Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings

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)

Sommario

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.

Dettagli sul prodotto

• Con la collaborazione di: Christian F. Baumgartner (Editore), Regina Beets Tan (Editore), Hao Chen (Editore), Li Cheng (Editore), Valentina Corbetta (Editore), Max De Grauw (Editore), Bin Dong (Editore), Huazhu Fu (Editore), Alessa Hering (Editore), Yuankai Huo (Editore), Elmar Kotter (Editore), Richard Leahy (Editore), Quanzheng Li (Editore), Xiang Li (Editore), Xiaomeng Li (Editore), Xiaofeng Liu (Editore), Jinglei Lv (Editore), Dwarikanath Mahapatra (Editore), Tejas S. Mathai (Editore), Pritam Mukherjee (Editore), Caroline Petitjean (Editore), Benoît Presles (Editore), Sanjay Purushotham (Editore), Mauricio Reyes (Editore), Wilson Silva (Editore), Wilson Silva et al (Editore), Jonghye Woo (Editore), Fangxu Xing (Editore), Xinxing Xu (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 03.02.2024
• EAN: 9783031474248
• ISBN: 978-3-0-3147424-8
• Pagine: 381
• Dimensioni: 155 mm x 22 mm x 235 mm
• Illustrazioni: XXX, 381 p. 121 illus., 113 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo