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2102.06665
Cited By
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
12 February 2021
Dominik Narnhofer
Alexander Effland
Erich Kobler
Kerstin Hammernik
Florian Knoll
T. Pock
UQCV
BDL
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Papers citing
"Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction"
23 / 23 papers shown
Title
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
29
0
0
14 May 2025
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz
Arjun D Desai
Reinhard Heckel
Tolga Çukur
Akshay Chaudhari
B. Hargreaves
29
0
0
04 May 2025
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks
Sonia Laguna
Lin Zhang
Can Deniz Bezek
Monika Farkas
Dieter Schweizer
Rahel A. Kubik-Huch
O. Goksel
OOD
30
0
0
15 Apr 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
Zihao He
Shengchuan Zhang
R. Hu
Yunhang Shen
Yuhui Zhang
DiffM
57
0
0
04 Apr 2025
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction?
Luca Trautmann
Peter Wijeratne
Itamar Ronen
Ivor Simpson
61
0
0
13 Mar 2025
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
Haozhong Sun
Zhongsen Li
Chenlin Du
Haokun Li
Yajie Wang
Huijun Chen
57
0
0
28 Feb 2025
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
39
2
0
28 May 2024
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled
Moti Freiman
UQCV
37
3
0
06 Apr 2024
R2D2 image reconstruction with model uncertainty quantification in radio astronomy
Amir Aghabiglou
Chung San Chu
A. Dabbech
Yves Wiaux
29
0
0
26 Mar 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
38
20
0
09 Oct 2023
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
Leonhard F. Feiner
M. Menten
Kerstin Hammernik
Paul Hager
Wenqi Huang
Rafael Azevedo
R. Braren
Georgios Kaissis
MedIm
11
3
0
28 Sep 2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction
Paul Fischer
Thomas Kustner
Christian F. Baumgartner
29
8
0
04 Aug 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
M. Rosen
UQCV
OOD
15
2
0
12 May 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification
Mevan Ekanayake
Kamlesh Pawar
Gary Egan
Zhaolin Chen
UQCV
13
0
0
28 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
43
86
0
16 Feb 2023
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
Dominik Narnhofer
Andreas Habring
M. Holler
T. Pock
25
14
0
23 Dec 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINN
MedIm
AI4CE
24
69
0
23 Mar 2022
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models
Guanxiong Luo
Moritz Blumenthal
Martin Heide
M. Uecker
DiffM
MedIm
14
69
0
03 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
35
10
0
02 Feb 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Qing Lyu
C. Whitlow
Ge Wang
UQCV
BDL
10
1
0
20 Jan 2022
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
47
41
0
17 Sep 2021
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Mahmut Yurt
Muzaffer Özbey
S. Dar
Berk Tınaz
K. Oguz
Tolga Çukur
MedIm
33
29
0
27 Nov 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1