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Picture for Philipp Seeböck

Philipp Seeböck

Department of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab, Medical University Vienna, Austria, 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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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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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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