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)
Edited by:
M. Emre Celebi, Md Sirajus Salekin, Hyunwoo Kim, Shadi Albarqouni, Catarina Barata Imprint: Springer International Publishing AG Country of Publication: Switzerland Edition: 1st ed. 2023 Volume: 14393 Dimensions:
Height: 235mm,
Width: 155mm,
Weight: 623g ISBN:9783031474002 ISBN 10: 3031474007 Series:Lecture Notes in Computer Science Pages: 381 Publication Date:01 December 2023 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active
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.