Tomasz Pieciak has received a distinction for his thesis entitled "Non-stationary noise estimation in accelerated parallel MRI data" in the contest sponsored by the ABB HQ in Poland. The contest is organized in the area of technical sciences and includes theses defended in various fields such as advanced technologies and engineering systems, automation and industrial diagnostics, power electronics and technologies, and computer science systems. The thesis was co-supervised by Prof. Santiago Aja-Fernández.
A paper entitled "A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model" has been recently published in the IEEE Transactions on Image Processing. The proposed scheme has been applied to optimal course planning of an unmanned aerial vehicle (UAV) in a flooding episode, and achieves better tradeoff between the distance travelled by the UAV and the amount of visited flooded land than previous state-of-the-art schemes of the Fast Marching method.
El pasado 4 de octubre de 2019, en el Paraninfo de la Facultad de Derecho de la Universidad de Valladolid, tuvo lugar la toma de posesión protocolaria del Personal Docente e Investigador que ha cambiado de Cuerpo o Escala, entre ellos dos miembros del LPI: Pablo Casaseca (Profesor Titular de Universidad) y Santiago Aja (Catedrático de Universidad).
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".
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.
The LPI has received the Magna Cum Laude Award in Biotechnology by the Spanish Society of Radiologist in Medicine (SERAM) for the electornic communication "Obtención de la señal de sincronismo cardiaco a partir de los datos del k-espacio en IRM cine cardiaca". This communication was presented in the 34th Conference of the SERAM, which took place between May 24th and May 27th 2018 in Pamplona (Spain).