Philipp Seeböck
Orcid: 0000-0001-5512-5810
According to our database1,
Philipp Seeböck
authored at least 13 papers
between 2016 and 2022.
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Bibliography
2022
IEEE J. Biomed. Health Informatics, 2022
2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
CoRR, 2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT".
IEEE Trans. Medical Imaging, 2020
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.
IEEE Trans. Medical Imaging, 2020
2019
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images.
CoRR, 2018
2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2017
2016