Следене
Adam Hilbert
Adam Hilbert
Потвърден имейл адрес: charite.de
Заглавие
Позовавания
Позовавания
Година
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
1422018
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
1132021
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
902019
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
822020
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
472021
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
342021
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
262022
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
182022
BRAVE-NET: Fully automated arterial brain vessel segmentation in patients with cerebrovascular disease. Front
A Hilbert, VI Madai, EM Akay, OU Aydin, J Behland, J Sobesky, I Galinovic, ...
Artif. Intell 3 (78), 10.3389, 2020
152020
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
132022
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
122021
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
112022
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
92022
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
62023
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
42023
Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke
A Hilbert, B Veeling, H Marquering
42018
A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch
EMZ Akay, J Rieger, R Schöttler, J Behland, R Schymczyk, AA Khalil, ...
NeuroImage: Clinical 40, 103544, 2023
32023
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
22023
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
22023
From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU
P Rockenschaub, A Hilbert, T Kossen, F von Dincklage, VI Madai, D Frey
arXiv preprint arXiv:2303.15354, 2023
22023
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