Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Bianca S. Gerendas

Blood vessel segmentation in en-face OCTA images: a frequency based method


Sep 13, 2021
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler


  Access Paper or Ask Questions

An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans


Aug 02, 2019
José Ignacio Orlando, Anna Breger, Hrvoje Bogunović, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth

* Accepted for publication at MICCAI-OMIA 2019 

  Access Paper or Ask Questions

Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation


Jan 25, 2019
Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth

* * Contributed equally (order was defined by flipping a coin) --------------- Accepted for publication in the "IEEE International Symposium on Biomedical Imaging (ISBI) 2019" 

  Access Paper or Ask Questions

U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans


Jan 23, 2019
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunović, Sophie Klimscha, Christoph Grechenig, Sebastian Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth

* IEEE International Symposium on Biomedical Imaging (ISBI 2019) 
* Accepted for publication at IEEE International Symposium on Biomedical Imaging (ISBI) 2019 

  Access Paper or Ask Questions

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems


Jan 22, 2019
Anna Breger, Jose Ignacio Orlando, Pavol Harar, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler


  Access Paper or Ask Questions

Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data


Oct 31, 2018
Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs

* Accepted for publication in IEEE Transactions on Medical Imaging, 2018 

  Access Paper or Ask Questions

Identifying and Categorizing Anomalies in Retinal Imaging Data


Dec 02, 2016
Philipp Seeböck, Sebastian Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs

* Extended Abstract, Accepted for NIPS 2016 Workshop "Machine Learning for Health" 

  Access Paper or Ask Questions