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Jen-Hong Tan

Showing results (11-20 of 44) with videos related to

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Journal of Medical Systems|February 23, 2011
An integrated index for the identification of diabetic retinopathy stages using texture parametersU Rajendra Acharya, E Y K Ng, Jen-Hong Tan, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|February 26, 2013
Repeatability of a new method for measuring tear evaporation ratesAndrea Petznick, Jen Hong Tan, Shiao Khee Boo, et al.
Computer Methods and Programs in Biomedicine|June 2, 2018
Automated EEG-based screening of depression using deep convolutional neural networkU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Eye & Contact Lens|January 31, 2016
Clinical Trial of Thermal Pulsation (LipiFlow) in Meibomian Gland Dysfunction With Preteatment MeibographyYang Zhao, Anuradha Veerappan, Sharon Yeo, et al.
Ophthalmology and Therapy|August 27, 2014
A Randomized, Controlled Treatment Trial of Eyelid-Warming Therapies in Meibomian Gland DysfunctionHui Shan Sim, Andrea Petznick, Sylvaine Barbier, et al.
BMJ Open Ophthalmology|August 21, 2018
Acupuncture and herbal formulation compared with artificial tears alone: evaluation of dry eye symptoms and associated tests in randomised clinical trialLouis Tong, Hla Myint Htoon, Aihua Hou, et al.
Computers in Biology and Medicine|September 5, 2017
A deep convolutional neural network model to classify heartbeatsU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computers in Biology and Medicine|November 10, 2017
Computer aided diagnosis of diabetic foot using infrared thermography: A reviewMuhammad Adam, Eddie Y K Ng, Jen Hong Tan, et al.
JMIR Formative Research|August 19, 2025
A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability StudyGerald Gui Ren Sng, Yi Xiang, Daniel Yan Zheng Lim, et al.
JMIR AI|October 17, 2024
Machine Learning-Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and EvaluationJoshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, et al.
Pageof 5

Showing results (11-20 of 44) with videos related to

Sort By:
Pageof 5
Journal of Medical Systems|February 23, 2011
An integrated index for the identification of diabetic retinopathy stages using texture parametersU Rajendra Acharya, E Y K Ng, Jen-Hong Tan, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|February 26, 2013
Repeatability of a new method for measuring tear evaporation ratesAndrea Petznick, Jen Hong Tan, Shiao Khee Boo, et al.
Computer Methods and Programs in Biomedicine|June 2, 2018
Automated EEG-based screening of depression using deep convolutional neural networkU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Eye & Contact Lens|January 31, 2016
Clinical Trial of Thermal Pulsation (LipiFlow) in Meibomian Gland Dysfunction With Preteatment MeibographyYang Zhao, Anuradha Veerappan, Sharon Yeo, et al.
Ophthalmology and Therapy|August 27, 2014
A Randomized, Controlled Treatment Trial of Eyelid-Warming Therapies in Meibomian Gland DysfunctionHui Shan Sim, Andrea Petznick, Sylvaine Barbier, et al.
BMJ Open Ophthalmology|August 21, 2018
Acupuncture and herbal formulation compared with artificial tears alone: evaluation of dry eye symptoms and associated tests in randomised clinical trialLouis Tong, Hla Myint Htoon, Aihua Hou, et al.
Computers in Biology and Medicine|September 5, 2017
A deep convolutional neural network model to classify heartbeatsU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computers in Biology and Medicine|November 10, 2017
Computer aided diagnosis of diabetic foot using infrared thermography: A reviewMuhammad Adam, Eddie Y K Ng, Jen Hong Tan, et al.
JMIR Formative Research|August 19, 2025
A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability StudyGerald Gui Ren Sng, Yi Xiang, Daniel Yan Zheng Lim, et al.
JMIR AI|October 17, 2024
Machine Learning-Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and EvaluationJoshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, et al.
Pageof 5