Timo Kepp

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Semantic Segmentation

Top Venues

Bildverarbeitung für die Medizin

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

Marc S. Seibel, Hristina Uzunova, Timo Kepp, Heinz Handels
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images. CoRR (2024)
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)
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 (2024)
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)
Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels
Overcoming the sensor delta for semantic segmentation in OCT images. Medical Imaging: Computer-Aided Diagnosis (2023)
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)
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. Medical Imaging: Computer-Aided Diagnosis (2023)
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)
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)
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)
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) (2022)
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 (2020)
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)
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. Medical Imaging: Computer-Aided Diagnosis (2020)
Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels
Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders. Medical Imaging: Image Processing (2019)
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)
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)
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. Medical Imaging: Image Processing (2018)
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)
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)
Timo Kepp, Jan Ehrhardt, Heinz Handels
Evaluation verschiedener Ansätze zur 4D-4D-Registrierung kardiologischer MR-Bilddaten. Bildverarbeitung für die Medizin (2015)
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. Medical Imaging: Image Processing (2014)