Hoo-Chang Shin

8 papers and 4.0k indexed citations i.

Hoo-Chang Shin has authored 8 papers that have received a total of 4.0k indexed citations. This includes 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Topic Modeling (4 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Hoo-Chang Shin is often cited by papers focused on Topic Modeling (4 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers) and collaborates with scholars based in United States, United Kingdom and Switzerland. Hoo-Chang Shin's co-authors include Le Lü, Ronald M. Summers, Jianhua Yao, Holger R. Roth and Ari Seff and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization