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An-Ran Ran

Showing results (1-10 of 48) with videos related to

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Clinical & Experimental Ophthalmology|May 28, 2023
Deep learning in optical coherence tomography: Where are the gaps?Dawei Li, An Ran Ran, Carol Y Cheung, et al.
Journal of Alzheimer'S Disease : JAD|May 22, 2023
Deep Reinforcement Learning-Based Retinal Imaging in Alzheimer's Disease: Potential and PerspectivesHerbert Y H Hui, An Ran Ran, Jia Jia Dai, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GANWeiwen Zhang, Dawei Yang, Haoxuan Che, et al.
NPJ Digital Medicine|November 18, 2025
Matters arising: Utilizing foundation models for developing clinical toolsHin Yin Chan, Chak Fung Ng, Oscar Yui Ming Choi, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 27, 2024
Reference-Based OCT Angiogram Super-Resolution With Learnable Texture GenerationYuyan Ruan, Dawei Yang, Ziqi Tang, et al.
Diagnostics (Basel, Switzerland)|November 26, 2022
Federated Learning in Ocular Imaging: Current Progress and Future DirectionTruong X Nguyen, An Ran Ran, Xiaoyan Hu, et al.
Eye (London, England)|February 15, 2025
Moving artificial intelligence development to deployment in ophthalmology: randomised controlled trials are warrantedShuyi Zhang, Truong X Nguyen, Xujia Liu, et al.
IEEE Journal of Biomedical and Health Informatics|April 6, 2020
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image ClassificationXi Wang, Fangyao Tang, Hao Chen, et al.
Ophthalmology and Therapy|September 1, 2023
What can GPT-4 do for Diagnosing Rare Eye Diseases? A Pilot StudyXiaoyan Hu, An Ran Ran, Truong X Nguyen, et al.
Eye (London, England)|October 24, 2020
Correction: Deep learning in glaucoma with optical coherence tomography: a reviewAn Ran Ran, Clement C Tham, Poemen P Chan, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Clinical & Experimental Ophthalmology|May 28, 2023
Deep learning in optical coherence tomography: Where are the gaps?Dawei Li, An Ran Ran, Carol Y Cheung, et al.
Journal of Alzheimer'S Disease : JAD|May 22, 2023
Deep Reinforcement Learning-Based Retinal Imaging in Alzheimer's Disease: Potential and PerspectivesHerbert Y H Hui, An Ran Ran, Jia Jia Dai, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GANWeiwen Zhang, Dawei Yang, Haoxuan Che, et al.
NPJ Digital Medicine|November 18, 2025
Matters arising: Utilizing foundation models for developing clinical toolsHin Yin Chan, Chak Fung Ng, Oscar Yui Ming Choi, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 27, 2024
Reference-Based OCT Angiogram Super-Resolution With Learnable Texture GenerationYuyan Ruan, Dawei Yang, Ziqi Tang, et al.
Diagnostics (Basel, Switzerland)|November 26, 2022
Federated Learning in Ocular Imaging: Current Progress and Future DirectionTruong X Nguyen, An Ran Ran, Xiaoyan Hu, et al.
Eye (London, England)|February 15, 2025
Moving artificial intelligence development to deployment in ophthalmology: randomised controlled trials are warrantedShuyi Zhang, Truong X Nguyen, Xujia Liu, et al.
IEEE Journal of Biomedical and Health Informatics|April 6, 2020
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image ClassificationXi Wang, Fangyao Tang, Hao Chen, et al.
Ophthalmology and Therapy|September 1, 2023
What can GPT-4 do for Diagnosing Rare Eye Diseases? A Pilot StudyXiaoyan Hu, An Ran Ran, Truong X Nguyen, et al.
Eye (London, England)|October 24, 2020
Correction: Deep learning in glaucoma with optical coherence tomography: a reviewAn Ran Ran, Clement C Tham, Poemen P Chan, et al.
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