Publications

In: Klaus Maier-Hein, Thomas M Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxsdorff (editor). Bildverarbeitung für die Medizin 2022. Pages 1-6 Springer 2022.

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In: Klaus Maier-Hein, Thomas M Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (editor). Bildverarbeitung für die Medizin 2022. Pages 32-37 Springer 2022.

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In: International Journal of Computer Assisted Radiology and Surgery (IJCARS) 17 Pages 1-12 Springer 2022.

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In: International Journal of Computer Assisted Radiology and Surgery (IJCARS) 17 4 Pages 699-710 Springer 2022.

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In: Medical Imaging 2022: Computer-Aided Diagnosis. SPIE Medical Imaging Pages 908-913 12033 SPIE 2022.

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In: Proceedings of Machine Learning Research. Medical Imaging with Deep Learning (MIDL-2021) July 7-9 Lübeck/Virtual Germany MLResearchPress 2021.

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In: Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021) March 7-9 Regensburg Germany Pages 344-349 Springer 2021.

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In: Christoph Palm, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Thomas Tolxdorff (editor). Bildverarbeitung für die Medizin 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021) March 7-9 Regensburg Germany Pages 276-281 ISBN 978-3-658-33197-9 Springer Fachmedien Wiesbaden 2021.

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In: Olivier Commowick, Frédéric Cervenansky, François Cotton, Michel Dojat (editor). MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure MICCAI2021 - MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure. MSSEG-2 challenge: Multiple sclerosis new lesions segmentation challenge located at MICCAI 2021 September 23-23 Pages 111-111 HAL 2021.

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In: Computerized Medical Imaging and Graphics 86 Pages 101801-101801 Elsevier 2020.

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Publications

Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering

Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images

A systematic comparison of generative models for medical images

Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies

Synthesis of annotated pathological retinal OCT data with pathology-induced deformations

Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders

Analysis of Generative Shape Modeling Approaches: Latent Space Properties and Interpretability

CT Normalization by Paired Image-to-image Translation for Lung Emphysema Quantification

New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks

Memory-efficient GAN-based domain translation of high resolution 3D medical images

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