| 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 | 130 | 2018 |
| 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, 1-7, 2021 | 100 | 2021 |
| 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 | 85 | 2019 |
| 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 |
| 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 |
| 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 13, 809343, 2022 | 16 | 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, 737667, 2022 | 12 | 2022 |
| 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, 1-12, 2021 | 10 | 2021 |
| 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 | 7 | 2022 |
| Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms. Front Neurol. 2018; 9: 784 HJA van Os, LA Ramos, A Hilbert, M van Leeuwen, MAA van Walderveen, ... | 6 | 2018 |
| Artificial intelligence for clinical decision support in acute ischemic stroke: a systematic review EMZ Akay, A Hilbert, BG Carlisle, VI Madai, MA Mutke, D Frey Stroke 54 (6), 1505-1516, 2023 | 4 | 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, 1051397, 2023 | 4 | 2023 |
| 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 |
| Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke A Hilbert, B Veeling, H Marquering | 4 | 2018 |
| 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 |
| 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 14 (3), 311-321, 2023 | 2 | 2023 |
| Generalisability of AI-based scoring systems in the ICU: a systematic review and meta-analysis P Rockenschaub, EM Akay, BG Carlisle, A Hilbert, F Meyer-Eschenbach, ... medRxiv, 2023.10. 11.23296733, 2023 | 1 | 2023 |
| 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 |
Lucas Alexandre RamosResearcher - NHL StendenVerified email at nhlstenden.com
