Santiago Aja-Fernandez has received the Best Poster Award in the Computational Diffusion MRI (CDMRI) workshop, held at MICCAI 2018 last Sept. 20th 2018 in Granada (Spain), for the communication "Return-to-axis probability calculation from single-shell acquisitions".
Laboratorio de Procesado de Imagen
(Image Processing Lab)
Campus Miguel Delibes s/n
Universidad de Valladolid
47011 Valladolid, Spain
An article entitled "Scalar diffusion-MRI measures invariant to acquisition parameters: A first step towards imaging biomarkers" has recently been published in the Magnetic Resonance Imaging journal (Elsevier). In that work, we propose a new set of quantitative measures based on diffusion magnetic resonance imaging from single-shell acquisitions that are designed to be robust to the variations of several acquisition parameters (number of gradient directions, b-value and SNR) while keeping a high discrimination power on differences in the diffusion characteristics of the tissue.
The project "Low-pixel Automatic Target Detection and Recognition" led by Dr. Pablo Casaseca at University of the West of Scotland with multinational electrical systems group, Thales UK and CENSIS received a Special Commendation Award at the Scottish Knowledge Exchange Awards 2018 . This collaboration saw the development of unique technology, enabling automatic detection of humans and vehicles from up to 1500m using thermal imaging.