The urgent need for better ocular therapeutics is driving demand for 3D ophthalmic imaging. However, analyzing these images is inefficient, imprecise, and costly.
By leveraging machine learning, state of the art algorithms, and their fluency in all ophthalmic data formats, Voxeleron is uniquely positioned to optimize the complexities of image interpretation as well as clinical trial workflows.
Voxeleron creates the environment to accelerate clinical research, generate actionable results and, ultimately, drive better patient outcomes.
Jonathan Oakley has a B.Sc. in Computer Science from the University of York, England, a Masters from University College, London, and a Ph.D. in medical image processing from the Swiss Federal Institute of Technology (ETHZ). Since then, he has spent almost two decades working on image processing and machine learning algorithm development for KLA-Tencor, Fujifilm and Carl Zeiss Meditec Inc. His research interests are primarily in medical image processing, with a clear emphasis on ophthalmic applications as evidenced by his publication list.
Daniel Russakoff received an A.B. in Geophysics from Harvard University and his Ph.D. in Computer Science from Stanford. His research interests are in computer vision and pattern recognition in general, and biomedical image analysis in particular. He has authored numerous conference and journal papers and holds several patents on topics ranging from stereo vision to medical image registration. He has worked as a Computer Scientist at the National Institute of Standards and Technology and as Chief Scientist at Fujifilm’s San Jose Research Lab. His more recent work has been using probabilistic shape analysis and machine learning for segmentation of deformable structures in 2D and 3D radiological images.
Manabu Tokunaga is Voxeleron’s director of software and the chief architect of the iNebula product. He has more than 35 years of PACS engineering experience, is recognized throughout the industry as an expert, and was the founder of Stentor, who were acquired by Philips Medical Systems Global PACS Business Unit.
Scientific Advisory Board
To remain at the forefront of ophthalmic imaging innovation, we continuously reach out to the broad ophthalmic disease research and clinical communities. If you are interested in joining our Scientific Advisory Board, please get in touch with us!