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Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing
  Methods

Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods

26 July 2022
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
ArXivPDFHTML

Papers citing "Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods"

14 / 14 papers shown
Title
Bias Assessment and Data Drift Detection in Medical Image Analysis: A
  Survey
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Andrea Prenner
Bernhard Kainz
35
0
0
26 Sep 2024
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning
Yuyang Xue
Junyu Yan
Raman Dutt
Fasih Haider
Jingshuai Liu
Steven G. McDonagh
Sotirios A. Tsaftaris
32
1
0
13 Aug 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
FairCLIP: Harnessing Fairness in Vision-Language Learning
Yan Luo
Minfei Shi
Muhammad Osama Khan
Muhammad Muneeb Afzal
Hao Huang
...
Luo Song
Ava Kouhana
T. Elze
Yi Fang
Mengyu Wang
VLM
40
30
0
29 Mar 2024
Looking Beyond What You See: An Empirical Analysis on Subgroup
  Intersectional Fairness for Multi-label Chest X-ray Classification Using
  Social Determinants of Racial Health Inequities
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities
Dana Moukheiber
S. Mahindre
L. Moukheiber
Mira Moukheiber
Mingchen Gao
59
2
0
27 Mar 2024
Benchmarking bias: Expanding clinical AI model card to incorporate bias
  reporting of social and non-social factors
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
C. A. M. Heming
Mohamed Abdalla
Shahram Mohanna
Monish Ahluwalia
Linglin Zhang
...
MinJae Woo
Benjamin A. Fine
J. Gichoya
Leo Anthony Celi
Laleh Seyyed-Kalantari
CML
20
2
0
21 Nov 2023
Towards objective and systematic evaluation of bias in artificial
  intelligence for medical imaging
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
Emma A. M. Stanley
Raissa Souza
Anthony J. Winder
Vedant Gulve
Kimberly Amador
Matthias Wilms
Nils D. Forkert
29
11
0
03 Nov 2023
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in
  CXR Embeddings
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
CML
20
0
0
02 Nov 2023
Improving Fairness in AI Models on Electronic Health Records: The Case
  for Federated Learning Methods
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
Raphael Poulain
Mirza Farhan Bin Tarek
Rahmatollah Beheshti
FedML
19
20
0
19 May 2023
A Fair Loss Function for Network Pruning
A Fair Loss Function for Network Pruning
Robbie Meyer
Alexander Wong
CVBM
21
3
0
18 Nov 2022
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
46
14
0
27 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Ben Glocker
Charles Jones
Mélanie Roschewitz
S. Winzeck
20
35
0
07 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
33
159
0
14 Jul 2022
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
261
36,371
0
25 Aug 2016
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