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Maitreyee Roy

Showing results (21-30 of 34) with videos related to

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Translational Vision Science & Technology|January 23, 2025
Noninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited SettingsRehana Khan, Vinod Maseedupally, Kaveri A Thakoor, et al.
Water Research|June 15, 2013
Assessing the aggregation behaviour of iron oxide nanoparticles under relevant environmental conditions using a multi-method approachLaura Chekli, Sherub Phuntsho, Maitreyee Roy, et al.
Nanomaterials (Basel, Switzerland)|April 11, 2025
Hydrophobic Silicon Quantum Dots for Potential Imaging of Tear Film Lipid LayerSidra Sarwat, Fiona Stapleton, Mark D P Willcox, et al.
Applied Optics|July 9, 2002
Straightness measurements with a reflection confocal optical system-an experimental studyKiyofumi Matsuda, Maitreyee Roy, Tomoaki Eiju, et al.
Scientific Reports|May 16, 2022
Glaucoma diagnosis using multi-feature analysis and a deep learning techniqueNahida Akter, John Fletcher, Stuart Perry, et al.
Communications Biology|June 19, 2023
In-vivo corneal confocal microscopy: Imaging analysis, biological insights and future directionsJeremy Chung Bo Chiang, Maitreyee Roy, Juno Kim, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|August 27, 2024
Comparison of eye drop retention time using fluorophotometry in three commercially available lubricant eye dropsTianni Jia, Fiona Stapleton, Fatima Iqbal, et al.
Plos One|January 22, 2026
Machine learning-based prediction of diabetic retinopathy from pupillary abnormalities in a South Indian populationJanani Surya, S Tamilselvi, Maitreyee Roy, et al.
Ophthalmology Science|May 6, 2026
Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield ImagingRehana Khan, Sundaresan Raman, Anjaneya Bajaj, et al.
Plos One|January 17, 2025
Glaucoma detection and staging from visual field images using machine learning techniquesNahida Akter, Jack Gordon, Sherry Li, et al.
Pageof 4

Showing results (21-30 of 34) with videos related to

Sort By:
Pageof 4
Translational Vision Science & Technology|January 23, 2025
Noninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited SettingsRehana Khan, Vinod Maseedupally, Kaveri A Thakoor, et al.
Water Research|June 15, 2013
Assessing the aggregation behaviour of iron oxide nanoparticles under relevant environmental conditions using a multi-method approachLaura Chekli, Sherub Phuntsho, Maitreyee Roy, et al.
Nanomaterials (Basel, Switzerland)|April 11, 2025
Hydrophobic Silicon Quantum Dots for Potential Imaging of Tear Film Lipid LayerSidra Sarwat, Fiona Stapleton, Mark D P Willcox, et al.
Applied Optics|July 9, 2002
Straightness measurements with a reflection confocal optical system-an experimental studyKiyofumi Matsuda, Maitreyee Roy, Tomoaki Eiju, et al.
Scientific Reports|May 16, 2022
Glaucoma diagnosis using multi-feature analysis and a deep learning techniqueNahida Akter, John Fletcher, Stuart Perry, et al.
Communications Biology|June 19, 2023
In-vivo corneal confocal microscopy: Imaging analysis, biological insights and future directionsJeremy Chung Bo Chiang, Maitreyee Roy, Juno Kim, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|August 27, 2024
Comparison of eye drop retention time using fluorophotometry in three commercially available lubricant eye dropsTianni Jia, Fiona Stapleton, Fatima Iqbal, et al.
Plos One|January 22, 2026
Machine learning-based prediction of diabetic retinopathy from pupillary abnormalities in a South Indian populationJanani Surya, S Tamilselvi, Maitreyee Roy, et al.
Ophthalmology Science|May 6, 2026
Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield ImagingRehana Khan, Sundaresan Raman, Anjaneya Bajaj, et al.
Plos One|January 17, 2025
Glaucoma detection and staging from visual field images using machine learning techniquesNahida Akter, Jack Gordon, Sherry Li, et al.
Pageof 4