Adam Hilbert
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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
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
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
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
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
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
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
Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke
A Hilbert, B Veeling, H Marquering
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
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
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
Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke Care: A Systematic Review
A Hilbert, EM Akay, BG Carlisle, VI Madai, MA Mutke, D Frey
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
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
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
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, 2318, 0
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