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Johann Roider
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2020 – today
- 2024
- [j2]Monty Santarossa, Tebbo Tassilo Beyer, Amelie Bernadette Antonia Scharf, Ayse Tatli, Claus von der Burchard, Jakob Nazarenus, Johann Baptist Roider, Reinhard Koch:
When Two Eyes Don't Suffice - Learning Difficult Hyperfluorescence Segmentations in Retinal Fundus Autofluorescence Images via Ensemble Learning. J. Imaging 10(5): 116 (2024) - 2023
- [c7]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: 11 - [c6]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. Computer-Aided Diagnosis 2023 - 2022
- [j1]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): 699-710 (2022) - [c5]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: 32-37 - [c4]Monty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider:
MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss. Image Processing 2022 - [c3]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: 3-7 - 2020
- [c2]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: 183 - [c1]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. Computer-Aided Diagnosis 2020 - [i1]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 abs/2001.08480 (2020)
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