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Picture for Ursula Schmidt-Erfurth

Ursula Schmidt-Erfurth

Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University Vienna, Austria

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


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Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT


Aug 02, 2021
Dmitrii Lachinov, Philipp Seeboeck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

* Submitted to MICCAI 2021 

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U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography


Dec 11, 2019
Rhona Asgari, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunović


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Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning


Oct 24, 2019
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunović

* Accepted for publication in the MICCAI 2019 PRIME workshop 

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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 

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Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography


Jul 24, 2019
Rhona Asgari, José Ignacio Orlando, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunović

* Accepted for publication in MICCAI 2019 

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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT


May 29, 2019
Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunović, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth

* Accepted for publication in IEEE Transactions on Medical Imaging, 2019 

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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" 

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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 

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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


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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 

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Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images


May 08, 2018
Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth


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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery


Mar 17, 2017
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs

* To be published in the proceedings of the international conference on Information Processing in Medical Imaging (IPMI), 2017 

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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" 

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