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Evaluating subgroup disparity using epistemic uncertainty in mammography

Evaluating subgroup disparity using epistemic uncertainty in mammography

6 July 2021
Charles Lu
A. Lemay
K. Hoebel
Jayashree Kalpathy-Cramer
    UQCV
    UD
ArXivPDFHTML

Papers citing "Evaluating subgroup disparity using epistemic uncertainty in mammography"

8 / 8 papers shown
Title
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for
  Equitable Skin Analysis
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis
Anshu Pundhir
Balasubramanian Raman
Pravendra Singh
42
0
0
16 May 2024
FairAdaBN: Mitigating unfairness with adaptive batch normalization and
  its application to dermatological disease classification
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
Zikang Xu
Shang Zhao
Quan Quan
Qingsong Yao
S. Kevin Zhou
46
13
0
15 Mar 2023
Addressing Fairness Issues in Deep Learning-Based Medical Image
  Analysis: A Systematic Review
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Zikang Xu
Jun Li
Yongshuo Zong
Han Li
Qingsong Yao
S. Kevin Zhou
54
15
0
27 Sep 2022
Fair Machine Learning in Healthcare: A Review
Fair Machine Learning in Healthcare: A Review
Qizhang Feng
Mengnan Du
Na Zou
Xia Hu
FaML
43
0
0
29 Jun 2022
Deploying clinical machine learning? Consider the following...
Deploying clinical machine learning? Consider the following...
Charles Lu
Kenglun Chang
Praveer Singh
S. Pomerantz
S. Doyle
Sujay S Kakarmath
Christopher P. Bridge
Jayashree Kalpathy-Cramer
54
4
0
14 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging
Fair Conformal Predictors for Applications in Medical Imaging
Charles Lu
A. Lemay
Ken Chang
K. Hoebel
Jayashree Kalpathy-Cramer
MedIm
22
67
0
09 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 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
289
9,167
0
06 Jun 2015
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