Sebastian M. Waldstein
Orcid: 0000-0003-2899-6279
According to our database1,
Sebastian M. Waldstein
authored at least 23 papers
between 2014 and 2020.
Collaborative distances:
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Bibliography
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
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease.
Int. J. Biomed. Imaging, 2016
A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation.
Comput. Methods Programs Biomed., 2016
Improve synthetic retinal OCT images with present of pathologies and textural information.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014