Daniel S. W. Ting

According to our database, Daniel S. W. Ting authored at least 34 papers between 2018 and 2024.

Collaborative distances:

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

2024

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.

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

IEEE Trans. Medical Imaging, May, 2024

Optical coherence tomography choroidal enhancement using generative deep learning.

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

npj Digit. Medicine, 2024

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness.

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, Chang Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting

CoRR, 2024

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning.

Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu

CoRR, 2024

Lightweight Large Language Model for Medication Enquiry: Med-Pal.

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

CoRR, 2024

A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.

Ting Fang Tan, Kabilan Elangovan, Jasmine Chiat Ling Ong, Nigam Shah, Joseph Jao-Yiu Sung, Tien Yin Wong, Lan Xue, Nan Liu, Haibo Wang, Chang Fu Kuo, Simon Chesterman, Zee Kin Yeong, Daniel S. W. Ting

CoRR, 2024

Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine.

Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu

CoRR, 2024

Towards Clinical AI Fairness: Filling Gaps in the Puzzle.

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

CoRR, 2024

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4.

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

CoRR, 2024

Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties.

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

CoRR, 2024

Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report.

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

CoRR, 2024

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias.

Yuhe Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Nan Liu

CoRR, 2024

2023

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review.

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

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

Big data in corneal diseases and cataract: Current applications and future directions.

Darren S. J. Ting, Rashmi Deshmukh, Daniel S. W. Ting, Marcus Ang

Frontiers Big Data, January, 2023

A translational perspective towards clinical AI fairness.

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

npj Digit. Medicine, 2023

Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children.

Li Lian Foo, Gilbert Yong San Lim, Carla Lanca, Chee Wai Wong, Quan V. Hoang, Xiu Juan Zhang, Jason C. Yam, Leopold Schmetterer, Audrey Chia, Tien Yin Wong, Daniel S. W. Ting, Seang-Mei Saw, Marcus Ang

npj Digit. Medicine, 2023

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.

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

CoRR, 2023

Towards clinical AI fairness: A translational perspective.

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

CoRR, 2023

2022

Shapley variable importance cloud for interpretable machine learning.

Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu

Patterns, 2022

Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting

npj Digit. Medicine, 2022

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.

Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu

Proceedings of the AMIA 2022, 2022

2021

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis.

Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel S. W. Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, Ara Darzi

npj Digit. Medicine, 2021

Shapley variable importance clouds for interpretable machine learning.

Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu

CoRR, 2021

Partially-Supervised Learning for Vessel Segmentation in Ocular Images.

Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.

Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.

Michelle Yuen Ting Yip, Gilbert Lim, Zhan Wei Lim, Quang Duc Nguyen, Crystal C. Y. Chong, Marco Yu, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Haslina Hamzah, Jinyi Ho, Tien-En Tan, Charumathi Sabanayagam, Andrzej Grzybowski, Gavin Siew Wei Tan, Wynne Hsu, Mong-Li Lee, Tien Yin Wong, Daniel S. W. Ting

npj Digit. Medicine, 2020

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting

npj Digit. Medicine, 2020

2019

Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.

Daniel S. W. Ting, Carol Yim-lui Cheung, Quang Duc Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin Siew Wei Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost B. Jonas, Rohit Varma, Mong-Li Lee, Wynne Hsu, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong

npj Digit. Medicine, 2019

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.

Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Multi-Instance Multi-Scale CNN for Medical Image Classification.

Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study.

Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning.

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

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs.

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

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis.

Valentina Bellemo, Philippe Burlina, Liu Yong, Tien Yin Wong, Daniel Shu Wei Ting

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018