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Daniel B Russakoff

Showing results (11-20 of 23) with videos related to

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Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|May 29, 2015
Changes in macular layers in the early course of non-arteritic ischaemic optic neuropathyJohannes Keller, Jonathan D Oakley, Daniel B Russakoff, et al.
Plos One|February 14, 2022
Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO studySimrat K Sodhi, Austin Pereira, Jonathan D Oakley, et al.
Investigative Ophthalmology & Visual Science|July 21, 2025
Deep Learning Model for Automated Classification of Macular Neovascularization Subtypes in AMDGiovanni Neri, Chiara Rebecchi, Jonathan D Oakley, et al.
Eye (London, England)|January 9, 2025
Deep learning model for automatic detection of different types of microaneurysms in diabetic retinopathyGiovanni Neri, Sohum Sharma, Beatrice Ghezzo, et al.
Eye (London, England)|September 5, 2023
Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degenerationEnrico Borrelli, Jonathan D Oakley, Giorgio Iaccarino, et al.
Eye and Vision (London, England)|May 19, 2020
Deep learning-based analysis of macaque corneal sub-basal nerve fibers in confocal microscopy imagesJonathan D Oakley, Daniel B Russakoff, Megan E McCarron, et al.
Retina (Philadelphia, Pa.)|January 27, 2023
QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMOGRAPHY IMAGE ANALYSIS USING A HOME-BASED DEVICE FOR SELF-MONITORING NEOVASCULAR AGE-RELATED MACULAR DEGENERATIONJonathan D Oakley, Steven Verdooner, Daniel B Russakoff, et al.
Journal of Vitreoretinal Diseases|January 1, 2025
Machine Learning Quantification of Fluid Volume in Eyes With Retinal Vein Occlusion Treated With Aflibercept: The REVOLT StudyMohammad A Khan, Simrat K Sodhi, Samantha Orr, et al.
Cornea|February 2, 2021
Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus InfectionMegan E McCarron, Rachel L Weinberg, Jessica M Izzi, et al.
American Journal of Ophthalmology|September 1, 2024
Topographical Quantification of Retinal Fluid in Type 3 MNV and Associations With Short-Term Visual OutcomesAlessandro Berni, Jonathan D Oakley, Rosa Dolz-Marco, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|May 29, 2015
Changes in macular layers in the early course of non-arteritic ischaemic optic neuropathyJohannes Keller, Jonathan D Oakley, Daniel B Russakoff, et al.
Plos One|February 14, 2022
Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO studySimrat K Sodhi, Austin Pereira, Jonathan D Oakley, et al.
Investigative Ophthalmology & Visual Science|July 21, 2025
Deep Learning Model for Automated Classification of Macular Neovascularization Subtypes in AMDGiovanni Neri, Chiara Rebecchi, Jonathan D Oakley, et al.
Eye (London, England)|January 9, 2025
Deep learning model for automatic detection of different types of microaneurysms in diabetic retinopathyGiovanni Neri, Sohum Sharma, Beatrice Ghezzo, et al.
Eye (London, England)|September 5, 2023
Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degenerationEnrico Borrelli, Jonathan D Oakley, Giorgio Iaccarino, et al.
Eye and Vision (London, England)|May 19, 2020
Deep learning-based analysis of macaque corneal sub-basal nerve fibers in confocal microscopy imagesJonathan D Oakley, Daniel B Russakoff, Megan E McCarron, et al.
Retina (Philadelphia, Pa.)|January 27, 2023
QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMOGRAPHY IMAGE ANALYSIS USING A HOME-BASED DEVICE FOR SELF-MONITORING NEOVASCULAR AGE-RELATED MACULAR DEGENERATIONJonathan D Oakley, Steven Verdooner, Daniel B Russakoff, et al.
Journal of Vitreoretinal Diseases|January 1, 2025
Machine Learning Quantification of Fluid Volume in Eyes With Retinal Vein Occlusion Treated With Aflibercept: The REVOLT StudyMohammad A Khan, Simrat K Sodhi, Samantha Orr, et al.
Cornea|February 2, 2021
Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus InfectionMegan E McCarron, Rachel L Weinberg, Jessica M Izzi, et al.
American Journal of Ophthalmology|September 1, 2024
Topographical Quantification of Retinal Fluid in Type 3 MNV and Associations With Short-Term Visual OutcomesAlessandro Berni, Jonathan D Oakley, Rosa Dolz-Marco, et al.
Pageof 3