Cover Image

Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ferrante, Enzo, Echeveste, Rodrigo
Format:	Preprint
Published:	2024
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

CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images
by: Cosarinsky, Matias, et al.
Published: (2025)

BM-CL: Bias Mitigation through the lens of Continual Learning
by: Mansilla, Lucas, et al.
Published: (2025)

Fairness and Robustness of CLIP-Based Models for Chest X-rays
by: Sourget, Théo, et al.
Published: (2025)

Open Turbulent Image Set (OTIS)
by: Ferrante, Nicholas B., et al.
Published: (2024)

Medical Context Distorts Decisions in Clinical Vision Language Models
by: Restrepo, David, et al.
Published: (2026)

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
by: Juodelyte, Dovile, et al.
Published: (2024)

Explainable Artificial Intelligence for Medical Applications: A Review
by: Sun, Qiyang, et al.
Published: (2024)

Fitting Skeletal Models via Graph-based Learning
by: Gaggion, Nicolás, et al.
Published: (2024)

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

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

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

An Explainable AI Framework for Artificial Intelligence of Medical Things
by: Amin, Al, et al.
Published: (2024)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
by: Zou, Jingchen, et al.
Published: (2025)

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

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

Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)

Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT
by: del Castillo, Miguel Ortiz, et al.
Published: (2024)

Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
by: Queiroz, Dilermando, et al.
Published: (2025)

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

Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research
by: Mo, Yuanlin, et al.
Published: (2025)

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
by: Restrepo, David, et al.
Published: (2025)

Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
by: Chen, Long, et al.
Published: (2024)

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
by: Jin, Ruinan, et al.
Published: (2024)

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis
by: Rao, Adrit, et al.
Published: (2026)

Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation
by: Matzkin, Franco, et al.
Published: (2025)

On dataset transferability in medical image classification
by: Juodelyte, Dovile, et al.
Published: (2024)

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision
by: Gaggion, Nicolás, et al.
Published: (2026)

Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning
by: Han, Xu, et al.
Published: (2024)

OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring
by: Xiong, Ruoxin, et al.
Published: (2025)

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
by: Tian, Yu, et al.
Published: (2023)

ViG-Bias: Visually Grounded Bias Discovery and Mitigation
by: Marani, Badr-Eddine, et al.
Published: (2024)

FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification
by: Woergaard, Thomas, et al.
Published: (2026)

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

Neuron Incidence Redistribution for Fairness in Medical Image Classification
by: Shoby, Abin, et al.
Published: (2026)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
by: Tian, Yiqi, et al.
Published: (2026)

Automated Defect Identification and Categorization in NDE 4.0 with the Application of Artificial Intelligence
by: Sharma, Aditya
Published: (2025)

Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
by: Masroor, Milad, et al.
Published: (2026)

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

Medical Image Registration and Its Application in Retinal Images: A Review
by: Nie, Qiushi, et al.
Published: (2024)