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Picture for Sophie Klimscha

Sophie Klimscha

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

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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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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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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