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Voxeleron works on detection of neurological diseases in OCT using AI and Dell workstations

In one of the many highlights of our collaboration with Dell, we show off our work with "Homer", our Dell Precision workstation.  

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Deep Learning for Prediction of AMD Progression

It is with great pleasure that we announce that Voxeleron's work on deep learning for age-related macular degeneration (AMD) predictive analytics has been published in this February's issue of Investigative Ophthalmology & Visual Science (IOVS). More than 10 million people in the US have AMD, and globally it is the…

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Voxeleron and Dell Technologies

Voxeleron proudly use Dell Precision workstations equipped with NVIDIA Quadro GV100 GPUs for the majority of our deep learning research.  This has, in particular, tremendously accelerated research we are undertaking using fully 3d convolutional neural networks in our research on prognostics and early detection of ocular diseases.

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Voxeleron in the news

Voxeleron looks into ocular disease prognosis.  

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Voxeleron at ARVO 2018

With ARVO upon us, we’d like to take the opportunity to reach out, reconnect, and pass on some news and updates.  We hope that these are of interest and, better still, that we can meet up at ARVO. You can either visit us at our booth (#928) or come to…

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ARVO 2018

The ARVO 2018 on-line planner is now live at this link.  Talks and posters from our lab or work done using Orion can be found there.  Here's the list: Deep learning for prediction of AMD progression Daniel Russakoff, Ali Lamin, Jonathan Oakley, Adam Dubis, Susan Lightman, Sobha Sivaprasad. Automated Analysis…

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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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