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

by Jonghye Woo (Editor), Alessa Hering (Editor), Wilson Silva (Editor), Xiang Li (Editor), Huazhu Fu (Editor)

Overview

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)

Product Details

ISBN-13:	9783031474255
Publisher:	Springer-Verlag New York, LLC
Publication date:	02/02/2024
Series:	Lecture Notes in Computer Science , #14394
Sold by:	Barnes & Noble
Format:	eBook
File size:	63 MB
Note:	This product may take a few minutes to download.

Table of Contents

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.