72 citations · 76 across the 8 of their papers we have counts for
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eess.IV2024
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…
cs.AI2024★ 2 cited
MEDCO: Medical Education Copilots Based on A Multi-Agent Framework
Hao Wei, Jianing Qiu, Haibao Yu +1
Large language models (LLMs) have had a significant impact on diverse research domains, including medicine and healthcare. However, the potential of LLMs as copilots in medical edu…
cs.CV2024★ 2 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…