Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 7th International Workshop, UNSURE...

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Carole H. Sudre Mobarak I. Hoque

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South...

Carole H. Sudre, Mobarak I. Hoque, Raghav Mehta , Cheng Ouyang

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English

Springer Nature Switzerland AG
29 September 2025

Medical imaging; Computing: general; Machine learning; Image processing

Series: Lecture Notes in Computer Science

Summary
Details

This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.

The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.

Edited by: Carole H. Sudre, Mobarak I. Hoque, Raghav Mehta, Cheng Ouyang, Chen Qin
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032065926
ISBN 10: 3032065925
Series: Lecture Notes in Computer Science
Pages: 246
Publication Date: 29 September 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active