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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. M. Emre Celebi

    1. University of Central Arkansas, Conway, USA

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  2. Md Sirajus Salekin

    1. Amazon Development Center U.S. Inc., Seattle, USA

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  3. Hyunwoo Kim

    1. Korea University, Seoul, Korea (Republic of)

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  4. Shadi Albarqouni

    1. University Hospital Bonn, Bonn, Germany

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  5. Catarina Barata

    1. Instituto Superior Técnico, Lisboa, Portugal

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  6. Allan Halpern

    1. Memorial Sloan Kettering Cancer Center, New Yrok, USA

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  7. Philipp Tschandl

    1. Medical University of Vienna, Vienna, Austria

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  8. Marc Combalia

    1. Kenko AI, Barcelona, Spain

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  9. Yuan Liu

    1. Google (United States), Palo Alto, USA

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  10. Ghada Zamzmi

    1. National Institutes of Health, Bethesda, USA

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  11. Joshua Levy

    1. Amazon, USA, Cambridge, USA

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  12. Huzefa Rangwala

    1. Amazon (United States), Fairfax, USA

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  13. Annika Reinke

    1. German Cancer Research Center, Germany, Heidelberg, Germany

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  14. Diya Wynn

    1. Amazon (United States), Baltimore, USA

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  15. Bennett Landman

    1. Vanderbilt University, Brentwood, USA

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  16. Won-Ki Jeong

    1. Korea University, Seoul, Korea (Republic of)

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  17. Yiqing Shen

    1. Johns Hopkins University, Baltimore, USA

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  18. Zhongying Deng

    1. University of Surrey, Guildford, UK

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  19. Spyridon Bakas

    1. University of Pennsylvania, Philadelphia, USA

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  20. Xiaoxiao Li

    1. University of British Columbia, Vancouver, Canada

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  21. Chen Qin

    1. Imperial College London, London, UK

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  22. Nicola Rieke

    1. Nvidia, Munich, Germany

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  23. Holger Roth

    1. Nvidia Corporation, Bethesda, USA

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  24. Daguang Xu

    1. NVIDIA Corporation, Santa Clara, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14393)

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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 (35 papers)

    1. Front Matter

      Pages i-xxvi
      Download chapter PDF

    2. Proceedings of the Eighth International Skin Imaging Collaboration Workshop (ISIC 2023)

      1. Front Matter

        Pages 1-1
        Download chapter PDF

      2. Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification

        • Nourhan Bayasi, Siyi Du, Ghassan Hamarneh, Rafeef Garbi
        Pages 3-13

      3. Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

        • Yuchen Tian, Jiacheng Wang, Yueming Jin, Liansheng Wang
        Pages 14-24

      4. AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets

        • Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi
        Pages 25-36

      5. Test-Time Selection for Robust Skin Lesion Analysis

        • Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila
        Pages 37-46

      6. Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes

        • Carlos Santiago, Miguel Correia, Maria Rita Verdelho, Alceu Bissoto, Catarina Barata
        Pages 47-56

      7. Evidence-Driven Differential Diagnosis of Malignant Melanoma

        • Naren Akash R J, Anirudh Kaushik, Jayanthi Sivaswamy
        Pages 57-66

    3. Proceedings of the First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop

      1. Front Matter

        Pages 67-67
        Download chapter PDF

      2. An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

        • Wenjie Kang, Bo Li, Janne M. Papma, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels et al.
        Pages 69-78

      3. Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method

        • Wen Tang, Chenhao Pei, Pengxin Yu, Huan Zhang, Xiangde Min, Cancan Chen et al.
        Pages 79-88

      4. Gradient Self-alignment in Private Deep Learning

        • David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
        Pages 89-97

      5. Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients

        • Qiangqiang Gu, Nazim Shaikh, Ping-chang Lin, Srinath Jayachandran, Prasanna Porwal, Xiao Li et al.
        Pages 98-106

      6. Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification

        • Sara Ketabi, Pranav Agnihotri, Hamed Zakeri, Khashayar Namdar, Farzad Khalvati
        Pages 107-116

    4. Proceedings of the First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023)

      1. Front Matter

        Pages 117-117
        Download chapter PDF

      2. Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications

        • Sangwook Kim, Thomas G. Purdie, Chris McIntosh
        Pages 119-128

      3. Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model

        • Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen
        Pages 129-139

      4. Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging

        • Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
        Pages 140-150

      5. GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis

        • Yizhe Zhang, Danny Z. Chen
        Pages 151-160

      6. SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

        • Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel Saltz, Maria Vakalopoulou, Prateek Prasanna et al.
        Pages 161-170
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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

    • University of Central Arkansas, Conway, USA

      M. Emre Celebi

    • Amazon Development Center U.S. Inc., Seattle, USA

      Md Sirajus Salekin

    • Korea University, Seoul, Korea (Republic of)

      Hyunwoo Kim, Won-Ki Jeong

    • University Hospital Bonn, Bonn, Germany

      Shadi Albarqouni

    • Instituto Superior Técnico, Lisboa, Portugal

      Catarina Barata

    • Memorial Sloan Kettering Cancer Center, New Yrok, USA

      Allan Halpern

    • Medical University of Vienna, Vienna, Austria

      Philipp Tschandl

    • Kenko AI, Barcelona, Spain

      Marc Combalia

    • Google (United States), Palo Alto, USA

      Yuan Liu

    • National Institutes of Health, Bethesda, USA

      Ghada Zamzmi

    • Amazon, USA, Cambridge, USA

      Joshua Levy

    • Amazon (United States), Fairfax, USA

      Huzefa Rangwala

    • German Cancer Research Center, Germany, Heidelberg, Germany

      Annika Reinke

    • Amazon (United States), Baltimore, USA

      Diya Wynn

    • Vanderbilt University, Brentwood, USA

      Bennett Landman

    • Johns Hopkins University, Baltimore, USA

      Yiqing Shen

    • University of Surrey, Guildford, UK

      Zhongying Deng

    • University of Pennsylvania, Philadelphia, USA

      Spyridon Bakas

    • University of British Columbia, Vancouver, Canada

      Xiaoxiao Li

    • Imperial College London, London, UK

      Chen Qin

    • Nvidia, Munich, Germany

      Nicola Rieke

    • Nvidia Corporation, Bethesda, USA

      Holger Roth

    • NVIDIA Corporation, Santa Clara, USA

      Daguang Xu

    Bibliographic Information

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

    • Book Subtitle: ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings

    • Editors: M. Emre Celebi, Md Sirajus Salekin, Hyunwoo Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, … Daguang Xu

    • Series Title: Lecture Notes in Computer Science

    • DOI: https://doi.org/10.1007/978-3-031-47401-9

    • 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 2023

    • Softcover ISBN: 978-3-031-47400-2Published: 01 December 2023

    • eBook ISBN: 978-3-031-47401-9Published: 30 November 2023

    • Series ISSN: 0302-9743

    • Series E-ISSN: 1611-3349

    • Edition Number: 1

    • Number of Pages: XXVI, 381

    • Number of Illustrations: 6 b/w illustrations, 107 illustrations in colour

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

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