Johann Roider

According to our database, Johann Roider authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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

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

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss.

Monty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider

Proceedings of the Medical Imaging 2022: Image Processing, 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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

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, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020