| Predicting outcome of endovascular treatment for acute ischemic stroke: potential value of machine learning algorithms HJA Van Os, LA Ramos, A Hilbert, M Van Leeuwen, ... Frontiers in neurology 9, 784, 2018 | 81 | 2018 |
| Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke A Hilbert, LA Ramos, HJA van Os, SD Olabarriaga, ML Tolhuisen, ... Computers in biology and medicine 115, 103516, 2019 | 40 | 2019 |
| On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, ... European Radiology Experimental 5 (1), 1-7, 2021 | 27 | 2021 |
| 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, 78, 2020 | 27 | 2020 |
| 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 | 15 | 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 44 (5), 2837-2846, 2021 | 8 | 2021 |
| Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke A Hilbert, B Veeling, H Marquering | 3 | 2018 |
| An evaluation of performance measures for arterial brain vessel segmentation OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, ... BMC medical imaging 21 (1), 1-12, 2021 | 2 | 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 | 1 | 2022 |
| Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic Stroke LA Ramos, H Os, A Hilbert, SD Olabarriaga, A Lugt, YB Roos, WH Zwam, ... Frontiers in Neurology, 602, 2022 | 1 | 2022 |
| Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute Stroke F Quandt, F Flottmann, VI Madai, A Alegiani, C Küpper, L Kellert, A Hilbert, ... Translational Stroke Research, 1-11, 2022 | | 2022 |
| Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke Care: A Systematic Review A Hilbert, E Akay, B Carlisle, V Madai, M Mutke, D Frey | | 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, ... medRxiv, 2022 | | 2022 |
| Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke MA Mutke, VI Madai, A Hilbert, E Zihni, A Potreck, CS Weyland, ... Frontiers in neurology 13, 2022 | | 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, 2022 | | 2022 |
Henk MarqueringProfessor of Radiology, ip Translational AIDirección de correo verificada de amc.uva.nl
