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Mingrui Tan
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Conference and Workshop Papers
- 2022
- [c2]Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu:
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. AMIA 2022 - [c1]Xiaofeng Lei
, Shaohua Li, Xinxing Xu, Huazhu Fu
, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu
, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng:
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. OMIA@MICCAI 2022: 94-104
Informal and Other Publications
- 2024
- [i3]Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR abs/2406.01054 (2024) - 2022
- [i2]Xiaofeng Lei
, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng:
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks. CoRR abs/2210.02445 (2022) - 2021
- [i1]Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu:
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. CoRR abs/2111.11017 (2021)
Coauthor Index
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