Yong Mong Bee

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 4

Top Topics

Reinforcement Learning

Magnetic Resonance Imaging

Constrained Optimization

Top Venues

npj Digit. Medicine

Int. J. Biomed. Imaging

Publications

Naveenah Udaya Surian, Arsen O. Batagov, Andrew Wu, Wenbin Lai, Yan Sun, Yong Mong Bee, Rinkoo Dalan
A digital twin model incorporating generalized metabolic fluxes to identify and predict chronic kidney disease in type 2 diabetes mellitus. npj Digit. Medicine 7 (1) (2024)
Hong Chang Tan, Elizabeth Shumbayawonda, Cayden Beyer, Lionel Tim-Ee Cheng, Albert Low, Chin Hong Lim, Alvin Eng, Weng Hoong Chan, Phong Ching Lee, Mei Fang Tay, Stella Kin, Jason Pik Eu Chang, Yong Mong Bee, George Boon Bee Goh
Multiparametric Magnetic Resonance Imaging and Magnetic Resonance Elastography to Evaluate the Early Effects of Bariatric Surgery on Nonalcoholic Fatty Liver Disease. Int. J. Biomed. Imaging 2023 (2023)
Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. KDD (2023)
Milashini Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications. CoRR (2023)