ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.03343
  4. Cited By
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image
  Enhancement

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

7 October 2021
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
    MedIm
ArXivPDFHTML

Papers citing "Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement"

15 / 15 papers shown
Title
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
Ciaran Bench
Emir Ahmed
Spencer A. Thomas
MedIm
36
0
0
29 Jan 2025
Uncertainty-Aware Regularization for Image-to-Image Translation
Uncertainty-Aware Regularization for Image-to-Image Translation
Anuja Vats
I. Farup
Marius Pedersen
Kiran Raja
MedIm
71
0
0
24 Nov 2024
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with
  Multi-Axis Fusion
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
Ivo M. Baltruschat
Parvaneh Janbakhshi
Melanie Dohmen
Matthias Lenga
MedIm
13
2
0
20 Nov 2023
Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time
  Image Deraining
Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining
M. Tong
Xu Yan
Yongzhen Wang
13
0
0
19 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Uddeshya Upadhyay
Shyamgopal Karthik
Massimiliano Mancini
Zeynep Akata
MLLM
VLM
11
3
0
01 Jul 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense
  Active Learning for Super-resolution
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Vikrant Rangnekar
Uddeshya Upadhyay
Zeynep Akata
Biplab Banerjee
19
4
0
27 May 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Uddeshya Upadhyay
Jae Myung Kim
Cordelia Schmidt
Bernhard Schölkopf
Zeynep Akata
BDL
UQCV
13
1
0
21 Feb 2023
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen
  Neural Networks
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Uddeshya Upadhyay
Shyamgopal Karthik
Yanbei Chen
Massimiliano Mancini
Zeynep Akata
UQCV
BDL
10
22
0
14 Jul 2022
Unsupervised Joint Image Transfer and Uncertainty Quantification Using
  Patch Invariant Networks
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks
Christoph Angermann
Markus Haltmeier
Ahsan Raza Siyal
28
3
0
09 Jul 2022
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image
  Segmentation
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Xu Zheng
Chong Fu
Haoyu Xie
Jialei Chen
Xingwei Wang
Chiu-Wing Sham
OOD
10
37
0
23 Nov 2021
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent
  Variable Model
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang
Yuchao Dai
Mehrtash Harandi
Yiran Zhong
Nick Barnes
Richard I. Hartley
UQCV
11
1
0
22 Nov 2021
Robustness via Uncertainty-aware Cycle Consistency
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay
Yanbei Chen
Zeynep Akata
11
21
0
24 Oct 2021
Adversarial training with cycle consistency for unsupervised
  super-resolution in endomicroscopy
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
D. Ravì
A. Szczotka
Stephen P. Pereira
Tom Kamiel Magda Vercauteren
SupR
MedIm
27
49
0
21 Jan 2019
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1