Right Ventricle Segmentation via Registration and Multi-input Modalities in Cardiac Magnetic Resonance Imaging from Multi-disease, Multi-view and Multi-center. - Xiaowu Sun; Li-Hsin Cheng; Rob J. van der Geest (STACOM@MICCAI, 2021)

Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds. - Li-Hsin Cheng; Pablo B. J. Bosch; Rutger F. H. Hofman; Timo B. Brakenhoff; Eline F. Bruggemans; Rob J. van der Geest; Eduard R. Holman (CoRR, 2021)

Contrastive Learning for Echocardiographic View Integration. - Li-Hsin Cheng; Xiaowu Sun; Rob J. van der Geest (MICCAI (4), 2022)

Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI. - Xiaowu Sun; Li-Hsin Cheng; Sven Plein; Pankaj Garg; Rob J. van der Geest (MICCAI (5), 2022)

Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification. - Xiaowu Sun; Li-Hsin Cheng; Rob J. van der Geest (STACOM@MICCAI, 2022)

Toward automated segmentation for acute ischemic stroke using non-contrast computed tomography. - Shih-Yen Lin; Pi-Ling Chiang; Peng-Wen Chen; Li-Hsin Cheng; Meng-Hsiang Chen; Pei-Chun Chang; Wei-Che Lin; Yong-Sheng Chen (Int. J. Comput. Assist. Radiol. Surg., 2022)