Joint multi-object registration and segmentation of left and right cardiac ventricles in 4D cine MRI. - Jan Ehrhardt; Timo Kepp; Alexander Schmidt-Richberg; Heinz Handels (Image Processing, 2014)

Evaluation verschiedener Ansätze zur 4D-4D-Registrierung kardiologischer MR-Bilddaten. - Timo Kepp; Jan Ehrhardt; Heinz Handels (Bildverarbeitung für die Medizin, 2015)

Registrierung von nicht sichtbaren Laserbehandlungsarealen der Retina in Live-Aufnahmen des Fundus. - Timo Kepp; Stefan Koinzer; Heinz Handels; Ralf Brinkmann (Bildverarbeitung für die Medizin, 2017)

Abstract: Random-Forest-basierte Segmentierung der subkutanen Fettschicht der Mäusehaut in 3D-OCT-Bilddaten. - Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Nunciada Salma; Dieter Manstein; Heinz Handels (Bildverarbeitung für die Medizin, 2018)

Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests. - Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Nunciada Salma; Dieter Manstein; Heinz Handels (Image Processing, 2018)

Abstract: Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders. - Hristina Uzunova; Jan Ehrhardt; Timo Kepp; Heinz Handels (Bildverarbeitung für die Medizin, 2019)

Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks. - Timo Kepp; Jan Ehrhardt; Mattias P. Heinrich; Gereon Hüttmann; Heinz Handels (ISBI, 2019)

Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders. - Hristina Uzunova; Jan Ehrhardt; Timo Kepp; Heinz Handels (Image Processing, 2019)

Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. - Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch 007; Gereon Hüttmann; Johann Roider; Mattias P. Heinrich; Heinz Handels (Bildverarbeitung für die Medizin, 2020)

Segmentation of retinal low-cost optical coherence tomography images using deep learning. - Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch 007; Gereon Hüttmann; Johann Roider; Mattias P. Heinrich; Heinz Handels (Computer-Aided Diagnosis, 2020)

Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering. - Julia Andresen; Timo Kepp; Michael Wang-Evers; Jan Ehrhardt; Dieter Manstein; Heinz Handels (Bildverarbeitung für die Medizin, 2022)

Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images. - Timo Kepp; Julia Andresen; Helge Sudkamp; Claus von der Burchard; Johann Roider; Gereon Hüttmann; Jan Ehrhardt; Heinz Handels (Bildverarbeitung für die Medizin, 2022)

Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network. - Julia Andresen; Timo Kepp; Jan Ehrhardt; Claus von der Burchard; Johann Roider; Heinz Handels (WBIR, 2022)

Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies. - Julia Andresen; Timo Kepp; Jan Ehrhardt; Claus von der Burchard; Johann Roider; Heinz Handels (Int. J. Comput. Assist. Radiol. Surg., 2022)

Analyse anatomischer und pathologischer Strukturen in OCT-Bilddaten mittels maschineller Lernverfahren. - Timo Kepp (2022)

Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data. - Timo Kepp; Julia Andresen; Claus von der Burchard; Johann Roider; Gereon Hüttmann; Heinz Handels (Bildverarbeitung für die Medizin, 2023)

Shape-based segmentation of retinal layers and fluids in OCT image data. - Timo Kepp; Julia Andresen; Claus von der Burchard; Johann Roider; Gereon Hüttmann; Heinz Handels (Computer-Aided Diagnosis, 2023)

Overcoming the sensor delta for semantic segmentation in OCT images. - Joshua Niemeijer; Jan Ehrhardt; Timo Kepp; Jörg P. Schäfer; Heinz Handels (Computer-Aided Diagnosis, 2023)

Abstract: Denoising of Home OCT Images using Noise-to-noise Trained on Artificial Eye Data. - Marc Rowedder; Timo Kepp; Tobias Neumann; Helge Sudkamp; Gereon Hüttmann; Heinz Handels (Bildverarbeitung für die Medizin, 2024)

Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations. - Marc S. Seibel; Joshua Niemeijer; Marc Rowedder; Helge Sudkamp; Timo Kepp; Gereon Hüttmann; Heinz Handels (Bildverarbeitung für die Medizin, 2024)

Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images. - Marc S. Seibel; Hristina Uzunova; Timo Kepp; Heinz Handels (ISBI, 2024)

LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas. - Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels (CoRR, 2024)

Robust Statistical Shape Modelling with Implicit Neural Representations. - Christoph Großbröhmer; Fenja Falta; Ron Keuth; Timo Kepp; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2025)

Bridging Gaps in Retinal Imaging - Fusing OCT and SLO Information with Implicit Neural Representations for Improved Interpolation and Segmentation. - Timo Kepp; Julia Andresen; Fenja Falta; Heinz Handels (Bildverarbeitung für die Medizin, 2025)

Assessing Spatial Bias in Medical Imaging - An Empirical Study of PatchGAN Discriminator Effectiveness. - Marc S. Seibel; Timo Kepp; Hristina Uzunova; Jan Ehrhardt; Heinz Handels (Bildverarbeitung für die Medizin, 2025)