Publications by authors named "Rick Goh"

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Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty.
Ke Zou, Yidi Chen, Ling Huang, Nan Zhou, Xuedong Yuan, Rick Siow Mong Goh

IEEE Trans Cybern· December 2025

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Prediction of the risk of diabetic foot from corneal nerve images using deep learning algorithms.
Chang Liu, Lei Zhu, Gavin Patrick O'Donnell, Mui Hui Koh, Mingyi Yu, Rick Siow Mong Goh

Diabetes Res Clin Pract· December 2025

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An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care.
Zhi Da Soh, Yang Bai, Kai Yu, Yang Zhou, Xiaofeng Lei, Rick Siow Mong Goh

Cell Rep Med· December 2025

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Addressing Client Drift in Federated Learning via Class-Prototype Similarity Distillation and Adaptive Mask.
Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh

IEEE Trans Cybern· November 2025

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Detection of Center-Involved Diabetic Macular Edema With Visual Impairment Using Multimodal Artificial Intelligence Algorithms.
Tien-En Tan, Yi Pin Ng, Claire Calhoun, Jia Quan Chaung, Jie Yao, Rick S M Goh

Ophthalmol Retina· October 2025

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Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes.
Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh

IEEE Trans Neural Netw Learn Syst· October 2025

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Artificial intelligence-quantified schisis volume as a structural endpoint for gene therapy clinical trials in X-linked retinoschisis.
Tien-En Tan, Peilun Dai, Jonathan Hensman, Peter Kiraly, Beau J Fenner, Rick S M Goh

Acta Ophthalmol· September 2025

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Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning.
Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh

IEEE Trans Pattern Anal Mach Intell· September 2025

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Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh

IEEE J Biomed Health Inform· August 2025

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Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning.
Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Rick Siow Mong Goh

IEEE Trans Med Imaging· August 2025

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Vision transformer-based stratification of pre/diabetic and pre/hypertensive patients from retinal photographs for 3PM applications.
Krithi Pushpanathan, Yang Bai, Xiaofeng Lei, Jocelyn Hui Lin Goh, Can Can Xue, Rick Siow Mong Goh

EPMA J· June 2025

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Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection.
Jocelyn Hui Lin Goh, Xiaofeng Lei, Miao-Li Chee, Yiming Qian, Marco Yu, Rick Siow Mong Goh

Ophthalmol Sci· June 2025

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Privacy-Preserving Technology Using Federated Learning and Blockchain in Protecting against Adversarial Attacks for Retinal Imaging.
Zhen Ling Teo, Xiaoman Zhang, Yechao Yang, Liyuan Jin, Chi Zhang, Rick Siow Mong Goh

Ophthalmology· April 2025

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Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small.
Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh

IEEE Trans Pattern Anal Mach Intell· February 2025

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Generative Image Reconstruction From Gradients.
Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh

IEEE Trans Neural Netw Learn Syst· January 2025

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Optimizing for In-Memory Deep Learning With Emerging Memory Technology.
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong

IEEE Trans Neural Netw Learn Syst· November 2024

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Reliable segmentation of multiple lesions from medical images.
Meng Wang, Kai Yu, Zhiwei Tan, Ke Zou, Rick Siow Mong Goh

Med Phys· September 2024

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Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.
Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Rick Siow Mong Goh

IEEE Trans Med Imaging· May 2024

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Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture.
Zhen Ling Teo, Liyuan Jin, Siqi Li, Di Miao, Xiaoman Zhang, Rick Siow Mong Goh

Cell Rep Med· February 2024

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Uncertainty-inspired open set learning for retinal anomaly identification.
Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Rick Siow Mong Goh

Nat Commun· October 2023

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A five-safes approach to a secure and scalable genomics data repository.
Chih Chuan Shih, Jieqi Chen, Ai Shan Lee, Nicolas Bertin, Maxime Hebrard, Liuh Ling Goh, Rick Siow Mong Goh

iScience· April 2023

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Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study.
Lily Wei Yun Yang, Wei Yan Ng, Xiaofeng Lei, Shaun Chern Yuan Tan, Zhaoran Wang, Rick Siow Mong Goh

Front Public Health· March 2023

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Associations between sleep trajectories up to 54 months and cognitive school readiness in 4 year old preschool children.
Elaine Kwang Hsia Tham, Hai-Yan Xu, Xiuju Fu, Rick Siow Mong Goh, Peter D Gluckman, Daniel Yam-Thiam Goh

Front Psychol· March 2023

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Author Correction: Detecting visually significant cataract using retinal photograph-based deep learning.
Yih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, Xiaofeng Lei, Tyler Hyungtaek Rim, Rick S M Goh

Nat Aging· June 2022

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