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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12445)

Included in the following conference series:

Conference proceedings info: CLIP 2020, ML-CDS 2020.

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Table of contents (13 papers)

  1. CLIP 2020

  2. ML-CDS 2020

Other volumes

  1. Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

Keywords

About this book

This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.

The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Editors and Affiliations

  • IBM Almaden Research Center, San Jose, USA

    Tanveer Syeda-Mahmood, Alexandros Karargyris

  • Aachen University of Applied Sciences, Aachen, Germany

    Klaus Drechsler

  • Tel Aviv University, Ramat Aviv, Israel

    Hayit Greenspan

  • Case Western Reserve University, Cleveland, USA

    Anant Madabhushi

  • Children’s National Hospital, Washington, USA

    Marius George Linguraru, Raj Shekhar

  • Fraunhofer-Institute for Computer Graphics Research (IGD), Darmstadt, Germany

    Cristina Oyarzun Laura, Stefan Wesarg

  • Universitat Pompeu Fabra, Barcelona, Spain

    Miguel Ángel González Ballester

  • Fraunhofer Singapore, Singapore, Singapore

    Marius Erdt

Bibliographic Information

  • Book Title: Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

  • Book Subtitle: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

  • Editors: Tanveer Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-60946-7

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-60945-0Published: 04 October 2020

  • eBook ISBN: 978-3-030-60946-7Published: 03 October 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 138

  • Number of Illustrations: 4 b/w illustrations

  • Topics: Artificial Intelligence, Image Processing and Computer Vision, Computer Appl. in Social and Behavioral Sciences, Computational Biology/Bioinformatics, Database Management

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