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Timo Kepp
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Books and Theses
- 2022
- [b1]Timo Kepp:
Analyse anatomischer und pathologischer Strukturen in OCT-Bilddaten mittels maschineller Lernverfahren. University of Lübeck, Germany, 2022
Journal Articles
- 2022
- [j1]Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels:
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies. Int. J. Comput. Assist. Radiol. Surg. 17(4): 699-710 (2022)
Conference and Workshop Papers
- 2024
- [c19]Marc S. Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels:
Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations. Bildverarbeitung für die Medizin 2024: 81 - [c18]Marc Rowedder, Timo Kepp, Tobias Neumann, Helge Sudkamp, Gereon Hüttmann, Heinz Handels:
Abstract: Denoising of Home OCT Images using Noise-to-noise Trained on Artificial Eye Data. Bildverarbeitung für die Medizin 2024: 155 - [c17]Marc S. Seibel, Hristina Uzunova, Timo Kepp, Heinz Handels:
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images. ISBI 2024: 1-5 - 2023
- [c16]Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels:
Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data. Bildverarbeitung für die Medizin 2023: 11 - [c15]Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels:
Shape-based segmentation of retinal layers and fluids in OCT image data. Computer-Aided Diagnosis 2023 - [c14]Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels:
Overcoming the sensor delta for semantic segmentation in OCT images. Computer-Aided Diagnosis 2023 - 2022
- [c13]Julia Andresen, Timo Kepp, Michael Wang-Evers, Jan Ehrhardt, Dieter Manstein, Heinz Handels:
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering. Bildverarbeitung für die Medizin 2022: 1-6 - [c12]Timo Kepp, Julia Andresen, Helge Sudkamp, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Jan Ehrhardt, Heinz Handels:
Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images. Bildverarbeitung für die Medizin 2022: 32-37 - [c11]Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels:
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network. WBIR 2022: 3-7 - 2020
- [c10]Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels:
Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. Bildverarbeitung für die Medizin 2020: 183 - [c9]Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels:
Segmentation of retinal low-cost optical coherence tomography images using deep learning. Computer-Aided Diagnosis 2020 - 2019
- [c8]Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels:
Abstract: Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders. Bildverarbeitung für die Medizin 2019: 197 - [c7]Timo Kepp, Jan Ehrhardt, Mattias P. Heinrich, Gereon Hüttmann, Heinz Handels:
Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks. ISBI 2019: 1437-1440 - [c6]Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels:
Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders. Image Processing 2019: 1094911 - 2018
- [c5]Timo Kepp, Christine Droigk, Malte Casper, Michael Evers, Nunciada Salma, Dieter Manstein, Heinz Handels:
Abstract: Random-Forest-basierte Segmentierung der subkutanen Fettschicht der Mäusehaut in 3D-OCT-Bilddaten. Bildverarbeitung für die Medizin 2018: 203 - [c4]Timo Kepp, Christine Droigk, Malte Casper, Michael Evers, Nunciada Salma, Dieter Manstein, Heinz Handels:
Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests. Image Processing 2018: 1057426 - 2017
- [c3]Timo Kepp, Stefan Koinzer, Heinz Handels, Ralf Brinkmann:
Registrierung von nicht sichtbaren Laserbehandlungsarealen der Retina in Live-Aufnahmen des Fundus. Bildverarbeitung für die Medizin 2017: 331-336 - 2015
- [c2]Timo Kepp, Jan Ehrhardt, Heinz Handels:
Evaluation verschiedener Ansätze zur 4D-4D-Registrierung kardiologischer MR-Bilddaten. Bildverarbeitung für die Medizin 2015: 95-100 - 2014
- [c1]Jan Ehrhardt, Timo Kepp, Alexander Schmidt-Richberg, Heinz Handels:
Joint multi-object registration and segmentation of left and right cardiac ventricles in 4D cine MRI. Image Processing 2014: 90340M
Informal and Other Publications
- 2024
- [i3]Marc S. Seibel, Hristina Uzunova, Timo Kepp, Heinz Handels:
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images. CoRR abs/2404.05409 (2024) - [i2]Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer, Heinz Handels:
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas. CoRR abs/2406.03984 (2024) - 2020
- [i1]Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels:
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning. CoRR abs/2001.08480 (2020)
Coauthor Index
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