Voxeleron at ARVO 2019
Voxeleron at ARVO 2019 An international edition of ARVO is upon us! So we’re taking a break from poster formatting to reach out and send on some updates regarding the latest Orion release. If attending, please take a moment to visit our booth and see Orion for yourself (#932). We…
Orion Workflow Advantages
Orion is a feature packed research tool supporting OCT analysis. Its key features are: Device independence - same algorithm for all devices. State of the art analysis tools. Multi-layer segmentation. Angiography quantification. Longitudinal analysis. Best in class editing, annotation and visualization tools. But what is sometimes overlooked is how impactful…
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.
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.
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…
