Timo Kepp
Orcid: 0000-0003-2024-2958
According to our database1,
Timo Kepp authored at least 29 papers
between 2014 and 2026.
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Bibliography
2026
Don't Mind the Gaps: Implicit Neural Representations for Resolution-Agnostic Retinal OCT Analysis.
CoRR, January, 2026
Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026
Visual Acuity Assessment from Uni- and Multimodal Retinal Image Data using the Foundation Model MIRAGE.
Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026
Pathology-aware Implicit Neural Registration for Change Analysis in Retinal OCT Data - FRINR.
Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026
2025
Assessing Spatial Bias in Medical Imaging - An Empirical Study of PatchGAN Discriminator Effectiveness.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025
Bridging Gaps in Retinal Imaging - Fusing OCT and SLO Information with Implicit Neural Representations for Improved Interpolation and Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025
2024
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas.
CoRR, 2024
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Denoising of Home OCT Images using Noise-to-noise Trained on Artificial Eye Data.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
Analyse anatomischer und pathologischer Strukturen in OCT-Bilddaten mittels maschineller Lernverfahren.
PhD thesis, 2022
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies.
Int. J. Comput. Assist. Radiol. Surg., 2022
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2020
Segmentation of retinal low-cost optical coherence tomography images using deep learning.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Abstract: Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Abstract: Random-Forest-basierte Segmentierung der subkutanen Fettschicht der Mäusehaut in 3D-OCT-Bilddaten.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Registrierung von nicht sichtbaren Laserbehandlungsarealen der Retina in Live-Aufnahmen des Fundus.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2015
Evaluation verschiedener Ansätze zur 4D-4D-Registrierung kardiologischer MR-Bilddaten.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2014
Joint multi-object registration and segmentation of left and right cardiac ventricles in 4D cine MRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014