Author of the publication

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks., , , , , , , , , and 3 other author(s). Medical Image Anal., (2022)Analyzing the Role of Artificial Intelligence in the Development of Human-Centered Service., and . AHFE (8), volume 1208 of Advances in Intelligent Systems and Computing, page 123-130. Springer, (2020)A new approach for corticospinal tract reconstruction based on navigated transcranial stimulation and standardized fractional anisotropy values., , , , , and . NeuroImage, 62 (3): 1600-1609 (2012)Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks., , , , , , , , , and 2 other author(s). CoRR, (2020)An evaluation of performance measures for arterial brain vessel segmentation., , , , , , , and . BMC Medical Imaging, 21 (1): 113 (2021)BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease., , , , , , , , , and 5 other author(s). Frontiers Artif. Intell., (2020)On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking., , , , , , , and . CoRR, (2020)Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks., , , , , , , , , and 2 other author(s). Comput. Biol. Medicine, (2021)Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks., , , , , , , , , and 4 other author(s). Frontiers Artif. Intell., (2022)From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU., , , , , and . CoRR, (2023)