Adam Hilbert
Orcid: 0000-0003-3447-5453
According to our database1,
Adam Hilbert
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks.
NeuroImage, 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review.
CoRR, 2024
CoRR, 2024
2023
From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU.
CoRR, 2023
2022
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.
Medical Image Anal., 2022
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.
Frontiers Artif. Intell., 2022
2021
Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks.
Comput. Biol. Medicine, 2021
BMC Medical Imaging, 2021
2020
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.
Frontiers Artif. Intell., 2020
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks.
CoRR, 2020
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking.
CoRR, 2020
2019
Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.
Comput. Biol. Medicine, 2019