Adam Hilbert

Orcid: 0000-0003-3447-5453

According to our database1, Adam Hilbert authored at least 18 papers between 2019 and 2025.

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Bibliography

2025
RELICT-NI: Replica Detection in Synthetic Neuroimaging - A Study on Noncontrast CT and Time-of-Flight MRA.
Neuroinformatics, December, 2025

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.
BMC Medical Informatics Decis. Mak., December, 2025

Research Data for a Scoping Review about the Interplay between Federated Learning and Explainable Artificial Intelligence.
Dataset, October, 2025

RELICT: A Replica Detection Framework for Medical Image Generation.
CoRR, February, 2025

Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based models.
Medical Image Anal., 2025

Local Brain Tumour Inpainting Using Diffusion Transformers.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

2024
Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks.
NeuroImage, 2024

Generative modeling of the Circle of Willis using 3D-StyleGAN.
NeuroImage, 2024

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review.
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

An evaluation of performance measures for arterial brain vessel segmentation.
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


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