We are a multidisciplinary group of experts in retinology, computer science and medical physics, developing computerized analysis methods for ophthalmic images.
#AI based quantification of fluid volume in neovascular #AMD allows identification of characteristic response patterns and a correlation of fluid volumes with functional change https://t.co/hGKFX1ugO2 #OpenAccess
We have an open postdoc position at our interdisciplinary lab @OptimaLab. If you are interested in fighting blindness with deep learning and medical imaging please have a look at https://t.co/IBLLkATmW4
Our paper with Rhona Asgari and @hbogunovic on multiclass segmentation as multitask learning for drusen segmentation in retinal OCT was accepted for @miccai2019! @OptimaLab
So proud of our Philipp Seeböck winning the Members-in-Training Outstanding Poster Award at #ARVO2019 for his work on structure-function prediction from OCT.
https://t.co/mUlB5VwaA9
https://t.co/wl61diYXzI
Philipp Seeböck and David Romo from @OptimaLab presenting their poster at #ISBI2019. CycleGANs can be used to reduce the variability between OCT vendors. This allows us to reuse models trained on different scanners!
ISBI 2/2. David and Philipp nicely demonstrate how CycleGAN can help the image segmentation to work across OCT device vendors https://t.co/O06yGX7jPf #isbi2019