| 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 | 250 | 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 | 48 | 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 | 26 | 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 | 17 | 2022 |
| 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, 813842, 2022 | 10 | 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 | 9 | 2021 |
| 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 | 9 | 2017 |
| 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 | 5 | 2022 |
| 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, 1051397, 2023 | 4 | 2023 |
| Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach D Frey, A Hilbert, A Früh, VI Madai, T Kossen, J Kiewitz, J Sommerfeld, ... Neurosurgical Review 46 (1), 206, 2023 | 2 | 2023 |
| 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 | 2 | 2021 |
| 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 García-Rudolph, ... medRxiv, 2022.11. 20.22282517, 2022 | 1 | 2022 |
| 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 | 1 | 2019 |
| Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy J Behland, VI Madai, OU Aydin, EM Akay, T Kossen, A Hilbert, J Sobesky, ... Frontiers in Neurology 14, 1230402, 2023 | | 2023 |
| 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 | | 2023 |
| Redefining Hemodynamic Imaging in Stroke: Perfusion Parameter Map Generation from TOF-MRA using Artificial Intelligence T Kossen, VI Madai, F Lohrke, OU Aydin, J Behland, A Hilbert, M Mutke, ... medRxiv, 2023.08. 22.23294405, 2023 | | 2023 |
| Generative adversarial networks for medical image synthesis in stroke T Kossen | | 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 | | 2021 |
| PREDICTioN 2020-Predictive risk-modelling, evaluation, and deployment for infarction of cerebral territories in neuroscience: Schlussbericht: Laufzeit des Vorhabens: 01.09 … D Frey, V Madai, T Kossen, A Hilbert Charité-Universitätsmedizin Berlin, 2021 | | 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 | | 2017 |
