Enhancing Blood–Brain Barrier Penetration Prediction by Machine Learning-Based Integration of Novel and Existing, In Silico and Experimental Molecular Parameters from a Standardized Database

Spielvogel, C.P., Chrysoula Vraka, et al.

Journal of Chemical Information and Modeling, 65(6), pp. 2773–2784.

DOI  

Systemic Metabolic and Volumetric Assessment via Whole-Body [18F]FDG-PET/CT: Pancreas Size Predicts Cachexia in Head and Neck Squamous Cell Carcinoma

Yu, J., et al.

Cancers, 16(19), p. 3352.

DOI  

First-in-Humans Brain PET Imaging of the GluN2B-Containing N-methyl-d-aspartate Receptor with (R)-11C-Me-NB1

Lukas Rischka and Chrysoula Vraka, et al.

Journal of Nuclear Medicine, Volume 63(6), pp. 936–941.

DOI  

Simultaneous radiomethylation of [11C]harmine and [11C]DASB and kinetic modeling approach for serotonergic brain imaging in the same individual

Chrysoula Vraka, et al.

Scientific Reports, 12(1)

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RadioFlow Cytometry Reveals That [18F]FDG Uptake in K-RAS Lung Cancer Is Driven by Immune Cells: An Analysis on a Single-Cell Level

Chrysoula Vraka, et al.

Journal of Nuclear Medicine, 66(2), pp. 215–222.

DOI  

LogP, a yesterday's value?

Chrysoula Vraka, Lukas Nics, Karl-Heinz Wagner, Marcus Hacker, Wolfgang Wadsak, Markus Mitterhauser

Nuclear Medicine and Biology, Volume 50

DOI  

Lorem ipsum

Chrysoula Vraka, Cicero, Rackham

Finibus Bonorum et Malorum

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