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Philipp Seeböck
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2020 – today
- 2024
- [j6]Philipp Seeböck
, José Ignacio Orlando
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. Medical Image Anal. 93: 103104 (2024) - [c7]Branko Mitic, Philipp Seeböck
Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns. MLMI@MICCAI (2) 2024: 138-147 - [c6]Stefan Brandstätter
Rigid Single-Slice-in-Volume Registration via Rotation-Equivariant 2D/3D Feature Matching. WBIR 2024: 280-294 - [i10]Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs:
Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching. CoRR abs/2410.18683 (2024) - [i9]Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs:
Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns. CoRR abs/2410.19535 (2024) - 2022
- [j5]Simon Schürer-Waldheim
Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning. IEEE J. Biomed. Health Informatics 26(8): 3927-3937 (2022) - 2021
- [c5]Dmitrii A. Lachinov
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. MICCAI (1) 2021: 431-441 - [i8]Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. CoRR abs/2108.00831 (2021) - 2020
- [j4]Philipp Seeböck
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging 39(1): 87-98 (2020) - [j3]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)
2010 – 2019
- 2019
- [j2]Thomas Schlegl
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Anal. 54: 30-44 (2019) - [j1]Philipp Seeböck
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging 38(4): 1037-1047 (2019) - [c4]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. ISBI 2019: 605-609 - [c3]José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI 2019: 1441-1445 - [c2]Dominik Hofer, José Ignacio Orlando, Philipp Seeböck, Georgios Mylonas, Felix Goldbach, Amir Sadeghipour, Bianca S. Gerendas
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. OMIA@MICCAI 2019: 35-42 - [i7]José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth:
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. CoRR abs/1901.07929 (2019) - [i6]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. CoRR abs/1901.08379 (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
- [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
- [c1]Thomas Schlegl
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
- [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)
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