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
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
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, 78, 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
Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke
A Hilbert, B Veeling, H Marquering
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
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
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