Salvador Castaneda-Vega

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Germany

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Recent Grants

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Validated machine learning algorithms for characterising brain diseases

Open Date: 2023-01-01

Close Date:

Grant: Close

Validated machine learning Algorithms for characterizing Glioblastoma through imaging signatures.

Open Date: 2021-10-01

Close Date: 2024-10-01

Articles (10)

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

Collaborators (5)

Ghazaleh Tabatabai

Professor

Eberhard Karls Universität Tübingen

GERMANY

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Uwe Klose

University Hospital Tübingen

GERMANY

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Ferdinand Seith

GERMANY

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Kristina Herfert

Associate Professor for Functional and Metabolic Brain Imaging

University of Tübingen

GERMANY

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Bernd Nürnberg

Professor (W3/C4) of Pharmacology and Toxicology; Department Head and Chairman

University of Tübingen

GERMANY

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Salvador Castaneda-Vega

Research Interests

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Contact this professor

Recent Grants

Articles (10)

Data on common carotid artery occlusion inducing focalized stroke lesions after Pertussis toxin injection

Repurposing the mucolytic agent ambroxol for treatment of sub-acute and chronic ischaemic stroke

Non-invasive estimation of split renal function from routine 68Ga-SSR-PET/CT scans

Diagnostic Performance of Dynamic Whole-Body Patlak [<sup>18</sup>F]FDG-PET/CT in Patients with Indeterminate Lung Lesions and Lymph Nodes

How Real Are Computed Tomography Low Dose Simulations? An Investigational In-Vivo Large Animal Study

Multiparametric Longitudinal Profiling of RCAS-tva-Induced PDGFB-Driven Experimental Glioma

Cerebrovascular Gi Proteins Protect Against Brain Hypoperfusion and Collateral Failure in Cerebral Ischemia

The Current Role of Peptide Receptor Radionuclide Therapy in Meningiomas

ADC-Based Stratification of Molecular Glioma Subtypes Using High b-Value Diffusion-Weighted Imaging

Impact of 18F-FET PET/MR on clinical management of brain tumor patients

Collaborators (5)

Ghazaleh Tabatabai

Uwe Klose

Ferdinand Seith

Kristina Herfert

Bernd Nürnberg

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