output
20202026
most citedSegment Anything Model for Medical Images?

502 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.CV2026

USCNet: Transformer-Based Multimodal Fusion with Segmentation Guidance for Urolithiasis Classification

Changmiao Wang, Songqi Zhang, Yongquan Zhang +9

Kidney stone disease ranks among the most prevalent conditions in urology, and understanding the composition of these stones is essential for creating personalized treatment plans…

eess.IV2024★ 14 cited

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning

Jiayu Peng, Jiajun Zeng, Manlin Lai +3

Objective: Ultrasound (US) examination has unique advantages in diagnosing carpal tunnel syndrome (CTS) while identifying the median nerve (MN) and diagnosing CTS depends heavily o…

eess.IV2023★ 502 cited

Segment Anything Model for Medical Images?

Yuhao Huang, Xin Yang, Lian Liu +16

The Segment Anything Model (SAM) is the first foundation model for general image segmentation. It has achieved impressive results on various natural image segmentation tasks. Howev…

cs.LG2021★ 7 cited

Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

Qinghao Ye, Jun Xia, Guang Yang

Artificial Intelligence (AI) has made leapfrogs in development across all the industrial sectors especially when deep learning has been introduced. Deep learning helps to learn the…

eess.IV2020★ 28 cited

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images

Shaoping Hu, Yuan Gao, Zhangming Niu +9

An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Althoug…