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ORCID13th CDMRI@MICCAI 2022: Singapore, Singapore
- Suheyla Cetin Karayumak, Daan Christiaens
, Matteo Figini, Pamela Guevara, Tomasz Pieciak, Elizabeth Powell, Francois Rheault:
Computational Diffusion MRI - 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13722, Springer 2022, ISBN 978-3-031-21205-5
Data Preprocessing
- Hamza Kebiri, Gabriel Girard, Yasser Alemán-Gómez, Thomas Yu, András Jakab, Erick Jorge Canales-Rodríguez, Meritxell Bach Cuadra:
Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders. 3-13 - Tyler A. Spears, P. Thomas Fletcher:
Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging. 14-25 - Matteo Mancini, Derek K. Jones, Marco Palombo:
Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study. 26-37 - Antoine Legouhy, Mark S. Graham, Michele Guerreri, Whitney Stee, Thomas Villemonteix, Philippe Peigneux, Hui Zhang:
Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning. 38-49 - Talia M. Nir, Julio E. Villalon-Reina, Paul M. Thompson, Neda Jahanshad:
The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures. 50-61
Signal Representations
- Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai:
Diffusion MRI Fibre Orientation Distribution Inpainting. 65-76 - Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator:
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. 77-88 - Patryk Filipiak, Timothy M. Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G. Placantonakis, Walter Schneider, Fernando E. Boada, Steven H. Baete:
Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting. 89-100 - Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang:
How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? 101-112
Tractography and WM Pathways
- Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma:
DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net. 115-124 - Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux:
Clustering in Tractography Using Autoencoders (CINTA). 125-136 - Rick Sengers, Tom C. J. Dela Haije, Andrea Fuster, Luc Florack:
Tractometric Coherence of Fiber Bundles in DTI. 137-148
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