papers

Publications (10)

cs.CV2022

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Zhen Yu, Toan Nguyen, Yaniv Gal +7

In practice, many medical datasets have an underlying taxonomy defined over the disease label space. However, existing classification algorithms for medical diagnoses often assume…

eess.IV2026

M2Diff: Multi-Modality Multi-Task Enhanced Diffusion Model for MRI-Guided Low-Dose PET Enhancement

Ghulam Nabi Ahmad Hassan Yar, Himashi Peiris, Victoria Mar +2

Positron emission tomography (PET) scans expose patients to radiation, which can be mitigated by reducing the dose, albeit at the cost of diminished quality. This makes low-dose (L…

cs.CV2020

Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images

Zhen Yu, Jennifer Nguyen, Xiaojun Chang +5

Existing studies for automated melanoma diagnosis are based on single-time point images of lesions. However, melanocytic lesions de facto are progressively evolving and, moreover,…

cs.CV2023

Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis

Deval Mehta, Brigid Betz-Stablein, Toan D Nguyen +8

The surge in developing deep learning models for diagnosing skin lesions through image analysis is notable, yet their clinical black faces challenges. Current dermatology AI models…

cs.CV2025

Multi-Aspect Knowledge-Enhanced Medical Vision-Language Pretraining with Multi-Agent Data Generation

Xieji Li, Siyuan Yan, Yingsheng Liu +4

Vision-language pretraining (VLP) has emerged as a powerful paradigm in medical image analysis, enabling representation learning from large-scale image-text pairs without relying o…

cs.CV2026

A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology

Siyuan Yan, Xieji Li, Dan Mo +28

Medical foundation models have shown promise in controlled benchmarks, yet widespread deployment remains hindered by reliance on task-specific fine-tuning. Here, we introduce DermF…

cs.CV2025

A Multimodal Vision Foundation Model for Clinical Dermatology

Siyuan Yan, Zhen Yu, Clare Primiero +22

Diagnosing and treating skin diseases require advanced visual skills across domains and the ability to synthesize information from multiple imaging modalities. While current deep l…

eess.IV2021

Early Melanoma Diagnosis with Sequential Dermoscopic Images

Zhen Yu, Jennifer Nguyen, Toan D Nguyen +6

Dermatologists often diagnose or rule out early melanoma by evaluating the follow-up dermoscopic images of skin lesions. However, existing algorithms for early melanoma diagnosis a…

eess.IV2024

Prompt-driven Latent Domain Generalization for Medical Image Classification

Siyuan Yan, Chi Liu, Zhen Yu +7

Deep learning models for medical image analysis easily suffer from distribution shifts caused by dataset artifacts bias, camera variations, differences in the imaging station, etc.…

cs.CV2023

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Siyuan Yan, Chi Liu, Zhen Yu +6

Skin lesion recognition using deep learning has made remarkable progress, and there is an increasing need for deploying these systems in real-world scenarios. However, recent resea…