FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in
Medical Image Analysis

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FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

International Conference on Learning Representations (ICLR), 2023

8 October 2023

Sotirios A. Tsaftaris

Timothy M. Hospedales

ArXiv (abs)PDF HTML HuggingFace (1 upvotes)Github (10★)

Papers citing "FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis"

17 / 17 papers shown

Title
Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations Zhijian Yang Noel DSouza István Megyeri Xiaojian Xu Amin Honarmandi Shandiz ... Bharadwaj Swaninathan Lei Wu Parminder Bhatia Taha A. Kass-Hout Erhan Bas MedIm 56 0 0 25 Sep 2025
SWiFT: Soft-Mask Weight Fine-tuning for Bias MitigationMachine Learning for Biomedical Imaging (MLBI), 2025 Junyu Yan Feng Chen Yuyang Xue Yuning Du Konstantinos Vilouras Sotirios A. Tsaftaris Steven McDonagh 189 0 0 26 Aug 2025
Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models Yuexuan Xia Benteng Ma Jiang He Zhiyong Wang Qi Dou Yong Xia VLM 145 0 0 26 Aug 2025
Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging Filippo Ruffini Elena Mulero Ayllón Linlin Shen Paolo Soda V. Guarrasi LM&MA 272 4 0 23 Jun 2025
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak Oscar Jimenez-del-Toro Maíra Fatoretto Lilian Berton André Anjos FaML 312 0 0 14 Mar 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints Parameswaran Kamalaruban Mark Anderson Stuart Burrell Maeve Madigan Piotr Skalski David Sutton 181 1 0 07 Mar 2025
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 255 1 0 29 Oct 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Rohan Sukumaran Aarash Feizi Adriana Romero-Sorian G. Farnadi 226 3 0 22 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024 Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 628 5 0 05 Oct 2024
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning Yuyang Xue Junyu Yan Raman Dutt Fasih Haider Jingshuai Liu Jingyu Sun Sotirios A. Tsaftaris 201 6 0 13 Aug 2024
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 250 3 0 30 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin Zikang Xu Yuan Zhong Qiongsong Yao Qi Dou S. Kevin Zhou Xiaoxiao Li VLM 353 39 0 01 Jul 2024
Embedded Visual Prompt Tuning Wenqiang Zu Shenghao Xie Qing Zhao Guoqi Li Lei Ma VLM MedIm 805 17 0 01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 250 8 0 30 Jun 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 388 2 0 29 May 2024
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications Charith Chandra Sai Balne S. Bhaduri Tamoghna Roy Vinija Jain Vasu Sharma 309 33 0 21 Apr 2024
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 559 36 0 27 Sep 2022