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ORCID14th CDMRI@MICCAI 2023: Vancouver, BC, Canada
- Muge Karaman
, Remika Mito, Elizabeth Powell, Francois Rheault, Stefan Winzeck:
Computational Diffusion MRI - 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14328, Springer 2023, ISBN 978-3-031-47291-6 - Tom Hendriks, Anna Vilanova, Maxime Chamberland:
Neural Spherical Harmonics for Structurally Coherent Continuous Representation of Diffusion MRI Signal. 1-12 - Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo:
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI. 13-22 - Patryk Filipiak, Timothy M. Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G. Placantonakis, Walter Schneider, Fernando E. Boada, Steven H. Baete:
Diffusion Phantom Study of Fiber Crossings at Varied Angles Reconstructed with ODF-Fingerprinting. 23-34 - Erick Hernandez-Gutierrez, Ricardo Coronado-Leija, Alonso Ramirez-Manzanares, Muhamed Barakovic, Stefano Magon, Maxime Descoteaux:
Improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging. 35-46 - Etienne St-Onge, Kurt G. Schilling, Francois Rheault:
BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation. 47-57 - Shuo Huang, Lujia Zhong, Yonggang Shi:
Automated Mapping of Residual Distortion Severity in Diffusion MRI. 58-69 - John Kruper, Ariel Rokem:
Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle. 70-79 - Serge Vasylechko, Onur Afacan, Sila Kurugol:
Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI. 80-91 - Besm Osman, Mestiez Pereira, Huub van de Wetering, Maxime Chamberland:
Voxlines: Streamline Transparency Through Voxelization and View-Dependent Line Orders. 92-103 - S. Shailja, Jonathan Parlett, Abhishek S. Jeyapratap, Ali Shokoufandeh, Birkan Tunç, Yusuf Osmanlioglu:
Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork. 104-117 - Omri Leshem, Nahum Kiryati, Michael Green, Ilya Nelkenbaum, Dani Roizen, Arnaldo Mayer:
Fast Acquisition for Diffusion Tensor Tractography. 118-128 - Yuan Li, Xinyu Nie, Yao Fu, Yonggang Shi:
FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography. 129-139 - Johannes Gruen, Jonah Sieg, Thomas Schultz:
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography. 140-151 - Yixue Feng, Bramsh Qamar Chandio, Julio E. Villalon-Reina, Sophia I. Thomopoulos, Himanshu Joshi, Gauthami Nair, Anand A. Joshi, Ganesan Venkatasubramanian, John P. John, Paul M. Thompson:
BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data. 152-164 - Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. 165-176 - S. Shailja, Jefferson W. Chen, Scott T. Grafton, B. S. Manjunath:
ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs. 177-191 - Kelly Chang, Luke Burke, Nina LaPiana, Bradley H. Howlett, David Hunt, Margaret Dezelar, Jalal B. Andre, James Ralston, Ariel Rokem, Christine Mac Donald:
Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort. 192-203
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