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1دورية أكاديمية
المؤلفون: Dai, Ling, Sheng, Bin, Chen, Tingli, Wu, Qiang, Liu, Ruhan, Cai, Chun, Wu, Liang, Yang, Dawei, Hamzah, Haslina, Liu, Yuexing, Wang, Xiangning, Guan, Zhouyu, Yu, Shujie, Li, Tingyao, Tang, Ziqi, Ran, Anran, Che, Haoxuan, Chen, Hao, Zheng, Yingfeng, Shu, Jia, Huang, Shan, Wu, Chan, Lin, Shiqun, Liu, Dan, Li, Jiajia, Wang, Zheyuan, Meng, Ziyao, Shen, Jie, Hou, Xuhong, Deng, Chenxin, Ruan, Lei, Lu, Feng, Chee, Miaoli, Quek, Ten Cheer, Srinivasan, Ramyaa, Raman, Rajiv, Sun, Xiaodong, Wang, Ya Xing, Wu, Jiarui, Jin, Hai, Dai, Rongping, Shen, Dinggang, Yang, Xiaokang, Guo, Minyi, Zhang, Cuntai, Cheung, Carol Y., Tan, Gavin Siew Wei, Tham, Yih-Chung, Cheng, Ching-Yu, Li, Huating
المصدر: Nature Medicine ; ISSN 1078-8956 1546-170X
مصطلحات موضوعية: General Biochemistry, Genetics and Molecular Biology, General Medicine
الإتاحة: https://doi.org/10.1038/s41591-023-02702-zTest
https://www.nature.com/articles/s41591-023-02702-z.pdfTest
https://www.nature.com/articles/s41591-023-02702-zTest -
2دورية أكاديمية
المؤلفون: Elsawy, Amr, Keenan, Tiarnan D. L., Chen, Qingyu, Thavikulwat, Alisa T., Bhandari, Sanjeeb, Quek, Ten Cheer, Goh, Jocelyn Hui Lin, Tham, Yih-Chung, Cheng, Ching-Yu, Chew, Emily Y., Lu, Zhiyong
المصدر: Communications Medicine ; volume 3, issue 1 ; ISSN 2730-664X
الإتاحة: https://doi.org/10.1038/s43856-023-00410-wTest
https://www.nature.com/articles/s43856-023-00410-w.pdfTest
https://www.nature.com/articles/s43856-023-00410-wTest -
3دورية أكاديمية
المؤلفون: Quek, Ten Cheer, Takahashi, Kengo, Kang, Hyun Goo, Thakur, Sahil, Deshmukh, Mihir, Tseng, Rachel Marjorie Wei Wen, Nguyen, Helen, Tham, Yih-Chung, Rim, Tyler Hyungtaek, Kim, Sung Soo, Yanagi, Yasuo, Liew, Gerald, Cheng, Ching-Yu
المساهمون: SingHealth
المصدر: EPMA Journal ; volume 13, issue 4, page 547-560 ; ISSN 1878-5085
مصطلحات موضوعية: Biochemistry (medical), Health Policy, Drug Discovery
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4مراجعة
المؤلفون: Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Da Soh, Zhi, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu
المساهمون: OPHTHALMOLOGY, DUKE-NUS MEDICAL SCHOOL, DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
المصدر: Scopus OA2021
مصطلحات موضوعية: Artificial intelligence, Deep learning, Gender, Ophthalmology, Retina
العلاقة: Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Da Soh, Zhi, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu (2021-08-17). Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study. JMIR Medical Informatics 9 (8) : e25165. ScholarBank@NUS Repository. https://doi.org/10.2196/25165Test; https://scholarbank.nus.edu.sg/handle/10635/232429Test
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5دورية أكاديمية
المؤلفون: Kochhar, Jaspreet Singh, Quek, Ten Cheer, Soon, Wei Jun, Choi, Jaewoong, Zou, Shui, Kang, Lifeng
المصدر: Journal of Pharmaceutical Sciences ; volume 102, issue 11, page 4100-4108 ; ISSN 0022-3549
مصطلحات موضوعية: Pharmaceutical Science
الإتاحة: https://doi.org/10.1002/jps.23724Test
https://api.elsevier.com/content/article/PII:S0022354915308327?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0022354915308327?httpAccept=text/plainTest