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Multimodal Learning for Clinical Decision Support

11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Tanveer Syeda-Mahmood

    1. IBM Research - Almaden, San Jose, USA

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  2. Xiang Li

    1. Harvard Medical School, Boston, USA

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  3. Anant Madabhushi

    1. Case Western Reserve University, Cleveland, USA

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  4. Hayit Greenspan

    1. Tel Aviv University, Tel Aviv, Israel

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  5. Quanzheng Li

    1. Harvard Medical School, Boston, USA

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  6. Richard Leahy

    1. University of Southern California, Los Angeles, USA

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  7. Bin Dong

    1. Peking University, Beijing, China

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  8. Hongzhi Wang

    1. IBM Research - Almaden, San Jose, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13050)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ML-CDS 2021.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-viii
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  2. From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data

    • Kaitlin M. Stouffer, Zhenzhen Wang, Eileen Xu, Karl Lee, Paige Lee, Michael I. Miller et al.
    Pages 1-11

  3. Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification

    • Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric Aboagye, Ben Glocker, Andrea Rockall
    Pages 12-21

  4. Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support

    • Sobhan Moazemi, Markus Essler, Thomas Schultz, Ralph A. Bundschuh
    Pages 22-35

  5. A Federated Multigraph Integration Approach for Connectional Brain Template Learning

    • Hızır Can Bayram, Islem Rekik
    Pages 36-47

  6. SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis

    • Mafe Roa, Laura Daza, Maria Escobar, Angela Castillo, Pablo Arbelaez
    Pages 48-58

  7. Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT

    • Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior et al.
    Pages 59-68

  8. Feature Selection for Privileged Modalities in Disease Classification

    • Winston Zhang, Najla Al Turkestani, Jonas Bianchi, Celia Le, Romain Deleat-Besson, Antonio Ruellas et al.
    Pages 69-80

  9. Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images

    • Romain Deleat-Besson, Celia Le, Winston Zhang, Najla Al Turkestani, Lucia Cevidanes, Jonas Bianchi et al.
    Pages 81-92

  10. Structure and Feature Based Graph U-Net for Early Alzheimer’s Disease Prediction

    • Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei
    Pages 93-104

  11. A Method for Predicting Alzheimer’s Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction

    • Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei
    Pages 105-115

  12. Back Matter

    Pages 117-117
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  1. Multimodal Learning for Clinical Decision Support

Keywords

About this book

This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic.

The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

Editors and Affiliations

  • IBM Research - Almaden, San Jose, USA

    Tanveer Syeda-Mahmood, Hongzhi Wang

  • Harvard Medical School, Boston, USA

    Xiang Li, Quanzheng Li

  • Case Western Reserve University, Cleveland, USA

    Anant Madabhushi

  • Tel Aviv University, Tel Aviv, Israel

    Hayit Greenspan

  • University of Southern California, Los Angeles, USA

    Richard Leahy

  • Peking University, Beijing, China

    Bin Dong

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