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20222024
most citedGeneralist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

142 citations · 145 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20242 cited

VisionCLIP: An Med-AIGC based Ethical Language-Image Foundation Model for Generalizable Retina Image Analysis

Hao Wei, Bowen Liu, Minqing Zhang +2

Generalist foundation model has ushered in newfound capabilities in medical domain. However, the contradiction between the growing demand for high-quality annotated data with patie…

eess.IV2023

Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA

Hao Wei, Peilun Shi, Guitao Bai +3

Ultra-wide optical coherence tomography angiography (UW-OCTA) is an emerging imaging technique that offers significant advantages over traditional OCTA by providing an exceptionall…

cs.CV2023

CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading

Hao Wei, Peilun Shi, Juzheng Miao +5

Diabetic retinopathy (DR) is the most common diabetic complication, which usually leads to retinal damage, vision loss, and even blindness. A computer-aided DR grading system has a…

cs.CV2023142 cited

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

Peilun Shi, Jianing Qiu, Sai Mu Dalike Abaxi +3

In this paper, we examine the recent Segment Anything Model (SAM) on medical images, and report both quantitative and qualitative zero-shot segmentation results on nine medical ima…

cs.CV20231 cited

EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions

Peilun Shi, Jiachuan Peng, Jianing Qiu +3

Accurate depth estimation under adverse night conditions has practical impact and applications, such as on autonomous driving and rescue robots. In this work, we studied monocular…

cs.CV2022

Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning

Jiachuan Peng, Peilun Shi, Jianing Qiu +12

In our recent dietary assessment field studies on passive dietary monitoring in Ghana, we have collected over 250k in-the-wild images. The dataset is an ongoing effort to facilitat…