most citedeSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases

2 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI20252 cited

eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases

Janet Wang, Xin Hu, Yunbei Zhang +7

Skin Neglected Tropical Diseases (NTDs) impose severe health and socioeconomic burdens in impoverished tropical communities. Yet, advancements in AI-driven diagnostic support are h…

cs.CV2025

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Yunsung Chung, Chanho Lim, Ghassan Bidaoui +3

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia often treated with catheter ablation procedures, but procedural outcomes are highly variable. Evaluating and improving ab…

cs.CV2025

Visual Instance-aware Prompt Tuning

Xi Xiao, Yunbei Zhang, Xingjian Li +5

Visual Prompt Tuning (VPT) has emerged as a parameter-efficient fine-tuning paradigm for vision transformers, with conventional approaches utilizing dataset-level prompts that rema…

cs.CR2025

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation

Yunsung Chung, Yunbei Zhang, Nassir Marrouche +1

Advances in generative models have transformed the field of synthetic image generation for privacy-preserving data synthesis (PPDS). However, the field lacks a comprehensive survey…

cs.CV2025

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback

Janet Wang, Yunbei Zhang, Zhengming Ding +1

Paucity of medical data severely limits the generalizability of diagnostic ML models, as the full spectrum of disease variability can not be represented by a small clinical dataset…

cs.CV20252 cited

Describe Anything in Medical Images

Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen +10

Localized image captioning has made significant progress with models like the Describe Anything Model (DAM), which can generate detailed region-specific descriptions without explic…