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Plos One
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April 21, 2023
An ImageJ macro tool for OCTA-based quantitative analysis of Myopic Choroidal neovascularization
Aadit Deshpande, Sundaresan Raman, Amber Dubey, et al.
Diagnostics (Basel, Switzerland)
|
January 8, 2023
The Need for Artificial Intelligence Based Risk Factor Analysis for Age-Related Macular Degeneration: A Review
Abhishek Vyas, Sundaresan Raman, Janani Surya, et al.
Ophthalmology Science
|
May 6, 2026
Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield Imaging
Rehana Khan, Sundaresan Raman, Anjaneya Bajaj, et al.
Diagnostics (Basel, Switzerland)
|
June 28, 2023
Machine Learning-Based Diagnosis and Ranking of Risk Factors for Diabetic Retinopathy in Population-Based Studies from South India
Abhishek Vyas, Sundaresan Raman, Sagnik Sen, et al.
Microvascular Research
|
September 5, 2021
Relationship of fractal analysis in retinal microvascularity with demographic and diagnostic parameters
Deepika V, V JeyaLakshmi, P Latha, et al.
Ophthalmic Epidemiology
|
December 12, 2023
Population-Based Artificial Intelligence Assessment of Relationship Between the Risk Factors for Diabetic Retinopathy in Indian Population
Abhishek Vyas, Aadit Deshpande, Sagnik Sen, et al.
Indian Journal of Ophthalmology
|
August 26, 2022
Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach
Radhika Natarajan, Hiren D Matai, Sundaresan Raman, et al.
Translational Vision Science & Technology
|
October 6, 2021
Comparison of Two Ultra-Widefield Cameras With High Image Resolution and Wider View for Identifying Diabetic Retinopathy Lesions
Rehana Khan, Sundaresan Raman, Sri Krishna M Karamcheti, et al.
Nature Cell Biology
|
October 16, 2012
Canonical and atypical E2Fs regulate the mammalian endocycle
Hui-Zi Chen, Madhu M Ouseph, Jing Li, et al.
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Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Plos One
|
April 21, 2023
An ImageJ macro tool for OCTA-based quantitative analysis of Myopic Choroidal neovascularization
Aadit Deshpande, Sundaresan Raman, Amber Dubey, et al.
Diagnostics (Basel, Switzerland)
|
January 8, 2023
The Need for Artificial Intelligence Based Risk Factor Analysis for Age-Related Macular Degeneration: A Review
Abhishek Vyas, Sundaresan Raman, Janani Surya, et al.
Ophthalmology Science
|
May 6, 2026
Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield Imaging
Rehana Khan, Sundaresan Raman, Anjaneya Bajaj, et al.
Diagnostics (Basel, Switzerland)
|
June 28, 2023
Machine Learning-Based Diagnosis and Ranking of Risk Factors for Diabetic Retinopathy in Population-Based Studies from South India
Abhishek Vyas, Sundaresan Raman, Sagnik Sen, et al.
Microvascular Research
|
September 5, 2021
Relationship of fractal analysis in retinal microvascularity with demographic and diagnostic parameters
Deepika V, V JeyaLakshmi, P Latha, et al.
Ophthalmic Epidemiology
|
December 12, 2023
Population-Based Artificial Intelligence Assessment of Relationship Between the Risk Factors for Diabetic Retinopathy in Indian Population
Abhishek Vyas, Aadit Deshpande, Sagnik Sen, et al.
Indian Journal of Ophthalmology
|
August 26, 2022
Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach
Radhika Natarajan, Hiren D Matai, Sundaresan Raman, et al.
Translational Vision Science & Technology
|
October 6, 2021
Comparison of Two Ultra-Widefield Cameras With High Image Resolution and Wider View for Identifying Diabetic Retinopathy Lesions
Rehana Khan, Sundaresan Raman, Sri Krishna M Karamcheti, et al.
Nature Cell Biology
|
October 16, 2012
Canonical and atypical E2Fs regulate the mammalian endocycle
Hui-Zi Chen, Madhu M Ouseph, Jing Li, et al.
Page
of 1