Leonie Zerweck

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University of Tübingen

Germany

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Recent Grants

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TÜFF-Förderung

Open Date: 2025-01-01

Close Date: 2026-01-01

Grant: Close

Junior-TÜFF-Förderung

Open Date: 2023-01-01

Close Date: 2024-01-01

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

Collaborators (3)

Ghazaleh Tabatabai

Professor

Eberhard Karls Universität Tübingen

GERMANY

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Uwe Klose

University Hospital Tübingen

GERMANY

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Christoph Artzner

Head of department

Universitätsklinikum Tübingen

GERMANY

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Leonie Zerweck

Research Interests

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Contact this professor

Recent Grants

Articles (10)

Author Response: MR Spectroscopy in a Patient With Isolated Brainstem Posterior Reversible Encephalopathy Syndrome

Multidisciplinary, Clinical Assessment of Accelerated Deep-Learning MRI Protocols at 1.5 T and 3 T After Intracranial Tumor Surgery and Their Influence on Residual Tumor Perception

Assessing and Improving the Reproducibility of Cerebrovascular Reactivity Evaluations in Healthy Subjects Using Short-Breath-Hold fMRI

Encephalitis Unraveled: The Unlikely Encounter of Sickle Cell Disease and Cerebral Malaria in a Teenager

Measuring cerebrovascular reactivity with breath-hold fMRI in patients with Moyamoya angiopathy: MR perfusion based delay correction significantly improves agreement to [15O]water PET

Performance Comparison of Diffusion Kurtosis Imaging (DKI), Neurite Orientation Dispersion and Density Imaging (NODDI), and Diffusion Microstructure Imaging (DMI) in Predicting Adult-Type Glioma Subtype—A Pilot Study

Whole-brain volumetric analysis in adult moyamoya patients reveals significant atrophy compared to healthy controls

Preoperative Adult-Type Diffuse Glioma Subtype Prediction with Dynamic Contrast-Enhanced MR Imaging and Diffusion Weighted Imaging in Tumor Cores and Peritumoral Tissue—A Standardized Multicenter Study

Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose

Multidisciplinary quantitative and qualitative assessment of IDH-mutant gliomas with full diagnostic deep learning image reconstruction.

Collaborators (3)

Ghazaleh Tabatabai

Uwe Klose

Christoph Artzner

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