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A Dempster-Shafer approach to trustworthy AI with application to fetal
  brain MRI segmentation
v1v2v3v4 (latest)

A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
5 April 2022
Lucas Fidon
Michael Aertsen
Florian Kofler
A. Bink
A. David
Thomas Deprest
Doaa Emam
Frédéric Guffens
András Jakab
Gregor Kasprian
P. Kienast
Andrew Melbourne
Bjoern Menze
Nada Mufti
I. Pogledić
Daniela Prayer
Marlene Stuempflen
Esther Van Elslander
Sébastien Ourselin
Jan Deprest
Tom Vercauteren
ArXiv (abs)PDFHTML

Papers citing "A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation"

8 / 8 papers shown
Title
Governable AI: Provable Safety Under Extreme Threat Models
Governable AI: Provable Safety Under Extreme Threat Models
Donglin Wang
Weiyun Liang
Chunyuan Chen
Jing Xu
Yulong Fu
36
1
0
28 Aug 2025
Trusted Fake Audio Detection Based on Dirichlet Distribution
Trusted Fake Audio Detection Based on Dirichlet Distribution
Chi Ding
Junxiao Xue
Cong Wang
Hao Zhou
146
0
0
03 Jun 2025
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and RegulationsICT for Sustainability (ICT4S), 2025
Ashmita Sampatsing
Sophie Vos
Emma Beauxis-Aussalet
Justus Bogner
286
1
0
12 May 2025
Feature Fusion for Improved Classification: Combining Dempster-Shafer
  Theory and Multiple CNN Architectures
Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures
Ayyub Alzahem
W. Boulila
Maha Driss
Anis Koubaa
166
4
0
23 May 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
295
44
0
09 Oct 2023
Framing image registration as a landmark detection problem for
  label-noise-aware task representation (HitR)
Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)
Diana Waldmannstetter
Ivan Ezhov
Benedikt Wiestler
Francesco Campi
Ivan Kukuljan
...
Daniel Rueckert
Rolf A. Heckemann
Marie Piraud
Bjoern Menze
Florian Kofler
117
0
0
31 Jul 2023
Primitive Simultaneous Optimization of Similarity Metrics for Image
  Registration
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration
Diana Waldmannstetter
Benedikt Wiestler
Julian Schwarting
Ivan Ezhov
M. Metz
...
Jan S. Kirschke
Rolf A. Heckemann
Marie Piraud
Bjoern Menze
Florian Kofler
122
0
0
04 Apr 2023
Distributionally Robust Deep Learning using Hardness Weighted Sampling
Distributionally Robust Deep Learning using Hardness Weighted SamplingMachine Learning for Biomedical Imaging (MLBI), 2020
Lucas Fidon
Michael Aertsen
Thomas Deprest
Doaa Emam
Frédéric Guffens
...
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Vercauteren
OOD
244
10
0
08 Jan 2020
1