Raghav Mehta – författare & böcker

Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Häftad

Del 14291 - Lecture Notes in Computer Science

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

AvCarole H. Sudre,Christian F. Baumgartnerm. fl.

Häftad, Engelska, 2023

728 kr

Skickas inom 5-8 vardagar

This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.

William M. Wells, Chen Qin, Raghav Mehta, Adrian Dalca, Christian F. Baumgartner, Carole H. Sudre - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, E-bok

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

AvWilliam M. Wells,Chen Qinm. fl.

E-bok

Engelska, 2023

865 kr

Läs direkt efter köp

This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.

Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Häftad

Del 15167 - Lecture Notes in Computer Science

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

AvCarole H. Sudre,Raghav Mehtam. fl.

Häftad, Engelska, 2024

731 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions.

William M. Wells, Marianne Rakic, Chen Qin, Cheng Ouyang, Raghav Mehta, Carole H. Sudre - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, E-bok

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

AvWilliam M. Wells,Marianne Rakicm. fl.

E-bok

Engelska, 2024

878 kr

Läs direkt efter köp

This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.

The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.

Carole H. Sudre, Mobarak I. Hoque, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Häftad

Del 16166 - Lecture Notes in Computer Science

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

AvCarole H. Sudre,Mobarak I. Hoquem. fl.

Häftad, Engelska, 2025

650 kr

Skickas inom 5-8 vardagar

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.

William M. Wells, Marianne Rakic, Chen Qin, Cheng Ouyang, Raghav Mehta, Mobarak I. Hoque, Carole H. Sudre - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, E-bok

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

AvWilliam M. Wells,Marianne Rakicm. fl.

E-bok

Engelska, 2025

786 kr

Läs direkt efter köp

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.

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Raghav Mehta – författare

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

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