Rick Siow Mong Goh
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Explore the profile of Rick Siow Mong Goh including associated specialties, affiliations and a list of published articles.
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29
Citations
132
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Recent Articles
1.
Zeng H, Zou K, Chen Z, Gao Y, Chen H, Zhang H, et al.
IEEE Trans Med Imaging
. 2025 Mar;
PP.
PMID: 40030591
Handheld ultrasound devices face usage limitations due to user inexperience and cannot benefit from supervised deep learning without extensive expert annotations. Moreover, the models trained on standard ultrasound device data...
2.
Teo Z, Zhang X, Yang Y, Jin L, Zhang C, Poh S, et al.
Ophthalmology
. 2024 Oct;
PMID: 39424148
Purpose: Collaboration provides valuable data for robust artificial intelligence (AI) model development. Federated learning (FL) is a privacy-enhancing technology that allows collaboration while respecting privacy via the development of models...
3.
Wang Z, Luo T, Liu C, Liu W, Goh R, Wong W
IEEE Trans Pattern Anal Mach Intell
. 2024 Oct;
47(2):916-933.
PMID: 39423084
Large language models (LLMs) have garnered substantial attention due to their promising applications in diverse domains. Nevertheless, the increasing size of LLMs comes with a significant surge in the computational...
4.
Wang Z, Wang Y, Feng Y, du J, Liu Y, Goh R, et al.
IEEE Trans Neural Netw Learn Syst
. 2024 Sep;
PP.
PMID: 39302797
Domain generalization (DG) aims to learn a model on one or multiple observed source domains that can generalize to unseen target test domains. Previous approaches have focused on extracting domain-invariant...
5.
Wang M, Yu K, Tan Z, Zou K, Goh R, Fu H
Med Phys
. 2024 Jun;
51(9):6020-6033.
PMID: 38860890
Background: Focusing on the complicated pathological features, such as blurred boundaries, severe scale differences between symptoms, and background noise interference, we aim to enhance the reliability of multiple lesions joint...
6.
Karargyris A, Umeton R, Sheller M, Aristizabal A, George J, Wuest A, et al.
Nat Mach Intell
. 2024 May;
5(7):799-810.
PMID: 38706981
Medical artificial intelligence (AI) has tremendous potential to advance healthcare by supporting and contributing to the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving both healthcare provider...
7.
Sotthiwat E, Zhen L, Zhang C, Li Z, Goh R
IEEE Trans Neural Netw Learn Syst
. 2024 Apr;
36(1):21-31.
PMID: 38598391
In this article, we propose a method, generative image reconstruction from gradients (GIRG), for recovering training images from gradients in a federated learning (FL) setting, where privacy is preserved by...
8.
Teo Z, Jin L, Liu N, Li S, Miao D, Zhang X, et al.
Cell Rep Med
. 2024 Mar;
5(3):101481.
PMID: 38508145
No abstract available.
9.
Teo Z, Jin L, Li S, Miao D, Zhang X, Ng W, et al.
Cell Rep Med
. 2024 Feb;
5(2):101419.
PMID: 38340728
Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By conducting a systematic review of FL applications...
10.
Wang Y, Zhen L, Tan T, Fu H, Feng Y, Wang Z, et al.
IEEE Trans Med Imaging
. 2024 Jan;
43(5):1945-1957.
PMID: 38206778
Color fundus photography (CFP) and Optical coherence tomography (OCT) images are two of the most widely used modalities in the clinical diagnosis and management of retinal diseases. Despite the widespread...