Cover Image

Robust Fairness Vision-Language Learning for Medical Image Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bansal, Sparsh, Wu, Mingyang, Wang, Xin, Hu, Shu
Format:	Preprint
Published:	2025
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

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
by: Lin, Li, et al.
Published: (2024)

Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations
by: Garg, Sparsh, et al.
Published: (2025)

Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation
by: Budathoki, Anjila, et al.
Published: (2025)

Robust Fair Disease Diagnosis in CT Images
by: Li, Justin, et al.
Published: (2026)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
by: Gorade, Vandan, et al.
Published: (2024)

FairCLIP: Harnessing Fairness in Vision-Language Learning
by: Luo, Yan, et al.
Published: (2024)

Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models
by: Xia, Yuexuan, et al.
Published: (2025)

Intersectional Fairness in Vision-Language Models for Medical Image Disease Classification
by: Zhang, Yupeng, et al.
Published: (2025)

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

L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation
by: Gorade, Vandan, et al.
Published: (2025)

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
by: Qu, Jingguo, et al.
Published: (2025)

Towards Robust and Fair Vision Learning in Open-World Environments
by: Truong, Thanh-Dat
Published: (2024)

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
by: Imam, Raza, et al.
Published: (2025)

Improving Generalization of Medical Image Registration Foundation Model
by: Hu, Jing, et al.
Published: (2025)

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image
by: Wu, Shaoxuan, et al.
Published: (2024)

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

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning
by: Fuller, Harrison, et al.
Published: (2025)

Effective and Robust Multimodal Medical Image Analysis
by: Dhar, Joy, et al.
Published: (2026)

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

Historic Scripts to Modern Vision: A Novel Dataset and A VLM Framework for Transliteration of Modi Script to Devanagari
by: Kausadikar, Harshal, et al.
Published: (2025)

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)

Fairness-Aware Fine-Tuning of Vision-Language Models for Medical Glaucoma Diagnosis
by: Gu, Zijian, et al.
Published: (2025)

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
by: Li, Heng, et al.
Published: (2024)

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)

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

Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
by: Wu, Xiao, et al.
Published: (2025)

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models
by: Wang, Peiran, et al.
Published: (2025)

Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
by: Xu, Juangui, et al.
Published: (2025)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
by: Wang, Hu, et al.
Published: (2025)

Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis
by: Tong, Ran, et al.
Published: (2025)

MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models
by: Liu, Philip R., et al.
Published: (2025)

Active Learning via Vision-Language Model Adaptation with Open Data
by: Wang, Tong, et al.
Published: (2025)

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
by: Zhu, Yazhou, et al.
Published: (2024)

Towards Robust In-Context Learning for Medical Image Segmentation via Data Synthesis
by: Hu, Jiesi, et al.
Published: (2025)

Learning Goal-Oriented Vision-and-Language Navigation with Self-Improving Demonstrations at Scale
by: Li, Songze, et al.
Published: (2025)

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
by: Wu, Peiran, et al.
Published: (2024)

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

Neural Radiance Fields in Medical Imaging: A Survey
by: Wang, Xin, et al.
Published: (2024)

Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis
by: Xin, Yu, et al.
Published: (2025)