Deep Learning for Prediction of AMD Progression

We are delighted to announce that our abstract, Deep Learning for Prediction of AMD Progression was accepted for presentation at the 2018 Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO).   The research was performed in collaboration with Professor Sobha Sivaprasad's group at the UCL Institute of Ophthalmology and…

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Automated Analysis of In Vivo Confocal Microscopy Corneal Images Using Deep Learning

We are pleased to report that our abstract, Automated Analysis of In Vivo Confocal Microscopy Corneal Images Using Deep Learning, was accepted for presentation at the 2018 Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO).   The research was performed in collaboration with Professor Joseph Mankowski's group at…

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European MS Consortium to use Voxeleron’s Orion for OCT Image Analysis

Voxeleron is excited to announce their collaborative role in the Sys4MS (Systems for Multiple Sclerosis) multi-center research initiative aimed at developing new tools for personalized management of patients with MS and other complex diseases. Sys4MS focuses on five specific areas: genomics, proteomics, cytomics, imaging and phenotype. The imaging portion, run…

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State-of-the-Art Retinal Screening

Retinal Microvasculature, Microcirculation and Microstructure A recently released paper, entitled “Age-related alterations in the retinal microvasculature, microcirculation and microstructure”, is unique in assessing state of the art clinical modalities for retinal analysis and reporting on naturally occurring changes due to aging.  It gives fascinating insight into both functional and structural…

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Voxeleron at ARVO 2017

With ARVO 2017 upon us, we’re taking now the opportunity to reconnect with some of the many updates from the Voxeleron team.  We hope that these are of interest and would be happy to hear back from you.  Better still, we hope to see you in person in Baltimore!  We’re…

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Voxeleron Awarded NIH SBIR Grant for Device-independent Retinal OCT Image Analysis Software

Voxeleron announced today that it has been awarded a Phase I Small Business Innovation Research (SBIR) grant for $222,991 from the National Institutes of Health’s (NIH) National Center for the Advancement of Translational Sciences (NCATS), to further develop device-independent retinal image analysis software.   This grant will significantly expand and…

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Notes from the Glaucoma 360 Keynote Speech 2017

"Optical Coherence Tomography -- Past, Present, and Future" This past Friday saw the sixth annual Glaucoma 360 New Horizons meeting, held at the Palace Hotel in San Francisco.  This year’s Drs. Henry and Frederick Sutro Memorial lecture was given by Professor Joel Schuman, now the chairman of ophthalmology at NYU…

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Addendum to the Enabling Technologies of OCT-A Post

Addendum to the Enabling Technologies of OCT-Angiography Post One of the most exciting new applications of optical coherence tomography (OCT) imaging has been OCT angiography (OCT-A), the ability to non-invasively visualize blood flow [Lumbroso 2016].  As a relatively new technology, it is a hot topic of clinical research with multiple…

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Deep learning for OCT pathology recognition

We are pleased to report that our abstract, "Deep convolutional neural networks for automated OCT pathology recognition" was accepted for presentation at the 2017 Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO).  The research was performed in collaboration with Dr. Robert T. Chang of Stanford University's…

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Voxeleron announces joint development agreement with Johns Hopkins

Voxeleron are pleased to announce their inter-institutional agreement with Johns Hopkins University to jointly develop automated methods to count corneal subbasal nerves.  Based on an initial collaboration that demonstrated how corneal nerve assessment has the potential to diagnose and monitor peripheral neuropathy, this new effort aims to take the research…

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