Cover Image

Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Masroor, Milad, Nguyen, Cuong, Wells, Kevin, Carneiro, Gustavo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging
by: Masroor, Milad, et al.
Published: (2024)

Learning to Complement with Multiple Humans
by: Zhang, Zheng, et al.
Published: (2023)

Coverage-Constrained Human-AI Cooperation with Multiple Experts
by: Zhang, Zheng, et al.
Published: (2024)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
by: Garg, Arpit, et al.
Published: (2023)

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
by: Gao, Yicheng, et al.
Published: (2024)

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
by: Jin, Ruinan, et al.
Published: (2024)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
by: Garg, Arpit, et al.
Published: (2023)

Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition
by: Neto, Pedro C., et al.
Published: (2025)

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
by: Dutt, Raman, et al.
Published: (2023)

Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
by: Xu, Zikang, et al.
Published: (2022)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
by: Wu, Xuyang, et al.
Published: (2024)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)

Investigating Bias and Fairness in Appearance-based Gaze Estimation
by: Akgül, Burak, et al.
Published: (2026)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
by: Garg, Arpit, et al.
Published: (2025)

Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges
by: Lubonja, Ariel, et al.
Published: (2025)

Frequency Attention for Knowledge Distillation
by: Pham, Cuong, et al.
Published: (2024)

Score Normalization for Demographic Fairness in Face Recognition
by: Linghu, Yu, et al.
Published: (2024)

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
by: Nguyen, Kien, et al.
Published: (2025)

FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
by: Teo, Christopher T. H, et al.
Published: (2024)

Medical Imaging AI Competitions Lack Fairness
by: Reinke, Annika, et al.
Published: (2025)

Stable Messenger: Steganography for Message-Concealed Image Generation
by: Nguyen, Quang, et al.
Published: (2023)

Reliable and Reproducible Demographic Inference for Fairness in Face Analysis
by: Fournier-Montgieux, Alexandre, et al.
Published: (2025)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
by: Hoang, Dung Anh, et al.
Published: (2022)

State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading
by: Hu, Yuanze, et al.
Published: (2026)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)

SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion
by: Nguyen, Trong-Tung, et al.
Published: (2024)

FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
by: Nguyen, Trong-Tung, et al.
Published: (2024)

Evaluating the Fairness of Neural Collapse in Medical Image Classification
by: Mouheb, Kaouther, et al.
Published: (2024)

Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance
by: Wohlrapp, Matteo, et al.
Published: (2026)

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
by: Niu, Quanzhu, et al.
Published: (2025)

Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances
by: Montalvo, Javier, et al.
Published: (2024)

Review of Demographic Fairness in Face Recognition
by: Kotwal, Ketan, et al.
Published: (2025)

Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models
by: Gong, Haifan, et al.
Published: (2024)

Robust Fairness Vision-Language Learning for Medical Image Analysis
by: Bansal, Sparsh, et al.
Published: (2025)

Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications
by: Ferrante, Enzo, et al.
Published: (2024)

Learning to Complement and to Defer to Multiple Users
by: Zhang, Zheng, et al.
Published: (2024)

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
by: Nguyen, Viet, et al.
Published: (2024)

Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics
by: Chapariniya, Masoumeh, et al.
Published: (2025)

Transfer Learning in ECG Diagnosis: Is It Effective?
by: Nguyen, Cuong V., et al.
Published: (2024)

Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging
by: Kumar, Amar, et al.
Published: (2025)