Dr Maria Valdés Hernández
Dr Maria Valdés Hernández graduated with merits as Electronic Engineer and MSc in Electronics from the Central University of Las Villas, Cuba, and PhD in Electronics and Informatics from Gunma University, Japan. With expertise in software development, image and signal processing and analysis, Dr Valdés Hernández work is focused on developing software tools and pipelines to process and analyse the images for various clinical studies, and works in the discovery of imaging biomarkers of small vessel disease, ageing and neurodegeneration. Maria is currently the Lecturer in Image Processing and Analysis of The Row Fogo Centre for Research into Ageing and The Brain and Lead academic of the Image Analysis and Image Processing Techniques courses offered by the MSc online Programmes of the Edinburgh Imaging Academy.
Rachmadi, M.F., Valdes Hernandez, M.C., Makin, S., Wardlaw, J., Komura, T. Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural Networks
Bernal Moyano, J., Valdes Hernandez, M., Escudero, J., Armitage, P., Makin, S., Touyz, R. M. & Wardlaw, J. 24 Jan 2020, Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. Medical Image Understanding and Analysis. MIUA 2019. Communications in Computer and Information Science. Springer, Vol. 1065.
Valdes Hernandez, M., Clark, R., Wang, S-H., Guazzo, F., Calia, C., Pattan, V., Della Sala, S. & Parra, M. A. The striatum, the hippocampus, and short-term memory binding: Volumetric analysis of the subcortical grey matter’s role in mild cognitive impairment