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2008.08837
Cited By
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
20 August 2020
M. Laves
Malte Tolle
T. Ortmaier
UQCV
BDL
MedIm
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Papers citing
"Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior"
18 / 18 papers shown
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
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S. Ruan
Yucheng Xing
Mengling Feng
344
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09 Oct 2023
Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining
International Conference on Intelligent Computing (ICIC), 2023
M. Tong
Xu Yan
Yongzhen Wang
180
0
0
19 Jul 2023
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
Sriram Ravula
Varun Gorti
Bo Deng
Swagato Chakraborty
J. Pingenot
B. Mutnury
D. Wallace
D. Winterberg
Adam R. Klivans
A. Dimakis
224
3
0
06 Jun 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Intelligent Computing (IC), 2023
Luzhe Huang
Jianing Li
Xiaofu Ding
Yijie Zhang
Hanlong Chen
Aydogan Ozcan
UQCV
150
3
0
22 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
IEEE journal of biomedical and health informatics (IEEE JBHI), 2023
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
Matthew S. Rosen
UQCV
OOD
386
2
0
12 May 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
194
58
0
11 Apr 2023
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2023
Yuya Onishi
F. Hashimoto
K. Ote
K. Matsubara
M. Ibaraki
MedIm
187
17
0
27 Feb 2023
Sampling-based inference for large linear models, with application to linearised Laplace
International Conference on Learning Representations (ICLR), 2022
Javier Antorán
Shreyas Padhy
Riccardo Barbano
Eric T. Nalisnick
David Janz
José Miguel Hernández-Lobato
BDL
258
18
0
10 Oct 2022
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Malte Tolle
Ullrich Kothe
F. André
B. Meder
Sandy Engelhardt
168
5
0
29 Jul 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hyungjin Chung
Eunha Lee
Jong Chul Ye
DiffM
MedIm
301
150
0
23 Mar 2022
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior
Javier Antorán
Riccardo Barbano
Johannes Leuschner
José Miguel Hernández-Lobato
Bangti Jin
UQCV
322
10
0
28 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
195
10
0
02 Feb 2022
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Zhuoxu Cui
Jing Cheng
Qi Zhu
Yuanyuan Liu
Seng Jia
...
Ziwen Ke
Wenqi Huang
Haifeng Wang
Yanjie Zhu
Dong Liang
141
8
0
18 Dec 2021
TransMorph: Transformer for unsupervised medical image registration
Junyu Chen
Eric C. Frey
Yufan He
W. Paul Segars
Ye Li
Yong Du
ViT
MedIm
698
479
0
19 Nov 2021
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning
Junyu Chen
E. Asma
Chung Chan
172
5
0
29 Sep 2021
Posterior Temperature Optimization in Variational Inference for Inverse Problems
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
273
3
0
11 Jun 2021
On hallucinations in tomographic image reconstruction
IEEE Transactions on Medical Imaging (TMI), 2020
Sayantan Bhadra
Varun A. Kelkar
F. Brooks
M. Anastasio
376
128
0
01 Dec 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems
SIAM Review (SIAM Rev.), 2020
N. Gottschling
Vegard Antun
A. Hansen
Ben Adcock
415
53
0
05 Jan 2020
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