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Estimating and Improving Fairness with Adversarial Learning
v1v2 (latest)

Estimating and Improving Fairness with Adversarial Learning

7 March 2021
Xiaoxiao Li
Ziteng Cui
Yifan Wu
Li Gu
Tatsuya Harada
    MedIm
ArXiv (abs)PDFHTMLGithub

Papers citing "Estimating and Improving Fairness with Adversarial Learning"

22 / 22 papers shown
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
Kuniko Paxton
Mohammed Naveed Akram
Dhavalkumar Thakker
Y. Papadopoulos
Tanaya Maslekar
148
2
0
31 Aug 2025
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
Kuniko Paxton
Mohammed Naveed Akram
Dhavalkumar Thakker
Y. Papadopoulos
227
2
0
13 Jun 2025
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao
Jinkui Hao
Bo Zhou
404
1
0
20 Dec 2024
Learning Fair Robustness via Domain Mixup
Learning Fair Robustness via Domain MixupAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Meiyu Zhong
Ravi Tandon
OOD
394
2
0
21 Nov 2024
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
BadFair: Backdoored Fairness Attacks with Group-conditioned TriggersConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jiaqi Xue
Qian Lou
Mengxin Zheng
277
3
0
23 Oct 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on
  Skin Lesion Dataset
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
Yi Sheng
Junhuan Yang
Jinyang Li
James Alaina
Xiaowei Xu
Yiyu Shi
Jingtong Hu
Weiwen Jiang
Lei Yang
217
1
0
18 Jul 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the
  Translational and Clinical Integration of Foundational Models
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
Simha Sankar Baradwaj
Destiny Gilliland
Jack Rincon
Henning Hermjakob
Yu Yan
...
Dean Wang
Karol Watson
Alex Bui
Wei Wang
Peipei Ping
422
19
0
18 Jul 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive
  Attributes
Fair Supervised Learning with A Simple Random Sampler of Sensitive AttributesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jinwon Sohn
Qifan Song
Guang Lin
FaML
400
3
0
10 Nov 2023
Bayesian uncertainty-weighted loss for improved generalisability on
  polyp segmentation task
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S Stone
P. E. Chavarrias-Solano
A. Bulpitt
David C. Hogg
Sharib Ali
UQCV
283
1
0
13 Sep 2023
Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Thorsten Kalb
Kaisar Kushibar
C. Cintas
Karim Lekadir
Oliver Díaz
Richard Osuala
203
14
0
18 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and
  deployable artificial intelligence in healthcare
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcareBritish medical journal (BMJ), 2023
Karim Lekadir
Aasa Feragen
Abdul Joseph Fofanah
Alejandro F Frangi
Alena Buyx
...
Yi Zeng
Yunusa G Mohammed
Yves Saint James Aquino
Zohaib Salahuddin
M. P. Starmans
AI4TS
429
312
0
11 Aug 2023
Towards unraveling calibration biases in medical image analysis
Towards unraveling calibration biases in medical image analysis
María Agustina Ricci Lara
Candelaria Mosquera
Enzo Ferrante
Rodrigo Echeveste
202
11
0
09 May 2023
MLHOps: Machine Learning for Healthcare Operations
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MAAI4TSVLM
301
7
0
04 May 2023
An investigation of licensing of datasets for machine learning based on
  the GQM model
An investigation of licensing of datasets for machine learning based on the GQM model
Junyu Chen
Norihiro Yoshida
Hiroaki Takada
208
2
0
24 Mar 2023
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 classificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zikang Xu
Shang Zhao
Quan Quan
Qingsong Yao
S. Kevin Zhou
375
26
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
743
52
0
27 Sep 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive
  Learning
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
373
35
0
22 Aug 2022
Fair Machine Learning in Healthcare: A Review
Fair Machine Learning in Healthcare: A Review
Qizhang Feng
Mengnan Du
Na Zou
Helen Zhou
FaML
501
0
0
29 Jun 2022
RadFusion: Benchmarking Performance and Fairness for Multimodal
  Pulmonary Embolism Detection from CT and EHR
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
Yuyin Zhou
Shih-Cheng Huang
Jason Alan Fries
Alaa Youssef
T. Amrhein
...
Imon Banerjee
D. Rubin
Lei Xing
N. Shah
M. Lungren
259
58
0
23 Nov 2021
On the Fairness of Swarm Learning in Skin Lesion Classification
On the Fairness of Swarm Learning in Skin Lesion Classification
Dian Fan
Yifan Wu
Xiaoxiao Li
202
23
0
24 Sep 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for
  Trustworthy Artificial Intelligence in Medical Imaging
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadira
Richard Osuala
C. Gallin
Noussair Lazrak
Kaisar Kushibar
...
Nickolas Papanikolaou
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
L. Martí-Bonmatí
AI4TS
423
83
0
20 Sep 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
430
67
0
20 Jul 2021
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