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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings

  • Conference proceedings
  • © 2023

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Editors:
  1. Jonghye Woo

    1. Harvard Medical School, Massachusetts General Hospital, Boston, USA

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  2. Alessa Hering

    1. Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands

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  3. Wilson Silva

    1. The Netherlands Cancer Institute, Amsterdam, The Netherlands

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  4. Xiang Li

    1. Harvard Medical School, Massachusetts General Hospital, Boston, USA

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  5. Huazhu Fu

    1. A*STAR, Institute of High Performance Computing, Singapore, Singapore

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  6. Xiaofeng Liu

    1. Harvard Medical School, Massachusetts General Hospital, Boston, USA

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  7. Fangxu Xing

    1. Harvard Medical School, Massachusetts General Hospital, Boston, USA

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  8. Sanjay Purushotham

    1. University of Maryland Baltimore County, Baltimore, USA

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  9. Tejas S. Mathai

    1. National Institutes of Health, Bethesda, USA

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  10. Pritam Mukherjee

    1. National Institutes of Health, Bethesda, USA

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  11. Max De Grauw

    1. Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands

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  12. Regina Beets Tan

    1. The Netherlands Cancer Institute, Amsterdam, The Netherlands

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  13. Valentina Corbetta

    1. The Netherlands Cancer Institute, Amsterdam, The Netherlands

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  14. Elmar Kotter

    1. University Hospital Freiburg, Freiburg, Germany

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  15. Mauricio Reyes

    1. University of Bern, Bern, Switzerland

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  16. Christian F. Baumgartner

    1. University of Tübingen, Tübingen, Germany

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  17. Quanzheng Li

    1. Harvard Medical School, Massachusetts General Hospital, Boston, USA

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  18. Richard Leahy

    1. University of Southern California, Los Angeles, USA

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  19. Bin Dong

    1. Peking University, Beijing, China

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  20. Hao Chen

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

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  21. Yuankai Huo

    1. Vanderbilt University, Nashville, USA

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  22. Jinglei Lv

    1. University of Sydney, Camperdown, Australia

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  23. Xinxing Xu

    1. Institute of High Performance Computing, Singapore, Singapore

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  24. Xiaomeng Li

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

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  25. Dwarikanath Mahapatra

    1. Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates

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  26. Li Cheng

    1. University of Alberta, Edmonton, Canada

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  27. Caroline Petitjean

    1. LITIS, University of Rouen, Rouen, France

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  28. Benoît Presles

    1. ImViA Laboratory, University of Burgundy, Dijon, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14394)

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Conference proceedings info: MICCAI 2023.

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About this book

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023.

The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops.

The papers of the workshops are presenting the topical sections: 

  • Eighth International Skin Imaging Collaboration Workshop (ISIC 2023)
    • First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop
  •       First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023)
  • Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023)
  • First MICCAI Workshop on Time-Series Data Analytics and Learning
    • First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF)
  • AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023)
  • Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023)
    • Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

    Keywords

    Table of contents (33 papers)

    1. Front Matter

      Pages i-xxx
      Download chapter PDF

    2. Proceedings of the First MICCAI Workshop on Time-Series Data Analytics and Learning (MTSAIL 2023)

      1. Front Matter

        Pages 1-1
        Download chapter PDF

      2. Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer

        • Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng
        Pages 3-13

      3. A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks

        • Mingyang Xia, Yonggang Shi
        Pages 14-23

      4. MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

        • Zhangxing Bian, Shuwen Wei, Yihao Liu, Junyu Chen, Jiachen Zhuo, Fangxu Xing et al.
        Pages 24-34

      5. FusionNet: A Frame Interpolation Network for 4D Heart Models

        • Chujie Chang, Shoko Miyauchi, Ken’ichi Morooka, Ryo Kurazume, Oscar Martinez Mozos
        Pages 35-44

      6. A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation

        • Ko Taniguchi, Takahiro Noguchi, Satoshi Iizuka, Hiroyasu Ando, Takashi Abe, Kazuhiro Fukui
        Pages 45-55

    3. Proceedings of the First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-up (LEAF 2023)

      1. Front Matter

        Pages 57-57
        Download chapter PDF

      2. A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies

        • Halid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez
        Pages 59-68

      3. A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease

        • Zheyu Wen, Ali Ghafouri, George Biros
        Pages 69-79

      4. Outlier Robust Disease Classification via Stochastic Confidence Network

        • Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jorge Sepulcre, Xiaofeng Liu, Fangxu Xing et al.
        Pages 80-90

      5. Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

        • Sven Kuckertz, Stefan Heldmann, Jan Hendrik Moltz
        Pages 91-99

    4. Proceedings of the AI for Treatment Response Assessment and predicTion Workshop (AI4Treat 2023)

      1. Front Matter

        Pages 101-101
        Download chapter PDF

      2. Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images

        • Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas et al.
        Pages 103-112

      3. RPTK: The Role of Feature Computation on Prediction Performance

        • Jonas R. Bohn, Christian M. Heidt, Silvia D. Almeida, Lisa Kausch, Michael Götz, Marco Nolden et al.
        Pages 113-122

    5. Proceedings of the Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023)

      1. Front Matter

        Pages 123-123
        Download chapter PDF

      2. \(M^{2}\)Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

        • Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu et al.
        Pages 125-134

      3. Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation

        • Delin Chen, Yansheng Qiu, Zheng Wang
        Pages 135-146

      4. MAD: Modality Agnostic Distance Measure for Image Registration

        • Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert
        Pages 147-156

      5. Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI

        • Tomé Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria João M. Vasconcelos, Jaime S. Cardoso et al.
        Pages 157-167
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    Other volumes

    1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    8. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    9. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    10. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    11. Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology

    12. Data Augmentation, Labelling, and Imperfections

    13. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

    14. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

    15. Deep Generative Models

    16. Myopic Maculopathy Analysis

    17. Computational Biomechanics for Medicine

    Editors and Affiliations

    • Harvard Medical School, Massachusetts General Hospital, Boston, USA

      Jonghye Woo, Xiang Li, Xiaofeng Liu, Fangxu Xing, Quanzheng Li

    • Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands

      Alessa Hering, Max De Grauw

    • The Netherlands Cancer Institute, Amsterdam, The Netherlands

      Wilson Silva, Regina Beets Tan, Valentina Corbetta

    • A*STAR, Institute of High Performance Computing, Singapore, Singapore

      Huazhu Fu

    • University of Maryland Baltimore County, Baltimore, USA

      Sanjay Purushotham

    • National Institutes of Health, Bethesda, USA

      Tejas S. Mathai, Pritam Mukherjee

    • University Hospital Freiburg, Freiburg, Germany

      Elmar Kotter

    • University of Bern, Bern, Switzerland

      Mauricio Reyes

    • University of Tübingen, Tübingen, Germany

      Christian F. Baumgartner

    • University of Southern California, Los Angeles, USA

      Richard Leahy

    • Peking University, Beijing, China

      Bin Dong

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

      Hao Chen

    • Vanderbilt University, Nashville, USA

      Yuankai Huo

    • University of Sydney, Camperdown, Australia

      Jinglei Lv

    • Institute of High Performance Computing, Singapore, Singapore

      Xinxing Xu

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

      Xiaomeng Li

    • Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates

      Dwarikanath Mahapatra

    • University of Alberta, Edmonton, Canada

      Li Cheng

    • LITIS, University of Rouen, Rouen, France

      Caroline Petitjean

    • ImViA Laboratory, University of Burgundy, Dijon, France

      Benoît Presles

    Bibliographic Information

    • Book Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

    • Book Subtitle: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings

    • Editors: Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, … Benoît Presles

    • Series Title: Lecture Notes in Computer Science

    • DOI: https://doi.org/10.1007/978-3-031-47425-5

    • 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 2023

    • Softcover ISBN: 978-3-031-47424-8Published: 03 February 2024

    • eBook ISBN: 978-3-031-47425-5Published: 02 February 2024

    • Series ISSN: 0302-9743

    • Series E-ISSN: 1611-3349

    • Edition Number: 1

    • Number of Pages: XXX, 381

    • Number of Illustrations: 8 b/w illustrations, 113 illustrations in colour

    • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics

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