Tabea Kossen
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A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease
M Livne, J Rieger, OU Aydin, AA Taha, EM Akay, T Kossen, J Sobesky, ...
Frontiers in neuroscience 13, 97, 2019
Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks
T Kossen, P Subramaniam, VI Madai, A Hennemuth, K Hildebrand, ...
Computers in Biology and Medicine 131, 104254, 2021
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
P Subramaniam, T Kossen, K Ritter, A Hennemuth, K Hildebrand, ...
Medical Image Analysis 78, 102396, 2022
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography-the CADA 2020 challenge
M Ivantsits, L Goubergrits, JM Kuhnigk, M Huellebrand, J Bruening, ...
Medical image analysis 77, 102333, 2022
Multiparametric model for penumbral flow prediction in acute stroke
M Livne, T Kossen, VI Madai, O Zaro-Weber, W Moeller-Hartmann, ...
Stroke 48 (7), 1849-1854, 2017
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks
T Kossen, MA Hirzel, VI Madai, F Boenisch, A Hennemuth, K Hildebrand, ...
Frontiers in Artificial Intelligence 5, 2022
Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen
A Meddeb, T Kossen, KK Bressem, B Hamm, SN Nagel
Tomography 7 (4), 950-960, 2021
Two-Stage Deep Learning Model for Automated Segmentation and Classification of Splenomegaly
A Meddeb, T Kossen, KK Bressem, N Molinski, B Hamm, SN Nagel
Cancers 14 (22), 5476, 2022
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
M Ivantsits, L Goubergrits, JM Kuhnigk, M Huellebrand, J Brüning, ...
Cerebral Aneurysm Detection and Analysis: First Challenge, CADA 2020, Held …, 2021
A framework for testing different imputation methods for tabular datasets
T Kossen, M Livne, VI Madai, I Galinovic, D Frey, JB Fiebach
bioRxiv, 773762, 2019
Generalisability of deep learning-based early warning in the intensive care unit: a retrospective empirical evaluation
P Rockenschaub, A Hilbert, T Kossen, F von Dincklage, VI Madai, D Frey
arXiv preprint arXiv:2303.15354, 2023
Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease
T Kossen, VI Madai, MA Mutke, A Hennemuth, K Hildebrand, J Behland, ...
Frontiers in Neurology 13, 2960, 2023
Generative adversarial networks for medical image synthesis in stroke
T Kossen
AI-based Prediction of Imminent Primary Stroke on Claims Data Enables Accurate Patient Stratification
A Hilbert, D Baskan, J Rieger, C Wagner, S Sehlen, A Garcia-Rudolph, ...
medRxiv, 2022.11. 20.22282517, 2022
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
M Huellebrand, J Brüning, T Kossen, B Pfahringer, J Schaller, A Spuler, ...
Cerebral Aneurysm Detection and Analysis: First Challenge, CADA 2020, Held …, 2021
Abstract WP41: A Multi-Parametric Perfusion Model Improves Assessment of Penumbral Flow in Stroke Imaging
M Livne, T Kossen, V Madai, O Zaro-Weber, W Moeller-Hartman, ...
Stroke 48 (suppl_1), AWP41-AWP41, 2017
Tabea Kossen,*, Vince I. Madai, Matthias A. Mutke, Anja Hennemuth, Kristian Hildebrand, Jonas Behland, Cagdas Aslan, Adam Hilbert, Jan Sobesky, Martin Bendszus and Dietmar Frey
T Kossen
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