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Calibrating Ensembles for Scalable Uncertainty Quantification in Deep
  Learning-based Medical Segmentation

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation

20 September 2022
Thomas Buddenkotte
L. E. Sanchez
Mireia Crispin-Ortuzar
Ramona Woitek
C. McCague
James D. Brenton
Ozan Oktem
Evis Sala
L. Rundo
    UQCV
ArXivPDFHTML

Papers citing "Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation"

3 / 3 papers shown
Title
Robust and Efficient Medical Imaging with Self-Supervision
Robust and Efficient Medical Imaging with Self-Supervision
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
...
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
OOD
71
58
0
19 May 2022
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
226
513
0
11 Feb 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
72
25
0
01 Jan 2021
1