Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops

Name: Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops
Brand: Springer, Berlin, Springer, Springer Nature Switzerland
SKU: 152701265
Price: 72.59 EUR
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MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings (Sprache: Englisch)

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Produktinformationen zu „Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops “

Klappentext zu „Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops “

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops.

The papers of the workshops are presenting the topical sections:

Eighth International Skin Imaging Collaboration Workshop (ISIC 2023)

First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop

First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023)

Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023)

First MICCAI Workshop on Time-Series Data Analytics and Learning

First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF)

AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023)

Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023)

Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

Inhaltsverzeichnis zu „Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops “

Artificial Intelligence.- Computer Vision.- Machine Learning.- Medical Imaging.- Explainability.- Privacy-Preserving Learning.- Federated Learning.- Distributed Learning.- Dermatology.- Skin.- Radiology.- Health Informatics.- Radiomics.- Video.- Time Series Data.- Physiological Data.- Longitudinal Data.- Data Fusion.- Motion Tracking.

Bibliographische Angaben

2024, 1st ed. 2023, XXX, 381 Seiten, 113 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
Herausgegeben: Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
Verlag: Springer, Berlin
ISBN-10: 3031474244
ISBN-13: 9783031474248

Sprache:

Englisch

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