Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12445)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): CLIP: Workshop on Clinical Image-Based Procedures, ML-CDS: International Workshop on Multimodal Learning for Clinical Decision Support
Conference proceedings info: CLIP 2020, ML-CDS 2020.
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Table of contents (13 papers)
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Front Matter
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CLIP 2020
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Front Matter
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ML-CDS 2020
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Front Matter
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Back Matter
Other Volumes
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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures
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
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IBM Almaden Research Center, San Jose, USA
Tanveer Syeda-Mahmood, Alexandros Karargyris
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Aachen University of Applied Sciences, Aachen, Germany
Klaus Drechsler
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Tel Aviv University, Ramat Aviv, Israel
Hayit Greenspan
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Case Western Reserve University, Cleveland, USA
Anant Madabhushi
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Children’s National Hospital, Washington, USA
Marius George Linguraru, Raj Shekhar
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Fraunhofer-Institute for Computer Graphics Research (IGD), Darmstadt, Germany
Cristina Oyarzun Laura, Stefan Wesarg
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Universitat Pompeu Fabra, Barcelona, Spain
Miguel Ángel González Ballester
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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
