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)

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)

FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids. - Julia Andresen; Jan Ehrhardt; Claus von der Burchard; Ayse Tatli; Johann Roider; Heinz Handels; Hristina Uzunova (MIDL, 2024)

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)