Publications by authors named "Daniel B Russakoff"

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Deep Learning-Based Segmentation of Geographic Atrophy: A Multi-Center, Multi-Device Validation in a Real-World Clinical Cohort.
Hasenin Al-Khersan, Simrat K Sodhi, Jessica A Cao, Stanley M Saju, Niveditha Pattathil, Daniel B Russakoff

Diagnostics (Basel)· October 2025

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Deep Learning Model for Automated Classification of Macular Neovascularization Subtypes in AMD.
Giovanni Neri, Chiara Rebecchi, Jonathan D Oakley, Chiara Olivieri, Federico Ricardi, Daniel B Russakoff

Invest Ophthalmol Vis Sci· July 2025

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Deep learning model for automatic detection of different types of microaneurysms in diabetic retinopathy.
Giovanni Neri, Sohum Sharma, Beatrice Ghezzo, Cristina Novarese, Chiara Olivieri, Daniel B Russakoff

Eye (Lond)· February 2025

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Topographical Quantification of Retinal Fluid in Type 3 MNV and Associations With Short-Term Visual Outcomes.
Alessandro Berni, Jonathan D Oakley, Rosa Dolz-Marco, Roberto Gallego-Pinazo, Francesca Cimorosi, Daniel B Russakoff

Am J Ophthalmol· January 2025

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Machine Learning Quantification of Fluid Volume in Eyes With Retinal Vein Occlusion Treated With Aflibercept: The REVOLT Study.
Mohammad A Khan, Simrat K Sodhi, Samantha Orr, John Golding, Austin Pereira, Daniel B Russakoff

J Vitreoretin Dis· December 2024

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Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration.
Enrico Borrelli, Jonathan D Oakley, Giorgio Iaccarino, Daniel B Russakoff, Marco Battista

Eye (Lond)· February 2024

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QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMOGRAPHY IMAGE ANALYSIS USING A HOME-BASED DEVICE FOR SELF-MONITORING NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.
Jonathan D Oakley, Steven Verdooner, Daniel B Russakoff, Alexander J Brucker, John Seaman

Retina· March 2023

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Proof-of-Concept Analysis of a Deep Learning Model to Conduct Automated Segmentation of OCT Images for Macular Hole Volume.
Austin Pereira, Jonathan D Oakley, Simrat K Sodhi, Daniel B Russakoff, Netan Choudhry

Ophthalmic Surg Lasers Imaging Retina· April 2022

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Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.
Simrat K Sodhi, Austin Pereira, Jonathan D Oakley, John Golding, Carmelina Trimboli, Daniel B Russakoff

PLoS One· March 2022

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Corneal confocal microscopy demonstrates axonal loss in different courses of multiple sclerosis.
Ioannis N Petropoulos, Kathryn C Fitzgerald, Jonathan Oakley, Georgios Ponirakis, Adnan Khan, Daniel B Russakoff

Sci Rep· November 2021

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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.
Megan E McCarron, Rachel L Weinberg, Jessica M Izzi, Suzanne E Queen, Patrick M Tarwater, Daniel B Russakoff

Cornea· May 2021

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Deep learning-based analysis of macaque corneal sub-basal nerve fibers in confocal microscopy images.
Jonathan D Oakley, Daniel B Russakoff, Megan E McCarron, Rachel L Weinberg, Jessica M Izzi

Eye Vis (Lond)· May 2020

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A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans.
Daniel B Russakoff, Suria S Mannil, Jonathan D Oakley, An Ran Ran, Carol Y Cheung

Transl Vis Sci Technol· February 2020

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Changes in volume of various retinal layers over time in early and intermediate age-related macular degeneration.
Ali Lamin, Jonathan D Oakley, Adam M Dubis, Daniel B Russakoff, Sobha Sivaprasad

Eye (Lond)· March 2019

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Deep Learning for Prediction of AMD Progression: A Pilot Study.
Daniel B Russakoff, Ali Lamin, Jonathan D Oakley, Adam M Dubis, Sobha Sivaprasad

Invest Ophthalmol Vis Sci· February 2019

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Changes in macular layers in the early course of non-arteritic ischaemic optic neuropathy.
Johannes Keller, Jonathan D Oakley, Daniel B Russakoff, Magí Andorrà-Inglés, Pablo Villoslada

Graefes Arch Clin Exp Ophthalmol· March 2016

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Generation and application of a probabilistic breast cancer atlas.
Daniel B Russakoff, Akira Hasegawa

Med Image Comput Comput Assist Interv· April 2007

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Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration.
Daniel B Russakoff, Torsten Rohlfing, Kensaku Mori, Daniel Rueckert, Anthony Ho

IEEE Trans Med Imaging· November 2005

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Markerless real-time 3-D target region tracking by motion backprojection from projection images.
Torsten Rohlfing, Joachim Denzler, Christoph Grässl, Daniel B Russakoff, Calvin R Maurer

IEEE Trans Med Imaging· November 2005

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Progressive attenuation fields: fast 2D-3D image registration without precomputation.
Torsten Rohlfing, Daniel B Russakoff, Joachim Denzler, Kensaku Mori, Calvin R Maurer

Med Phys· September 2005

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Intensity-based 2D-3D spine image registration incorporating a single fiducial marker.
Daniel B Russakoff, Torsten Rohlfing, John R Adler, Calvin R Maurer

Acad Radiol· January 2005

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Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation.
Torsten Rohlfing, Daniel B Russakoff, Calvin R Maurer

IEEE Trans Med Imaging· August 2004

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Expectation maximization strategies for multi-atlas multi-label segmentation.
Torsten Rohlfing, Daniel B Russakoff, Calvin R Maurer

Inf Process Med Imaging· July 2003

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