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ORCID4th MBIA/ 7th MFCA @ MICCAI 2019: Shenzhen, China
- Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec
, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9
MBIA
- Wenjuan Wang, Jin Liu, Tengfei Wang, Zongtao Hu, Li Xia, Hongzhi Wang, Lizhuang Yang, Stephen T. C. Wong, Xiaochu Zhang, Hai Li:
Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. 3-11 - Jia Liu, Fang Chen, Xianyu Wang, Hongen Liao:
An Edge Enhanced SRGAN for MRI Super Resolution in Slice-Selection Direction. 12-20 - Yudan Ren, Shuai Wang:
Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation. 21-29 - Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan:
Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. 30-38 - Ze Wang:
Mapping the Spatio-Temporal Functional Coherence in the Resting Brain. 39-48 - Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang:
Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. 49-56 - Ying Huang, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains. 57-65 - Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. 66-74 - Wei Suo, Xintao Hu, Bowei Yan, Mengyang Sun, Lei Guo, Junwei Han, Tianming Liu:
3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data. 75-83 - Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang:
Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. 84-92 - Xiuyan Ni, Tian Gao, Tingting Wu, Jin Fan, Chao Chen:
Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network. 93-101 - Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang:
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. 102-111 - Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland:
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. 112-120 - Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold:
Structural Similarity Based Anatomical and Functional Brain Imaging Fusion. 121-129 - Zhongdao Jia, Zhimin Yuan, Jialin Peng:
Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution. 130-138 - Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning:
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. 139-148
MFCA
- Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman:
Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. 151-161 - Daniel Tward, Xu Li, Bing-Xing Huo, Brian C. Lee, Partha P. Mitra, Michael I. Miller:
3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm. 162-173 - James Fishbaugh, Martin Styner, Karen Grewen, John H. Gilmore, Guido Gerig:
Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development. 174-185 - Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng Gu:
Surface Foliation Based Brain Morphometry Analysis. 186-195 - Youshan Zhang, Jiarui Xing, Miaomiao Zhang:
Mixture Probabilistic Principal Geodesic Analysis. 196-208 - Esfandiar Nava-Yazdani, Hans-Christian Hege, Christoph von Tycowicz:
A Geodesic Mixed Effects Model in Kendall's Shape Space. 209-218 - Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
An As-Invariant-As-Possible GL+(3) -Based Statistical Shape Model. 219-228
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