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…
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 Privacy Statement
Last Updated: February 28, 2023 We respect privacy and your rights to control your personal data. We do not and will not sell your data to third parties. This Privacy Statement (the 'Statement') explains the personal information we collect from you, either directly or indirectly, and how we use it.…
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…
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…
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…
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…
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…
