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

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

doi:10.1007/978-3-030-60946-7

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

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

Department of Bio-Medical Engineering

Tel Aviv University

Research output: Book/Report › Book › peer-review

Abstract

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.

Original language	English
Place of Publication	Cham
Number of pages	138
Edition	1st ed. 2020
ISBN (Electronic)	3030609464, 9783030609467
DOIs	https://doi.org/10.1007/978-3-030-60946-7
State	Published - 2020

Publication series

Name	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Publisher	Springer International Publishing; Imprint: Springer
Volume	12445

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 17 Partnerships for the Goals

ULI publications

uli
AI (Artificial intelligence)
Application computer programs
Application computer software
Application software
Applications software
Apps (Computer software)
Artificial intelligence
Artificial intelligence -- Videorecordings
Artificial thinking
Bio-informatics
Bioinformatics
Biological informatics
DBMS (Computer science)
Data base management
Database management
Electronic brains -- Artificial intelligence
Generalized data management systems
Intellectronics -- Artificial intelligence
Intelligence, Artificial
Intelligent machines -- Artificial intelligence
Machine intelligence
Optical computing
Optical data processing
Systems, Database management
Systems, Generalized database management
Thinking, Artificial
Visual data processing
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Drechsler, K., Erdt, M., González Ballester, M. Á., Greenspan, H., Karargyris, A., Linguraru, M. G., Madabhushi, A., Oyarzun Laura, C., Shekhar, R., Syeda-Mahmood, T., & Wesarg, S. (Eds.) (2020). 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. (1st ed. 2020 ed.) (Image Processing, Computer Vision, Pattern Recognition, and Graphics; Vol. 12445). https://doi.org/10.1007/978-3-030-60946-7

Drechsler, Klaus (Editor) ; Erdt, Marius (Editor) ; González Ballester, Miguel Ángel (Editor) et al. / 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. 1st ed. 2020 ed. Cham, 2020. 138 p. (Image Processing, Computer Vision, Pattern Recognition, and Graphics).

@book{b67e2e957c6541c8bda1f887255e9a7b,

title = "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",

abstract = "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.",

editor = "Klaus Drechsler and Marius Erdt and {Gonz{\'a}lez Ballester}, {Miguel {\'A}ngel} and Hayit Greenspan and Alexandros Karargyris and Linguraru, {Marius George} and Anant Madabhushi and {Oyarzun Laura}, Cristina and Raj Shekhar and Tanveer Syeda-Mahmood and Stefan Wesarg",

note = "Springer eBooks",

year = "2020",

doi = "10.1007/978-3-030-60946-7",

language = "الإنجليزيّة",

series = "Image Processing, Computer Vision, Pattern Recognition, and Graphics",

publisher = "Springer International Publishing; Imprint: Springer",

edition = "1st ed. 2020",

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Drechsler, K, Erdt, M, González Ballester, MÁ, Greenspan, H, Karargyris, A, Linguraru, MG, Madabhushi, A, Oyarzun Laura, C, Shekhar, R, Syeda-Mahmood, T & Wesarg, S (eds) 2020, 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. Image Processing, Computer Vision, Pattern Recognition, and Graphics, vol. 12445, 1st ed. 2020 edn, Cham. https://doi.org/10.1007/978-3-030-60946-7

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. / Drechsler, Klaus (Editor); Erdt, Marius (Editor); González Ballester, Miguel Ángel (Editor) et al.
1st ed. 2020 ed. Cham, 2020. 138 p. (Image Processing, Computer Vision, Pattern Recognition, and Graphics; Vol. 12445).

Research output: Book/Report › Book › peer-review

TY - BOOK

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A2 - Greenspan, Hayit

A2 - Karargyris, Alexandros

A2 - Linguraru, Marius George

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AB - 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.

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CY - Cham

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Drechsler K, (ed.), Erdt M, (ed.), González Ballester MÁ, (ed.), Greenspan H, (ed.), Karargyris A, (ed.), Linguraru MG, (ed.) et al. 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. 1st ed. 2020 ed. Cham, 2020. 138 p. (Image Processing, Computer Vision, Pattern Recognition, and Graphics). doi: 10.1007/978-3-030-60946-7