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Thomas Schlegl
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Publications
- 2020
- [j5]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging 39(1): 87-98 (2020) - [j4]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging 39(4): 1291 (2020) - 2019
- [j3]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Anal. 54: 30-44 (2019) - [j2]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging 38(4): 1037-1047 (2019) - [i5]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. CoRR abs/1905.12806 (2019) - 2018
- [c28]Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel:
WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. ICPR 2018: 3868-3873 - [i4]Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR abs/1805.03278 (2018) - [i3]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR abs/1810.13404 (2018) - 2017
- [c23]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. IPMI 2017: 146-157 - [i2]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR abs/1703.05921 (2017) - 2016
- [c21]Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs:
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) 2016: 192-200 - [i1]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs:
Identifying and Categorizing Anomalies in Retinal Imaging Data. CoRR abs/1612.00686 (2016) - 2015
- [c16]Thomas Schlegl, Sebastian M. Waldstein, Wolf-Dieter Vogl, Ursula Schmidt-Erfurth, Georg Langs:
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. IPMI 2015: 437-448 - 2014
- [c15]Thomas Schlegl, Joachim Ofner, Georg Langs:
Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification. MCV 2014: 82-93 - [c14]Dimitrios Markonis, René Donner, Markus Holzer, Thomas Schlegl, Sebastian Dungs, Sascha Kriewel, Georg Langs, Henning Müller:
A Visual Information Retrieval System for Radiology Reports and the Medical Literature. MMM (2) 2014: 390-393
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