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Huazhu Fu

Showing results (151-160 of 159) with videos related to

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Nature Communications|October 24, 2023
Uncertainty-inspired open set learning for retinal anomaly identificationMeng Wang, Tian Lin, Lianyu Wang, et al.
Medical Image Analysis|September 8, 2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence TomographyHuazhu Fu, Fei Li, Xu Sun, et al.
Diagnostics (Basel, Switzerland)|June 26, 2026
Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis QuantificationNagalakshmi Jegannathan, Xiaoman Zhang, Jia Xuan Seow, et al.
Medical Image Analysis|October 8, 2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAgesJunde Wu, Huihui Fang, Fei Li, et al.
IEEE Transactions on Medical Imaging|May 4, 2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus ImagesHuihui Fang, Fei Li, Huazhu Fu, et al.
Medical Image Analysis|October 21, 2019
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographsJosé Ignacio Orlando, Huazhu Fu, João Barbosa Breda, et al.
Nature Communications|July 1, 2025
Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language modelMeng Wang, Tian Lin, Aidi Lin, et al.
Nature Machine Intelligence|May 6, 2024
Federated benchmarking of medical artificial intelligence with MedPerfAlexandros Karargyris, Renato Umeton, Micah J Sheller, et al.
Nature Medicine|August 28, 2025
An eyecare foundation model for clinical assistance: a randomized controlled trialYilan Wu, Bo Qian, Tingyao Li, et al.
Pageof 16

Showing results (151-160 of 159) with videos related to

Sort By:
Pageof 16
You have reached the last page of results.This site can display upto 159 results.
Nature Communications|October 24, 2023
Uncertainty-inspired open set learning for retinal anomaly identificationMeng Wang, Tian Lin, Lianyu Wang, et al.
Medical Image Analysis|September 8, 2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence TomographyHuazhu Fu, Fei Li, Xu Sun, et al.
Diagnostics (Basel, Switzerland)|June 26, 2026
Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis QuantificationNagalakshmi Jegannathan, Xiaoman Zhang, Jia Xuan Seow, et al.
Medical Image Analysis|October 8, 2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAgesJunde Wu, Huihui Fang, Fei Li, et al.
IEEE Transactions on Medical Imaging|May 4, 2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus ImagesHuihui Fang, Fei Li, Huazhu Fu, et al.
Medical Image Analysis|October 21, 2019
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographsJosé Ignacio Orlando, Huazhu Fu, João Barbosa Breda, et al.
Nature Communications|July 1, 2025
Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language modelMeng Wang, Tian Lin, Aidi Lin, et al.
Nature Machine Intelligence|May 6, 2024
Federated benchmarking of medical artificial intelligence with MedPerfAlexandros Karargyris, Renato Umeton, Micah J Sheller, et al.
Nature Medicine|August 28, 2025
An eyecare foundation model for clinical assistance: a randomized controlled trialYilan Wu, Bo Qian, Tingyao Li, et al.
Pageof 16