| Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... arXiv preprint arXiv:1809.04430, 2018 | 317 | 2018 |
| 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, 422707, 2019 | 239 | 2019 |
| Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... Journal of medical Internet research 23 (7), e26151, 2021 | 152 | 2021 |
| Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome E Zihni, VI Madai, M Livne, I Galinovic, AA Khalil, JB Fiebach, D Frey Plos one 15 (4), e0231166, 2020 | 139 | 2020 |
| Boosted tree model reforms multimodal magnetic resonance imaging infarct prediction in acute stroke M Livne, JK Boldsen, IK Mikkelsen, JB Fiebach, J Sobesky, K Mouridsen Stroke 49 (4), 912-918, 2018 | 75 | 2018 |
| BRAVE-NET: fully automated arterial brain vessel segmentation in patients with cerebrovascular disease A Hilbert, VI Madai, EM Akay, OU Aydin, J Behland, J Sobesky, I Galinovic, ... Frontiers in artificial intelligence 3, 552258, 2020 | 71 | 2020 |
| To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems J Amann, D Vetter, SN Blomberg, HC Christensen, M Coffee, S Gerke, ... PLOS Digital Health 1 (2), e0000016, 2022 | 65 | 2022 |
| 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 | 45 | 2021 |
| Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores NF Dengler, VI Madai, M Unteroberdörster, E Zihni, SC Brune, A Hilbert, ... Neurosurgical Review, 1-10, 2021 | 31 | 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 | 23 | 2022 |
| Comparison of the 2 most popular deconvolution techniques for the detection of penumbral flow in acute stroke O Zaro-Weber, M Livne, SZ Martin, FC von Samson-Himmelstjerna, ... Stroke 46 (10), 2795-2799, 2015 | 23 | 2015 |
| Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. arXiv 2018 S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... arXiv preprint arXiv:1809.04430 738, 2018 | 18 | 2018 |
| Diagnostic and prognostic benefit of arterial spin labeling in subacute stroke T Thamm, S Zweynert, SK Piper, VI Madai, M Livne, SZ Martin, CX Herzig, ... Brain and behavior 9 (5), e01271, 2019 | 15 | 2019 |
| Multimodal Fusion Strategies for Outcome Prediction in Stroke E Zihni, V Madai, A Khalil, I Galinovic, J Fiebach, J Kelleher, D Frey, ... International Joint Conference on Biomedical Engineering Systems and …, 2020 | 12 | 2020 |
| A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease D Frey, M Livne, H Leppin, EM Akay, OU Aydin, J Behland, J Sobesky, ... BioMedical Engineering OnLine 20 (1), 44, 2021 | 11 | 2021 |
| Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning JJ Lucido, TA DeWees, TR Leavitt, A Anand, CJ Beltran, MD Brooke, ... Frontiers in Oncology 13, 1137803, 2023 | 9 | 2023 |
| A PET‐Guided Framework Supports a Multiple Arterial Input Functions Approach in DSC‐MRI in Acute Stroke M Livne, VI Madai, P Brunecker, O Zaro‐Weber, W Moeller‐Hartmann, ... Journal of Neuroimaging 27 (5), 486-492, 2017 | 8 | 2017 |
| 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 | 8 | 2017 |
| A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease. Front Neurosci 13 (97) M Livne, J Rieger, OU Aydin, AA Taha, EM Akay, T Kossen, J Sobesky, ... | 7 | 2019 |
| Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease A Hilbert, J Rieger, VI Madai, EM Akay, OU Aydin, J Behland, AA Khalil, ... Frontiers in Neurology 13, 1000914, 2022 | 4 | 2022 |
Vince Istvan MadaiM.D., Ph.D., M.A., @QUEST, Charité BerlinVerified email at charite.de
