Jen Hong Tan

Jen Hong develops algorithms. He specializes in deep learning, image processing and medical image diagnosis. He designs illustrations, web page and posters. He plays piano. He invented a mathematical model to analyze dry eye. He used deep learning to correct medical images. He trained deep learning models to identify pathologies in retinal images. And he made deep learning to draw anatomical features. He was the co-Principal Investigator of 6 research grants and 3 clinical trials. He and his team member co-developed algorithms to diagnose breast cancer, ovarian cancer, heart attack, fatty liver, diabetic retinopathy, epilepsy and glaucoma. He has published more than 90 journal articles, 12 of which are deep learning related. Worldwide his publications are cited more than 2000 times.

Educational Qualifications

• Ph.D. (Biomedical Engineering), Nanyang Technological University
• Bachelor of Engineering (Mechanical & Production Engineering), Minor in Chinese, Nanyang Technological University

Selected Publications

• J. H. Tan, H. Fujita, S. Sivaprasad, S. V. Bhandary, A. Krishna Rao, K. C. Chua, U. R. Acharya, Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network, Information Sciences, Volume 420, 2017, Pg. 66-76
• J. H. Tan, Y. Hagiwara, W. Pang, I. Lim, S. L. Oh, M. Adam, R. S. Tan, M. Chen, U. R. Acharya, Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals, Computers in Biology and Medicine, Volume 94, 2018, Pg. 19-26
• J. H. Tan, U. R. Acharya, S. V. Bhandary, K. C. Chua, S. Sivaprasad, Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network, Journal of Computational Science, Volume 20, 2017, Pg 70-79