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Multiscale Multimodal Medical Imaging

Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Xiang Li

    1. Massachusetts General Hospital, Boston, USA

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  2. Jinglei Lv

    1. University of Sydney, Sydney, Australia

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  3. Yuankai Huo

    1. Vanderbilt University, Nashville, USA

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  4. Bin Dong

    1. Peking University, Beijing, China

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  5. Richard M. Leahy

    1. University of Southern California, Los Angeles, USA

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  6. Quanzheng Li

    1. Massachusetts General Hospital, Boston, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13594)

Included in the following conference series:

Conference proceedings info: MMMI 2022.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-viii
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  2. \(\mathrm {M^{2}F}\): A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis

    • Zilin Lu, Mengkang Lu, Yong Xia
    Pages 1-10

  3. Visual Modalities Based Multimodal Fusion for Surgical Phase Recognition

    • Bogyu Park, Hyeongyu Chi, Bokyung Park, Jiwon Lee, Sunghyun Park, Woo Jin Hyung et al.
    Pages 11-23

  4. Cross-Scale Attention Guided Multi-instance Learning for Crohn’s Disease Diagnosis with Pathological Images

    • Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron et al.
    Pages 24-33

  5. Vessel Segmentation via Link Prediction of Graph Neural Networks

    • Hao Yu, Jie Zhao, Li Zhang
    Pages 34-43

  6. A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset

    • Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao et al.
    Pages 44-53

  7. Liver Segmentation Quality Control in Multi-sequence MR Studies

    • Yi-Qing Wang, Giovanni Palma
    Pages 54-62

  8. Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI

    • Hayato Itoh, Tao Hu, Masahiro Oda, Shinji Saiki, Koji Kamagata, Nobutaka Hattori et al.
    Pages 63-75

  9. Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation

    • Abel A. Reyes, Sidike Paheding, Makarand Deo, Michel Audette
    Pages 76-88

  10. Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study

    • Xiang Xiang, Zihan Zhang, Xuehua Peng, Jianbo Shao
    Pages 89-97

  11. Coordinate Translator for Learning Deformable Medical Image Registration

    • Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L. Prince, Aaron Carass
    Pages 98-109

  12. Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation

    • Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
    Pages 110-120

  13. Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans

    • Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu et al.
    Pages 121-129

  14. Back Matter

    Pages 131-131
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  1. Multiscale Multimodal Medical Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the Third International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2022, held in conjunction with MICCAI 2022 in singapore, in September 2022.

The 12 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning.

Editors and Affiliations

  • Massachusetts General Hospital, Boston, USA

    Xiang Li, Quanzheng Li

  • University of Sydney, Sydney, Australia

    Jinglei Lv

  • Vanderbilt University, Nashville, USA

    Yuankai Huo

  • Peking University, Beijing, China

    Bin Dong

  • University of Southern California, Los Angeles, USA

    Richard M. Leahy

Bibliographic Information

  • Book Title: Multiscale Multimodal Medical Imaging

  • Book Subtitle: Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Editors: Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-18814-5

  • 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 2022

  • Softcover ISBN: 978-3-031-18813-8Published: 14 October 2022

  • eBook ISBN: 978-3-031-18814-5Published: 13 October 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 131

  • Number of Illustrations: 4 b/w illustrations, 42 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Computing Milieux, Computer Applications

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