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Iscience
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November 15, 2021
Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images
Zhongwen Li, Jiewei Jiang, Wei Qiang, et al.
Journal of Biomedical Informatics
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September 7, 2024
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study
Zhongwen Li, Yangyang Wang, Kuan Chen, et al.
Cell Reports. Medicine
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June 29, 2023
Artificial intelligence in ophthalmology: The path to the real-world clinic
Zhongwen Li, Lei Wang, Xuefang Wu, et al.
Chemmedchem
|
December 21, 2021
Dihydropyridine Lactam Analogs Targeting BET Bromodomains
Jiewei Jiang, Logan H Sigua, Alice Chan, et al.
BMJ Open Ophthalmology
|
January 27, 2026
Evaluating reasoning large language models with human-like thinking in ophthalmic question answering
Zhouqian Wang, Chenjia Xu, Lei Wang, et al.
Frontiers in Cell and Developmental Biology
|
September 11, 2024
DeepMonitoring: a deep learning-based monitoring system for assessing the quality of cornea images captured by smartphones
Zhongwen Li, Lei Wang, Wei Qiang, et al.
NPJ Digital Medicine
|
March 3, 2022
Artificial intelligence to detect malignant eyelid tumors from photographic images
Zhongwen Li, Wei Qiang, Hongyun Chen, et al.
Frontiers in Medicine
|
May 24, 2021
Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets
Jiewei Jiang, Shutao Lei, Mingmin Zhu, et al.
European Journal of Medicinal Chemistry
|
March 22, 2025
Macrocyclic dihydropyridine analogs as pan-BET BD2-preferred inhibitors
Jiewei Jiang, Taimeng Liang, Jonathan Solberg, et al.
Biomedical Engineering Online
|
February 28, 2024
HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images
Jiewei Jiang, Haiyang Liu, Lang He, et al.
Page
of 5
Search research articles
Search
Showing results (11-20 of 43) with videos related to
Sort By:
Page
of 5
Iscience
|
November 15, 2021
Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images
Zhongwen Li, Jiewei Jiang, Wei Qiang, et al.
Journal of Biomedical Informatics
|
September 7, 2024
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study
Zhongwen Li, Yangyang Wang, Kuan Chen, et al.
Cell Reports. Medicine
|
June 29, 2023
Artificial intelligence in ophthalmology: The path to the real-world clinic
Zhongwen Li, Lei Wang, Xuefang Wu, et al.
Chemmedchem
|
December 21, 2021
Dihydropyridine Lactam Analogs Targeting BET Bromodomains
Jiewei Jiang, Logan H Sigua, Alice Chan, et al.
BMJ Open Ophthalmology
|
January 27, 2026
Evaluating reasoning large language models with human-like thinking in ophthalmic question answering
Zhouqian Wang, Chenjia Xu, Lei Wang, et al.
Frontiers in Cell and Developmental Biology
|
September 11, 2024
DeepMonitoring: a deep learning-based monitoring system for assessing the quality of cornea images captured by smartphones
Zhongwen Li, Lei Wang, Wei Qiang, et al.
NPJ Digital Medicine
|
March 3, 2022
Artificial intelligence to detect malignant eyelid tumors from photographic images
Zhongwen Li, Wei Qiang, Hongyun Chen, et al.
Frontiers in Medicine
|
May 24, 2021
Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets
Jiewei Jiang, Shutao Lei, Mingmin Zhu, et al.
European Journal of Medicinal Chemistry
|
March 22, 2025
Macrocyclic dihydropyridine analogs as pan-BET BD2-preferred inhibitors
Jiewei Jiang, Taimeng Liang, Jonathan Solberg, et al.
Biomedical Engineering Online
|
February 28, 2024
HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images
Jiewei Jiang, Haiyang Liu, Lang He, et al.
Page
of 5