Cover Image

DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Munia, Nusrat, Imran, Abdullah-Al-Zubaer
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

Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images
by: Munia, Nusrat, et al.
Published: (2025)

Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer Diagnosis
by: Munia, Nusrat, et al.
Published: (2025)

EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis
by: Massey, Matthew, et al.
Published: (2025)

Differential Attention for Multimodal Crisis Event Analysis
by: Munia, Nusrat, et al.
Published: (2025)

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks
by: Ward, Tyler, et al.
Published: (2025)

Annotation-Efficient Task Guidance for Medical Segment Anything
by: Ward, Tyler, et al.
Published: (2024)

Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation
by: Ward, Tyler, et al.
Published: (2025)

Protecting and Preserving Protest Dynamics for Responsible Analysis
by: Archbold, Cohen, et al.
Published: (2026)

DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model
by: Xu, Jingkai, et al.
Published: (2025)

Autoadaptive Medical Segment Anything Model
by: Ward, Tyler, et al.
Published: (2025)

Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
by: Yan, Siyuan, et al.
Published: (2025)

DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
by: Sinha, Ashish, et al.
Published: (2023)

Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
by: Eskandari, Sania, et al.
Published: (2024)

DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-Making
by: Liu, Yize, et al.
Published: (2026)

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis
by: Taufik, Enam Ahmed, et al.
Published: (2025)

A Probabilistic Segment Anything Model for Ambiguity-Aware Medical Image Segmentation
by: Ward, Tyler, et al.
Published: (2025)

DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
by: He, Zefeng, et al.
Published: (2025)

KDC-Diff: A Latent-Aware Diffusion Model with Knowledge Retention for Memory-Efficient Image Generation
by: Borno, Md. Naimur Asif, et al.
Published: (2025)

Manipulating and Mitigating Generative Model Biases without Retraining
by: Vice, Jordan, et al.
Published: (2024)

DeblurDiff: Real-World Image Deblurring with Generative Diffusion Models
by: Kong, Lingshun, et al.
Published: (2025)

Diff-BGM: A Diffusion Model for Video Background Music Generation
by: Li, Sizhe, et al.
Published: (2024)

DiffFAS: Face Anti-Spoofing via Generative Diffusion Models
by: Ge, Xinxu, et al.
Published: (2024)

CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model
by: Tang, Datao, et al.
Published: (2024)

Adapting Large Language Models to Mitigate Skin Tone Biases in Clinical Dermatology Tasks: A Mixed-Methods Study
by: Nijjer, Kiran, et al.
Published: (2025)

On Inductive Biases That Enable Generalization of Diffusion Transformers
by: An, Jie, et al.
Published: (2024)

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
by: Hou, Min, et al.
Published: (2024)

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
by: Lin, Chenguo, et al.
Published: (2025)

SimDiff: Simulator-constrained Diffusion Model for Physically Plausible Motion Generation
by: Watanabe, Akihisa, et al.
Published: (2025)

SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models
by: Park, Joon Hyun, et al.
Published: (2025)

CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model
by: Yuan, Xiaoding, et al.
Published: (2024)

ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis
by: Ward, Tyler, et al.
Published: (2026)

DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
by: jiao, Jiajun, et al.
Published: (2026)

DermETAS-SNA LLM: A Dermatology Focused Evolutionary Transformer Architecture Search with StackNet Augmented LLM Assistant
by: Oruganty, Nitya Phani Santosh, et al.
Published: (2025)

Studying and Mitigating Biases in Sign Language Understanding Models
by: Atwell, Katherine, et al.
Published: (2024)

Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis
by: Matas, Iván, et al.
Published: (2025)

GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models
by: Dhaouadi, Oussema, et al.
Published: (2025)

DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
by: Wu, Jianzong, et al.
Published: (2024)

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
by: Yan, Weicai, et al.
Published: (2025)

Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
by: Özdemir, Zeynep, et al.
Published: (2024)

DiffSF: Diffusion Models for Scene Flow Estimation
by: Zhang, Yushan, et al.
Published: (2024)