Area of research
Epidemiology · Health Informatics
Research interest
Research interests include Acute Ischemic Stroke Management, Artificial Intelligence in Healthcare and Education, Cerebrovascular and Carotid Artery Diseases, and Advanced MRI Techniques and Applications.
Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks
Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease
Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
An evaluation of performance measures for arterial brain vessel segmentation
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease
Diagnostic and prognostic benefit of arterial spin labeling in subacute stroke