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Heteroscedastic Uncertainty Estimation Framework for Unsupervised
  Registration

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

1 December 2023
Xiaoran Zhang
Daniel H. Pak
S. Ahn
Xiaoxiao Li
Chenyu You
Lawrence H. Staib
Albert J Sinusas
Alex Wong
James S. Duncan
    UQCV
ArXivPDFHTML

Papers citing "Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration"

6 / 6 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
79
0
0
04 May 2025
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes
Anna Shopova
Cristoph Lippert
Leslee J. Shaw
Eugenia Alleva
47
0
0
31 Mar 2025
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Xiaoling Hu
Karthik Gopinath
Peirong Liu
Malte Hoffmann
Koen van Leemput
O. Puonti
J. Iglesias
OOD
UQCV
38
0
0
11 Oct 2024
Learning correspondences of cardiac motion from images using
  biomechanics-informed modeling
Learning correspondences of cardiac motion from images using biomechanics-informed modeling
Xiaoran Zhang
Chenyu You
S. Ahn
Juntang Zhuang
Lawrence H. Staib
James Duncan
34
12
0
01 Sep 2022
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH
3DPC
66
128
0
05 Jan 2021
HyperMorph: Amortized Hyperparameter Learning for Image Registration
HyperMorph: Amortized Hyperparameter Learning for Image Registration
Andrew Hoopes
Malte Hoffmann
Bruce Fischl
John Guttag
Adrian V. Dalca
32
128
0
04 Jan 2021
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