Iain Bee Huat Tan

According to our database, Iain Bee Huat Tan authored at least 7 papers between 2020 and 2026.

Collaborative distances:

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

2026

Toward Global Large Language Models in Medicine.

Rui Yang, Huitao Li, Weihao Xuan, Heli Qi, Xin Li, Kunyu Yu, Yingjian Chen, Rongrong Wang, Jacques Behmoaras, Tianxi Cai, Bibhas Chakraborty, Qingyu Chen, Lionel Tim-Ee Cheng, Marie-Louise Damwanza, Chido Dzinotyiwei, Aosong Feng, Chuan Hong, Yusuke Iwasawa, Yuhe Ke, Linah Kitala, Taehoon Ko, Jisan Lee, Irene Li, Jonathan Chong Kai Liew, Hongfang Liu, Lian Leng Low, Edison Marrese-Taylor, Yutaka Matsuo, Isheanesu Misi, Yilin Ning, Jasmine Chiat Ling Ong, Marcus Eng Hock Ong, Enrico Petretto, Hossein Rouhizadeh, Abiram Sandralegar, Oren Schreier, Iain Bee Huat Tan, Patrick Tan, Daniel Shu Wei Ting, Junjue Wang, Chunhua Weng, Matthew Yu Heng Wong, Fang Wu, Yunze Xiao, Xuhai Xu, Qingcheng Zeng, Zhuo Zheng, Yifan Peng, Douglas Teodoro, Nan Liu

CoRR, January, 2026

2025

EVLF-FM: Explainable Vision Language Foundation Model for Medicine.

Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting

CoRR, September, 2025

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM).

Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou, Yan Wang, Yang Bai, Yuhe Ke, Jie Yao, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting

CoRR, July, 2025

2023

Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting.

Ryan Shea Ying Cong Tan, Qian Lin, Guat Hwa Low, Ruixi Lin, Tzer Chew Goh, Christopher Chu En Chang, Fung Fung Lee, Wei Yin Chan, Wei Chong Tan, Han Jieh Tey, Fun Loon Leong, Hong Qi Tan, Wen Long Nei, Wen Yee Chay, David Wai Meng Tai, Gillianne Geet Yi Lai, Lionel Tim-Ee Cheng, Fuh Yong Wong, Matthew Chin Heng Chua, Melvin Lee Kiang Chua, Daniel Shao-Weng Tan, Choon Hua Thng, Iain Bee Huat Tan, Hwee Tou Ng

J. Am. Medical Informatics Assoc., September, 2023

2021

Prognosticating Colorectal Cancer Recurrence using an Interpretable Deep Multi-view Network.

Danliang Ho, Iain Bee Huat Tan, Mehul Motani

Proceedings of the Machine Learning for Health, 2021

Predictive models for colorectal cancer recurrence using multi-modal healthcare data.

Danliang Ho, Iain Bee Huat Tan, Mehul Motani

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Prognosticating Colorectal Cancer Recurrence using Machine Learning Techniques.

Danliang Ho, Dawn Qingqing Chong, Brenda Tay, Iain Bee Huat Tan, Mehul Motani

Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020