Publications by authors named "Philipp Seebock"

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SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT.
Botond Fazekas, Guilherme Aresta, Philipp Seebock, Julia Mai, Ursula Schmidt-Erfurth

IEEE Trans Med Imaging· October 2025

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Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection.
Philipp Seeböck, José Ignacio Orlando, Martin Michl, Julia Mai, Ursula Schmidt-Erfurth

Med Image Anal· April 2024

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METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII.
Burak Kocak, Tugba Akinci D'Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler

Insights Imaging· January 2024

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Quality assessment of colour fundus and fluorescein angiography images using deep learning.
Michael König, Philipp Seeböck, Bianca S Gerendas, Georgios Mylonas, Rudolf Winklhofer

Br J Ophthalmol· December 2023

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Point-to-point associations of drusen and hyperreflective foci volumes with retinal sensitivity in non-exudative age-related macular degeneration.
Gregor S Reiter, Hrvoje Bogunovic, Ferdinand Schlanitz, Wolf-Dieter Vogl, Philipp Seeböck

Eye (Lond)· December 2023

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Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology.
Burak Kocak, Leonid L Chepelev, Linda C Chu, Renato Cuocolo, Brendan S Kelly

Eur Radiol· November 2023

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Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study.
Bianca Burger, Maria Bernathova, Philipp Seeböck, Christian F Singer, Thomas H Helbich

Eur Radiol Exp· June 2023

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Segmentation of macular neovascularization and leakage in fluorescein angiography images in neovascular age-related macular degeneration using deep learning.
David Holomcik, Philipp Seeböck, Bianca S Gerendas, Georgios Mylonas, Bilal Haj Najeeb

Eye (Lond)· May 2023

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Automatic segmentation of intraocular lens, the retrolental space and Berger's space using deep learning.
Luca Schwarzenbacher, Philipp Seeböck, Daniel Schartmüller, Christina Leydolt, Rupert Menapace

Acta Ophthalmol· December 2022

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Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.
Simon Schurer-Waldheim, Philipp Seebock, Hrvoje Bogunovic, Bianca S Gerendas, Ursula Schmidt-Erfurth

IEEE J Biomed Health Inform· August 2022

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Linking Function and Structure with ReSensNet: Predicting Retinal Sensitivity from OCT using Deep Learning.
Philipp Seeböck, Wolf-Dieter Vogl, Sebastian M Waldstein, Jose Ignacio Orlando, Magdalena Baratsits

Ophthalmol Retina· June 2022

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Improving foveal avascular zone segmentation in fluorescein angiograms by leveraging manual vessel labels from public color fundus pictures.
Dominik Hofer, Ursula Schmidt-Erfurth, José Ignacio Orlando, Felix Goldbach, Bianca S Gerendas

Biomed Opt Express· May 2022

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Automated quantification of macular fluid in retinal diseases and their response to anti-VEGF therapy.
Martin Michl, Maria Fabianska, Philipp Seeböck, Amir Sadeghipour, Bilal Haj Najeeb

Br J Ophthalmol· January 2022

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AI-based monitoring of retinal fluid in disease activity and under therapy.
Ursula Schmidt-Erfurth, Gregor S Reiter, Sophie Riedl, Philipp Seeböck, Wolf-Dieter Vogl

Prog Retin Eye Res· January 2022

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Unbiased identification of novel subclinical imaging biomarkers using unsupervised deep learning.
Sebastian M Waldstein, Philipp Seeböck, René Donner, Amir Sadeghipour, Hrvoje Bogunović

Sci Rep· July 2020

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Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT".
Philipp Seebock, Jose Ignacio Orlando, Thomas Schlegl, Sebastian M Waldstein, Hrvoje Bogunovic

IEEE Trans Med Imaging· April 2020

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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.
Philipp Seebock, Jose Ignacio Orlando, Thomas Schlegl, Sebastian M Waldstein, Hrvoje Bogunovic

IEEE Trans Med Imaging· January 2020

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Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina.
David Romo-Bucheli, Philipp Seeböck, José Ignacio Orlando, Bianca S Gerendas, Sebastian M Waldstein

Biomed Opt Express· January 2020

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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
Thomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, Georg Langs, Ursula Schmidt-Erfurth

Med Image Anal· May 2019

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Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.
Philipp Seebock, Sebastian M Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl

IEEE Trans Med Imaging· April 2019

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