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23rd MICCAI 2020: Lima, Peru - Part VII
- Anne L. Martel
, Purang Abolmaesumi
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12267, Springer 2020, ISBN 978-3-030-59727-6
Brain Development and Atlases
- Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen:
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. 3-12 - Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. 13-21 - Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. 22-32 - Nandinee Fariah Haq, Jiayue Cai, Tianze Yu, Martin J. McKeown, Z. Jane Wang:
Parkinson's Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks. 33-43 - Jin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang
Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification. 44-52 - Lu Zhang, Li Wang, Dajiang Zhu:
Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network. 53-61 - Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. 62-71 - Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. 72-82 - Fan Yang, Amal Isaiah
COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children. 83-93 - Tuo Zhang, Zhibin He, Xi Jiang
Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. 94-103 - Nina Cheng, Alejandro Frangi
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. 104-113 - Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang:
Unified Brain Network with Functional and Structural Data. 114-123 - Xuegang Song, Alejandro F. Frangi
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. 124-133 - Xin Zhang, Jiale Cheng, Hao Ni
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. 134-144 - Dongang Wang
Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes. 145-154 - Mustafa Burak Gurbuz, Islem Rekik
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. 155-165 - Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation. 166-176 - Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias:
Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast. 177-187 - Yu Zhang, Bo Liu, Yinuo Wang, Zhengzhou Gao, Xiangzhi Bai, Fugen Zhou:
BDB-Net: Boundary-Enhanced Dual Branch Network for Whole Brain Segmentation. 188-197 - Ziyang Liu, Jian Cheng
Brain Age Estimation from MRI Using a Two-Stage Cascade Network with Ranking Loss. 198-207 - Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang:
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. 208-217 - Yanshuai Tu
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping. 218-227 - Shuangzhi Yu, Shuqiang Wang
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. 228-237 - Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. 238-248
DWI and Tractography
- Ye Wu
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. 251-259 - Ye Wu
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. 260-269 - Qi Lu, Yuxing Li, Chuyang Ye:
White Matter Tract Segmentation with Self-supervised Learning. 270-279 - Geng Chen, Yoonmi Hong
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. 280-290 - Pietro Astolfi
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. 291-301 - Yuchuan Qiao
Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging. 302-310 - Heejong Kim
Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis. 311-321 - Daniel Haehn
TRAKO: Efficient Transmission of Tractography Data for Visualization. 322-332 - Aydan Gasimova, Gavin Seegoolam, Liang Chen, Paul Bentley
Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation. 333-342 - Anuja Sharma
Trajectories from Distribution-Valued Functional Curves: A Unified Wasserstein Framework. 343-353 - Khoi Minh Huynh, Ye Wu
Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. 354-363
Functional Brain Networks
- Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. 367-376 - Qing Li
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. 377-386 - Junbo Ma
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis. 387-396 - Eunjin Jeon
Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. 397-406 - Usman Mahmood
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. 407-417 - Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Jorge Sepulcre, Van J. Wedeen, Keith A. Johnson, Joyita Dutta
A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer's Disease. 418-427 - Roza G. Bayrak
A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data. 428-436 - Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. 437-447 - Siyuan Gao, Gal Mishne
Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain. 448-457 - Stephanie Noble
The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. 458-468 - Jhonathan Osin, Lior Wolf, Guy Gurevitch
Learning Personal Representations from fMRI by Predicting Neurofeedback Performance. 469-478 - Chongyue Zhao, Hongming Li, Zhicheng Jiao
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. 479-488 - Yi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu:
Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. 489-497 - Qinglin Dong, Ning Qiang, Jinglei Lv
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). 498-507 - Qinglin Dong, Ning Qiang, Jinglei Lv
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. 508-517 - David S. Lee, Ashish Sahib, Katherine L. Narr, Elvis Nunez, Shantanu H. Joshi:
Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI Data. 518-527 - Soham Gadgil
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. 528-538 - Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response. 539-548
Neuroimaging
- Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. 551-561 - Yongxiang Huang, Albert C. S. Chung:
Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction. 562-572 - Rena Elkin, Saad Nadeem, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum:
Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste Drainage. 573-582 - Yunbi Liu, Yongsheng Pan
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. 583-592 - Ezequiel de la Rosa, David Robben, Diana Maria Sima
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. 593-602 - Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei:
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. 603-612 - Wen Zhang
Deep Representation Learning for Multimodal Brain Networks. 613-624 - Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. 625-635 - Kilian Hett
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease. 636-645 - Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. 646-656 - Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. 657-666 - Samuel Gerber, Marc Niethammer:
Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis. 667-677 - Junhao Wen
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. 678-687 - Peirong Liu, Yueh Z. Lee, Stephen R. Aylward
PIANO: Perfusion Imaging via Advection-Diffusion. 688-698 - Seyed Mostafa Kia
Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data. 699-709 - Robert Robinson, Qi Dou, Daniel Coelho de Castro
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. 710-719 - Blake E. Dewey, Lianrui Zuo, Aaron Carass, Yufan He, Yihao Liu, Ellen M. Mowry, Scott D. Newsome, Jiwon Oh, Peter A. Calabresi, Jerry L. Prince:
A Disentangled Latent Space for Cross-Site MRI Harmonization. 720-729 - Patrick J. Bolan
Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. 730-739
Positron Emission Tomography
- Bo Zhou, Yu-Jung Tsai, Chi Liu:
Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning. 743-752 - Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. 753-762 - Yige Peng, Lei Bi, Michael J. Fulham
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. 763-771 - Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. 772-782 - Qiupeng Feng, Huafeng Liu:
Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep Learning. 783-792 - Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. 793-802 - Yifan Zheng
Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS). 803-811
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