, Le et al. | 2020
- 74
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Multi-modality Information Fusion for Radiomics-Based Neural Architecture SearchPeng, Yige / Bi, Lei / Fulham, Michael / Feng, Dagan / Kim, Jinman et al. | 2020
- 75
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Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural NetworkChao, Chun-Hung / Zhu, Zhuotun / Guo, Dazhou / Yan, Ke / Ho, Tsung-Ying / Cai, Jinzheng / Harrison, Adam P. / Ye, Xianghua / Xiao, Jing / Yuille, Alan et al. | 2020
- 76
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Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep LearningFeng, Qiupeng / Liu, Huafeng et al. | 2020
- 77
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Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural NetworkXie, Nuobei / Gong, Kuang / Guo, Ning / Qin, Zhixing / Cui, Jianan / Wu, Zhifang / Liu, Huafeng / Li, Quanzheng et al. | 2020
- 78
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Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS)Zheng, Yifan / Huh, Yoonsuk / Su, Qianqian / Wang, Jiaming / Lin, Yunduan / Vetter, Kai / Seo, Youngho et al. | 2020