Jochen B. Fiebach

Neuroradiologist, Head of Division

Germany

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About

Jochen B. Fiebach is a Neuroradiologist and Head of Division at the Center for Stroke Research Berlin, Charité, Germany. His research focuses on stroke imaging, blood-brain barrier dynamics, and the application of artificial intelligence in medical diagnostics. Recent publications highlight advancements in understanding acute ischemic stroke and its associated pathologies, including microvessel density changes, Alzheimer's pathology, and non-invasive cerebral hemodynamics.

Articles (19)

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2023

GERMANY

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Jochen B. Fiebach

Research Interests

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Articles (19)

An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.

Blood-Brain Barrier Leakage in the Penumbra Is Associated With Infarction on Follow-Up Imaging in Acute Ischemic Stroke.

Changes in microvessel density in normal-appearing white matter in relation to cerebral small vessel disease: A cohort study.

Effect of IV Thrombolysis With Alteplase in Patients With Vessel Occlusion in the WAKE-UP Trial.

Evaluation of Siemens Healthineers' StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke.

Generative adversarial network-based reconstruction of healthy anatomy for anomaly detection in brain CT scans.

Assessing blood-brain barrier dysfunction and its association with Alzheimer's pathology, cognitive impairment and neuroinflammation.

Gadolinium leakage into ocular structures as a marker in stroke: A retrospective analysis of the WAKE-UP trial.

Non-invasive Assessment of Cerebral Hemodynamics Using Resting-State Functional Magnetic Resonance Imaging in Multiple Sclerosis and Age-Related White Matter Lesions.

Reversibility of Diffusion-Weighted Imaging Lesions in Patients With Ischemic Stroke in the WAKE-UP Trial

Enhanced diagnostic workup increases pathological findings in patients with acute ischaemic stroke: results of the prospective HEBRAS study

Myocardial injury in patients with acute ischemic stroke detected by cardiovascular magnetic resonance imaging.

New Cerebral Microbleeds After Catheter‐Based Structural Heart Interventions: An Exploratory Analysis

Detection of brain lesions after catheter ablation depends on imaging criteria: insights from AXAFA-AFNET 5 trial

Intravenous Thrombolysis in Patients With White Matter Hyperintensities in the WAKE-UP Trial

A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch.

Automated acute ischemic stroke lesion delineation based on apparent diffusion coefficient thresholds.

Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies.

Exploring the ATN classification system using brain morphology.

Collaborators (9)

Ulrike Grittner

Helena Stengl

Simon Hellwig

Edyta Blaszczyk

Matthias Endres

Ivana Galinovic

Christian Gerloff

Christian H. Nolte

Jan Scheitz

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