Li-Hsin Cheng

According to our database, Li-Hsin Cheng authored at least 6 papers between 2021 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contrastive Learning for Echocardiographic View Integration.

Li-Hsin Cheng, Xiaowu Sun, Rob J. van der Geest

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021