Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network. - Ruochen Gao; Zhihui Hou; Jun Li 103; Hu Han 001; Bin Lu; S. Kevin Zhou (ISBI, 2021)

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge. - Ramtin Gharleghi; Dona Adikari; Katy Ellenberger; Sze-Yuan Ooi; Chris Ellis; Chung-Ming Chen; Ruochen Gao; Yuting He; Raabid Hussain; Chia-Yen Lee; Jun Li 103; Jun Ma 016; et al. (Comput. Medical Imaging Graph., 2022)

Ince-EEGNet: A Novel Fatigue Degree Detection Method Based on EEG. - Jingshuang Ke; Ruochen Gao; Zhihua Huang (CISP-BMEI, 2024)

Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets. - Ruochen Gao; Donghang Lyu; Marius Staring (MedSAM@CVPR, 2024)

MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day. - Donghang Lyu; Ruochen Gao; Marius Staring (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)