Abstract is missing.
- A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's DiseaseMaryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang 0002, Dinggang Shen. 3-12 [doi]
- A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early InfancyMayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li 0001, Li Wang 0026, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang 0002. 13-21 [doi]
- Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque BrainsTao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li 0001. 22-32 [doi]
- Parkinson's Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity NetworksNandinee Fariah Haq, Jiayue Cai, Tianze Yu, Martin J. McKeown, Z. Jane Wang 0001. 33-43 [doi]
- Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI IdentificationJin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang, Li Shen 0001. 44-52 [doi]
- Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial NetworkLu Zhang, Li Wang, Dajiang Zhu. 53-61 [doi]
- From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional ConnectivityGia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. 62-71 [doi]
- Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome FingerprintingDan Hu, Fan Wang, Han Zhang 0002, Zhengwang Wu, Li Wang 0026, Weili Lin, Gang Li 0001, Dinggang Shen. 72-82 [doi]
- COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in ChildrenFan Yang, Amal Isaiah, Won Hwa Kim. 83-93 [doi]
- Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task RegressionTuo Zhang, Zhibin He, Xi Jiang, Lei Guo 0002, Xiaoping Hu 0001, Tianming Liu, Lei Du. 94-103 [doi]
- Self-weighted Multi-task Learning for Subjective Cognitive Decline DiagnosisNina Cheng, Alejandro Frangi, Zhiguo Zhang 0001, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei. 104-113 [doi]
- Unified Brain Network with Functional and Structural DataJing Yang, Qi Zhu 0001, Rui Zhang, Jiashuang Huang, Daoqiang Zhang. 114-123 [doi]
- Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict DiseaseXuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei. 124-133 [doi]
- Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature FeaturesXin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang 0026, Weili Lin, Dinggang Shen, Gang Li 0001. 134-144 [doi]
- Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT VolumesDongang Wang, Chenyu Wang, Lynette Masters, Michael Barnett 0006. 145-154 [doi]
- Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain TemplatesMustafa Burak Gurbuz, Islem Rekik. 155-165 [doi]
- Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas EstimationIslem Mhiri, Mohamed-Ali Mahjoub, Islem Rekik. 166-176 [doi]
- Partial Volume Segmentation of Brain MRI Scans of Any Resolution and ContrastBenjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias. 177-187 [doi]
- BDB-Net: Boundary-Enhanced Dual Branch Network for Whole Brain SegmentationYu Zhang, Bo Liu 0027, Yinuo Wang, Zhengzhou Gao, Xiangzhi Bai, Fugen Zhou. 188-197 [doi]
- Brain Age Estimation from MRI Using a Two-Stage Cascade Network with Ranking LossZiyang Liu, Jian Cheng 0002, Haogang Zhu, Jicong Zhang, Tao Liu. 198-207 [doi]
- Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline DelineationShen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang 0001. 208-217 [doi]
- Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic MappingYanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang 0001. 218-227 [doi]
- Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment DetectionShuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei. 228-237 [doi]
- Construction of Spatiotemporal Infant Cortical Surface Functional TemplatesYing Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang 0002, Li Wang 0026, Weili Lin, Dinggang Shen, Gang Li 0001. 238-248 [doi]
- Tract Dictionary Learning for Fast and Robust Recognition of Fiber BundlesYe Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap. 251-259 [doi]
- Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber ContinuityYe Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap. 260-269 [doi]
- White Matter Tract Segmentation with Self-supervised LearningQi Lu, Yuxing Li, Chuyang Ye. 270-279 [doi]
- Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural NetworksGeng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap. 280-290 [doi]
- Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep LearningPietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani. 291-301 [doi]
- Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome ImagingYuchuan Qiao, Yonggang Shi. 302-310 [doi]
- Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI AnalysisHeejong Kim, Sungmin Hong, Martin Styner, Joseph Piven, Kelly N. Botteron, Guido Gerig. 311-321 [doi]
- TRAKO: Efficient Transmission of Tractography Data for VisualizationDaniel Haehn, Loraine Franke, Fan Zhang 0013, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi. 322-332 [doi]
- Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report GenerationAydan Gasimova, Gavin Seegoolam, Liang Chen 0018, Paul Bentley, Daniel Rueckert. 333-342 [doi]
- Trajectories from Distribution-Valued Functional Curves: A Unified Wasserstein FrameworkAnuja Sharma, Guido Gerig. 343-353 [doi]
- Characterizing Intra-soma Diffusion with Spherical Mean Spectrum ImagingKhoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap. 354-363 [doi]
- Estimating Common Harmonic Waves of Brain Networks on Stiefel ManifoldJiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul Laurienti, Guorong Wu 0001. 367-376 [doi]
- Neural Architecture Search for Optimization of Spatial-Temporal Brain Network DecompositionQing Li, Wei Zhang 0090, Jinglei Lv, Xia Wu, Tianming Liu. 377-386 [doi]
- Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease AnalysisJunbo Ma, Xiaofeng Zhu 0001, Defu Yang, Jiazhou Chen, Guorong Wu 0001. 387-396 [doi]
- Enriched Representation Learning in Resting-State fMRI for Early MCI DiagnosisEunjin Jeon, Eunsong Kang, Jiyeon Lee, Jaein Lee, Tae-Eui Kam, Heung-Il Suk. 397-406 [doi]
- Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and PopulationsUsman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis. 407-417 [doi]
- A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer's DiseaseTzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Jorge Sepulcre, Van J. Wedeen, Keith A. Johnson, Joyita Dutta. 418-427 [doi]
- A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI DataRoza G. Bayrak, Jorge A. Salas, Yuankai Huo, Catie Chang. 428-436 [doi]
- A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismNiharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman. 437-447 [doi]
- Poincaré Embedding Reveals Edge-Based Functional Networks of the BrainSiyuan Gao, Gal Mishne, Dustin Scheinost. 448-457 [doi]
- The Constrained Network-Based Statistic: A New Level of Inference for NeuroimagingStephanie Noble, Dustin Scheinost. 458-468 [doi]
- Learning Personal Representations from fMRI by Predicting Neurofeedback PerformanceJhonathan Osin, Lior Wolf, Guy Gurevitch, Nimrod Jakob Keynan, Tom Fruchtman-Steinbok, Ayelet Or-Borichev, Talma Hendler. 469-478 [doi]
- A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI DataChongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan 0001. 479-488 [doi]
- Detecting Changes of Functional Connectivity by Dynamic Graph Embedding LearningYi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu 0001. 489-497 [doi]
- Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li 0001, Tianming Liu, Quanzheng Li. 498-507 [doi]
- Spatiotemporal Attention Autoencoder (STAAE) for ADHD ClassificationQinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li 0001, Tianming Liu, Quanzheng Li. 508-517 [doi]
- Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI DataDavid S. Lee, Ashish Sahib, Katherine Narr, Elvis Nunez, Shantanu H. Joshi. 518-527 [doi]
- Spatio-Temporal Graph Convolution for Resting-State fMRI AnalysisSoham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Ehsan Adeli, Kilian M. Pohl. 528-538 [doi]
- A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI ResponseMeenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. 539-548 [doi]
- Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain GraphAlaa Bessadok, Mohamed-Ali Mahjoub, Islem Rekik. 551-561 [doi]
- Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease PredictionYongxiang Huang, Albert C. S. Chung. 562-572 [doi]
- Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste DrainageRena Elkin, Saad Nadeem, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum. 573-582 [doi]
- Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive DeclineYunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen. 583-592 [doi]
- Differentiable Deconvolution for Improved Stroke Perfusion AnalysisEzequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze. 593-602 [doi]
- Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive DisorderPeng Yang, Qiong Yang, Wei Zheng, Li Shen 0001, Tianfu Wang, Ziwen Peng, Baiying Lei. 603-612 [doi]
- Deep Representation Learning for Multimodal Brain NetworksWen Zhang 0010, Liang Zhan, Paul M. Thompson, Yalin Wang 0001. 613-624 [doi]
- Pooling Regularized Graph Neural Network for fMRI Biomarker AnalysisXiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan. 625-635 [doi]
- Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's DiseaseKilian Hett, Rémi Giraud, Hans J. Johnson, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz. 636-645 [doi]
- A Deep Spatial Context Guided Framework for Infant Brain Subcortical SegmentationLiangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li 0001. 646-656 [doi]
- Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAEAnna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu. 657-666 [doi]
- Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based AnalysisSamuel Gerber, Marc Niethammer. 667-677 [doi]
- MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain DiseasesJunhao Wen, Erdem Varol, Ganesh Chand, Aristeidis Sotiras, Christos Davatzikos. 678-687 [doi]
- PIANO: Perfusion Imaging via Advection-DiffusionPeirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer. 688-698 [doi]
- Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging DataSeyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand. 699-709 [doi]
- Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer NetworksRobert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker. 710-719 [doi]
- A Disentangled Latent Space for Cross-Site MRI HarmonizationBlake E. Dewey, Lianrui Zuo, Aaron Carass, Yufan He, Yihao Liu, Ellen M. Mowry, Scott Newsome, Jiwon Oh, Peter A. Calabresi, Jerry L. Prince. 720-729 [doi]
- Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain CancerPatrick J. Bolan, Francesca Branzoli, Anna Luisa Di Stefano, Lucia Nichelli, Romain Valabrègue, Sara L. Saunders, Mehmet Akçakaya, Marc Sanson, Stéphane Lehéricy, Malgorzata Marjanska. 730-739 [doi]
- Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency LearningBo Zhou, Yu-Jung Tsai, Chi Liu. 743-752 [doi]
- Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in RadiotherapyZhuotun Zhu, Dakai Jin, Ke Yan 0006, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao 0006, Alan L. Yuille, Le Lu 0001. 753-762 [doi]
- Multi-modality Information Fusion for Radiomics-Based Neural Architecture SearchYige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim. 763-771 [doi]
- Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural NetworkChun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan 0006, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao 0006, Alan L. Yuille, Min Sun, Le Lu 0001, Dakai Jin. 772-782 [doi]
- Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep LearningQiupeng Feng, Huafeng Liu. 783-792 [doi]
- Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural NetworkNuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li. 793-802 [doi]
- Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS)Yifan Zheng, Yoonsuk Huh, Qianqian Su, Jiaming Wang, Yunduan Lin, Kai Vetter, Youngho Seo. 803-811 [doi]