A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation
Fidon, Lucas; Aertsen, Michael; Kofler, Florian; Bink, Andrea; David, Anna L; Deprest, Thomas; Emam, Doaa; Guffens, Frédéric; Jakab, András; Kasprian, Gregor; Kienast, Patric; Melbourne, Andrew; Menze, Bjoern; Mufti, Nada; Pogledic, Ivana; Prayer, Daniela; Stuempflen, Marlene; Van Elslander, Esther; Ourselin, Sébastien; Deprest, Jan; Vercauteren, Tom (2024). A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5):3784-3795.
Additional indexing
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 04 Faculty of Medicine > University Children's Hospital Zurich > Medical Clinic
04 Faculty of Medicine > University Hospital Zurich > Clinic for Neuroradiology |
| Dewey Decimal Classification: | 610 Medicine & health |
| Scopus Subject Areas: | Physical Sciences > Software
Physical Sciences > Computer Vision and Pattern Recognition Physical Sciences > Computational Theory and Mathematics Physical Sciences > Artificial Intelligence Physical Sciences > Applied Mathematics |
| Uncontrolled Keywords: | Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Software |
| Language: | English |
| Date: | May 2024 |
| Deposited On: | 26 Jan 2024 09:19 |
| Last Modified: | 28 Dec 2024 04:42 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| ISSN: | 0162-8828 |
| OA Status: | Closed |
| Publisher DOI: | https://doi.org/10.1109/tpami.2023.3346330 |
| PubMed ID: | 38198270 |
Permanent URL
https://doi.org/10.5167/uzh-253939
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Fidon, Lucas