A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation-Reference-Cited by-同舟云学术

A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation

Published:2024-05 Issue:5 Volume:46 Page:3784-3795
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Fidon Lucas¹^ORCID,Aertsen Michael²^ORCID,Kofler Florian³^ORCID,Bink Andrea⁴^ORCID,David Anna L.⁵^ORCID,Deprest Thomas²^ORCID,Emam Doaa²^ORCID,Guffens Frédéric²^ORCID,Jakab András⁶^ORCID,Kasprian Gregor⁷^ORCID,Kienast Patric⁷^ORCID,Melbourne Andrew¹^ORCID,Menze Bjoern³^ORCID,Mufti Nada¹^ORCID,Pogledic Ivana⁷^ORCID,Prayer Daniela⁷^ORCID,Stuempflen Marlene⁷^ORCID,Van Elslander Esther²,Ourselin Sébastien¹^ORCID,Deprest Jan²^ORCID,Vercauteren Tom¹^ORCID

Affiliation:

1. School of Biomedical Engineering and Imaging Sciences, King's College London, London, U.K.

2. Department of Radiology, University Hospitals Leuven, Leuven, Belgium

3. Department of Informatics, Technical University Munich, Munich, Germany

4. Department of Neuroradiology and Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland

5. Institute for Women's Health, University College London, London, U.K.

6. Center for MR Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland

7. Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10490207/10388220.pdf?arnumber=10388220

Reference55 articles.

1. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

2. 2020 ACR Data Science Institute Artificial Intelligence Survey

3. Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings

4. Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI

5. Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation

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