Johann Roider

11 papers B 1Journal 2Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Visual Acuity Assessment from Uni- and Multimodal Retinal Image Data using the Foundation Model MIRAGE.
Bildverarbeitung für die Medizin
Caroline von Dresky, Claus von der Burchard, Monty Santarossa, Julia Andresen, Marc S. Seibel, Timo Kepp, Johann Roider, Heinz Handels
2024 — conf
FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids.
MIDL
Julia Andresen, Jan Ehrhardt, Claus von der Burchard, Ayse Tatli, Johann Roider, Heinz Handels, Hristina Uzunova
2023 — conf
Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data.
Bildverarbeitung für die Medizin
Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels
2023 — conf
Shape-based segmentation of retinal layers and fluids in OCT image data.
Computer-Aided Diagnosis
Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels
2022 J jnl
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies.
Int. J. Comput. Assist. Radiol. Surg.
Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels
2022 — conf
Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images.
Bildverarbeitung für die Medizin
Timo Kepp, Julia Andresen, Helge Sudkamp, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Jan Ehrhardt, Heinz Handels
2022 B conf
MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss.
Image Processing
Monty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider
2022 — conf
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network.
WBIR
Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels
2020 — conf
Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning.
Bildverarbeitung für die Medizin
Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
2020 J jnl
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning.
CoRR
Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
2020 — conf
Segmentation of retinal low-cost optical coherence tomography images using deep learning.
Computer-Aided Diagnosis
Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels