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Computational Diffusion MRI

13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Suheyla Cetin-Karayumak

    1. Harvard Medical School, Boston, USA

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  2. Daan Christiaens

    1. KU Leuven, Leuven, Belgium

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  3. Matteo Figini

    1. University College London, London, UK

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  4. Pamela Guevara

    1. Universidad de Concepción, Concepción, Chile

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  5. Tomasz Pieciak

    1. Universidad de Valladolid, Valladolid, Spain

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  6. Elizabeth Powell

    1. University College London, London, UK

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  7. Francois Rheault

    1. Université de Sherbrooke, Sherbrooke, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13722)

Included in the following conference series:

Conference proceedings info: CDMRI 2022.

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About this book

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2022, which was held 22 September 2022, in conjunction with MICCAI 2022. 

The 12 full papers included were carefully reviewed and selected for inclusion in the book. 

The papers were organized in topical sections as follows: Data processing, Signal representations, Tractography and WM pathways.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Data Preprocessing

    1. Front Matter

      Pages 1-1
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    2. Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders

      • Hamza Kebiri, Gabriel Girard, Yasser Alemán-Gómez, Thomas Yu, András Jakab, Erick Jorge Canales-Rodríguez et al.
      Pages 3-13

    3. Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging

      • Tyler A. Spears, P. Thomas Fletcher
      Pages 14-25

    4. Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study

      • Matteo Mancini, Derek K. Jones, Marco Palombo
      Pages 26-37

    5. Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning

      • Antoine Legouhy, Mark Graham, Michele Guerreri, Whitney Stee, Thomas Villemonteix, Philippe Peigneux et al.
      Pages 38-49

    6. The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures

      • Talia M. Nir, Julio E. Villalón-Reina, Paul M. Thompson, Neda Jahanshad
      Pages 50-61

  3. Signal Representations

    1. Front Matter

      Pages 63-63
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    2. Diffusion MRI Fibre Orientation Distribution Inpainting

      • Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D’Souza, Fernando Calamante, Dongnan Liu et al.
      Pages 65-76

    3. Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning

      • Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo et al.
      Pages 77-88

    4. Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting

      • Patryk Filipiak, Timothy Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G. Placantonakis, Walter Schneider et al.
      Pages 89-100

    5. How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?

      • Tobias Goodwin-Allcock, Jason McEwen, Robert Gray, Parashkev Nachev, Hui Zhang
      Pages 101-112

  4. Tractography and WM Pathways

    1. Front Matter

      Pages 113-113
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    2. DC\(^2\)U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net

      • Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma
      Pages 115-124

    3. Clustering in Tractography Using Autoencoders (CINTA)

      • Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux
      Pages 125-136

    4. Tractometric Coherence of Fiber Bundles in DTI

      • Rick Sengers, Tom Dela Haije, Andrea Fuster, Luc Florack
      Pages 137-148

  5. Back Matter

    Pages 149-149
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Other volumes

  1. Computational Diffusion MRI

Editors and Affiliations

  • Harvard Medical School, Boston, USA

    Suheyla Cetin-Karayumak

  • KU Leuven, Leuven, Belgium

    Daan Christiaens

  • University College London, London, UK

    Matteo Figini, Elizabeth Powell

  • Universidad de Concepción, Concepción, Chile

    Pamela Guevara

  • Universidad de Valladolid, Valladolid, Spain

    Tomasz Pieciak

  • Université de Sherbrooke, Sherbrooke, Canada

    Francois Rheault

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