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Biomedical Image Registration

11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Marc Modat

    1. King's College London, London, UK

  2. Ivor Simpson

    1. University of Sussex, Brighton, UK

  3. Žiga Špiclin

    1. University of Ljubljana, Ljubljana, Slovenia

  4. Wietske Bastiaansen

    1. Erasmus MC, Rotterdam, The Netherlands

  5. Alessa Hering

    1. Radboud University Medical Center, Nijmegen, The Netherlands

  6. Tony C. W. Mok

    1. Hong Kong University of Science and Technology, Hong Kong, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15249)

Included in the following conference series:

Conference proceedings info: WBIR 2024.

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About this book

This book constitutes the refereed proceedings of the 11th International Workshop on Biomedical Image Registration, WBIR 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024.

The 28 full papers presented in this book were carefully reviewed and selected from 32 submissions. These papers have been categorized under the following topical sections: Architectures; Robustness; Atlas/ Fusion; Feature/ Similarity Learning & Efficiency.

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xii
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  2. Architectures

    1. Front Matter

      Pages 1-1
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    2. MultiGradICON: A Foundation Model for Multimodal Medical Image Registration

      • Başar Demir, Lin Tian, Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar et al.
      Pages 3-18

    3. XSynthMorph: Generative-Guided Deformation for Unsupervised Ill-Posed Volumetric Recovery

      • Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch et al.
      Pages 19-33

    4. Large Deformation Registration with A Confidence-Guided Network

      • Xiaolong Wu, Bo Hu, Ruikang Xu, Shenglong Zhou, Ruisheng Gao, Zhiwei Xiong
      Pages 34-44

    5. Unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data

      • Fenja Falta, Wiebke Heyer, Christoph Großbröhmer, Mattias P. Heinrich
      Pages 45-59

    6. Feedback Attention for Unsupervised Cardiac Motion Estimation in 3D Echocardiography

      • Md. Kamrul Hasan, Guang Yang, Choon Hwai Yap
      Pages 60-72

    7. Learning Deformable Intra-Patient Liver Registration with Graph Cross-Attention

      • Stefano Fogarollo, Yannick Scharll, Reto Bale, Matthias Harders
      Pages 73-85

    8. Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration

      • Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
      Pages 86-97

  3. Robustness

    1. Front Matter

      Pages 99-99
      Download chapter PDF

    2. Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images

      • Iris D. Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen A. J. M. van Eijnatten, Matteo Maspero, Josien P. W. Pluim
      Pages 101-111

    3. Challenging the Robustness of Image Registration Similarity Metrics with Adversarial Attacks

      • Robin Rexeisen, Xiaoyi Jiang
      Pages 112-126

    4. Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping

      • Luise Brock, Andrzej Liebert, Hannes Schreiter, Dominika Skwierawska, Chris Ehring, Jessica Eberle et al.
      Pages 127-136

    5. A Learning-Free Approach to Mitigate Abnormal Deformations in Medical Image Registration

      • Abdullah F. Al-Battal, Soan T. M. Duong, Chanh D. Tr. Nguyen, Steven Q. H. Truong, Chien Phan, Truong Q. Nguyen et al.
      Pages 137-147

    6. Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis

      • Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar et al.
      Pages 148-162

  4. Atlas/Fusion

    1. Front Matter

      Pages 163-163
      Download chapter PDF

    2. SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation

      • Christoph Großbröhmer, Ziad Al-Haj Hemidi, Fenja Falta, Mattias P. Heinrich
      Pages 165-180

    3. A Novel Fusion of CT/MRI and US Images Based on Depth Camera and Electromagnetic Tracking

      • Martina Paccini, Giacomo Paschina, Stefano De Beni, Andrei Stefanov, Velizar Kolev, Giuseppe Patanè
      Pages 181-191

    4. Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration

      • Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle et al.
      Pages 192-204

    5. Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration

      • Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias
      Pages 205-215
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Other volumes

  1. Biomedical Image Registration

Editors and Affiliations

  • King's College London, London, UK

    Marc Modat

  • University of Sussex, Brighton, UK

    Ivor Simpson

  • University of Ljubljana, Ljubljana, Slovenia

    Žiga Špiclin

  • Erasmus MC, Rotterdam, The Netherlands

    Wietske Bastiaansen

  • Radboud University Medical Center, Nijmegen, The Netherlands

    Alessa Hering

  • Hong Kong University of Science and Technology, Hong Kong, China

    Tony C. W. Mok

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Bibliographic Information

  • Book Title: Biomedical Image Registration

  • Book Subtitle: 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

  • Editors: Marc Modat, Ivor Simpson, Žiga Špiclin, Wietske Bastiaansen, Alessa Hering, Tony C. W. Mok

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-73480-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-73479-3Published: 05 October 2024

  • eBook ISBN: 978-3-031-73480-9Published: 04 October 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 373

  • Number of Illustrations: 15 b/w illustrations, 104 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Computers and Education, Computer Applications, Bioinformatics

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