Daniel Shu Wei Ting

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Optical Coherence Tomography

Top Venues

npj Digit. Medicine

Publications

Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. CoRR (2024)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR (2024)
Kabilan Elangovan, Jasmine Chiat Ling Ong, Liyuan Jin, Benjamin Jun Jie Seng, Yu Heng Kwan, Lit Soo Tan, Ryan Jian Zhong, Justina Koi Li Ma, Yuhe Ke, Nan Liu, Kathleen M. Giacomini, Daniel Shu Wei Ting
Lightweight Large Language Model for Medication Enquiry: Med-Pal. CoRR (2024)
Valentina Bellemo, Ankit Kumar Das, Syna Sreng, Jacqueline Chua, Damon Wing Kee Wong, Janika Shah, Rahul Jonas, Bingyao Tan, Xinyu Liu, Xinxing Xu, Gavin Siew Wei Tan, Rupesh Agrawal, Daniel Shu Wei Ting, Liu Yong, Leopold Schmetterer
Optical coherence tomography choroidal enhancement using generative deep learning. npj Digit. Medicine 7 (1) (2024)
Yuhe Ke, Liyuan Jin, Kabilan Elangovan, Hairil Rizal Abdullah, Nan Liu, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting
Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report. CoRR (2024)
Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging 43 (5) (2024)
Yuhe Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Nan Liu
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias. CoRR (2024)
Ting Fang Tan, Kabilan Elangovan, Liyuan Jin, Yao Jie, Li Yong, Joshua Lim, Stanley Poh, Wei Yan Ng, Daniel Yan Zheng Lim, Yuhe Ke, Nan Liu, Daniel Shu Wei Ting
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4. CoRR (2024)
Jasmine Chiat Ling Ong, Liyuan Jin, Kabilan Elangovan, Gilbert Yong San Lim, Daniel Yan Zheng Lim, Gerald Gui Ren Sng, Yuhe Ke, Joshua Yi Min Tung, Ryan Jian Zhong, Christopher Ming Yao Koh, Keane Zhi Hao Lee, Xiang Chen, Jack Kian Chng, Aung Than, Ken Junyang Goh, Daniel Shu Wei Ting
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties. CoRR (2024)
Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao-Yiu Sung, Eric J. Topol, Nan Liu
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. CoRR (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023)
Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards clinical AI fairness: A translational perspective. CoRR (2023)
Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. CoRR (2022)
Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. AMIA (2022)
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
Shapley variable importance cloud for interpretable machine learning. Patterns 3 (4) (2022)
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
Shapley variable importance clouds for interpretable machine learning. CoRR (2021)
Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
Partially-Supervised Learning for Vessel Segmentation in Ocular Images. MICCAI (1) (2021)
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
Few-Shot Domain Adaptation with Polymorphic Transformers. CoRR (2021)
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
Few-Shot Domain Adaptation with Polymorphic Transformers. MICCAI (2) (2021)
Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. OMIA@MICCAI (2019)
Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. AAAI (2019)
Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
Multi-Instance Multi-Scale CNN for Medical Image Classification. MICCAI (4) (2019)
Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
Multi-Instance Multi-Scale CNN for Medical Image Classification. CoRR (2019)
Michelle Yuen Ting Yip, Zhan Wei Lim, Gilbert Lim, Nguyen Duc Quang, Haslina Hamzah, Jinyi Ho, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Mong-Li Lee, Wynne Hsu, Tien Yin Wong, Daniel Shu Wei Ting
Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning. ACCV Workshops (2018)
Valentina Bellemo, Michelle Yuen Ting Yip, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong-Li Lee, Wynne Hsu, Renata Garcia-Franco, Geeta Menon, Ecosse Lamoureux, Ching Yu Cheng, Tien Yin Wong, Daniel Shu Wei Ting
Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. ACCV Workshops (2018)
Valentina Bellemo, Philippe Burlina, Liu Yong, Tien Yin Wong, Daniel Shu Wei Ting
Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. ACCV Workshops (2018)