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Unsupervised Domain Adaptation for Low-dose CT Reconstruction via
  Bayesian Uncertainty Alignment

Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment

26 February 2023
Kecheng Chen
Jie Liu
Renjie Wan
Victor Ho-Fun Lee
Varut Vardhanabhuti
Hong Yan
Haoliang Li
    OOD
ArXivPDFHTML

Papers citing "Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment"

13 / 13 papers shown
Title
Out of Distribution Data Detection Using Dropout Bayesian Neural
  Networks
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
A. Nguyen
Fred Lu
Gary Lopez Munoz
Edward Raff
Charles K. Nicholas
James Holt
UQCV
48
22
0
18 Feb 2022
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising
  and Lesion Detection
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
Kecheng Chen
Kun Long
Yazhou Ren
Jiayu Sun
X. Pu
MedIm
34
20
0
18 Apr 2021
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
N. Moran
Dan Schmidt
Yu Zhong
Patrick Coady
114
238
0
25 Oct 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
92
1,447
0
17 Jul 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen
Nenggan Zheng
Junsong Yuan
Zhefeng Gong
Changyou Chen
OOD
UQCV
43
50
0
24 Jun 2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy
  Training Samples
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
Dufan Wu
Kuang Gong
Kyungsang Kim
Quanzheng Li
OOD
63
50
0
09 Jun 2019
Modeling Uncertainty with Hedged Instance Embedding
Modeling Uncertainty with Hedged Instance Embedding
Seong Joon Oh
Kevin Patrick Murphy
Jiyan Pan
Joseph Roth
Florian Schroff
Andrew C. Gallagher
UQCV
428
70
0
30 Sep 2018
Unsupervised Domain Adaptation with Adversarial Residual Transform
  Networks
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai
Yuqin Wang
Mengchu Zhou
Lianghua He
GAN
35
89
0
25 Apr 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,481
0
05 Sep 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
352
4,705
0
15 Mar 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
329
4,573
0
13 Nov 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
232
10,247
0
27 Mar 2016
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual
  Image Quality Index
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
Wufeng Xue
Lei Zhang
X. Mou
A. Bovik
53
1,403
0
14 Aug 2013
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