- 2010: B.Sc. (5-year) in Computer Engineering, Department of Computer Science, University of Murcia, Spain.
- 2011: Research Assistant, Parallel Computer Architecture Research Group (GACOP), Department of Computer Science, University of Murcia, Spain.
- 2012-2015: Research Assistant, The Human Connectome Project, FMRIB Centre, University of Oxford, UK.
Moises Hernandez Fernandez
Accelerating computational diffusion MRI using GPUs
My research focuses on high performance computing applied to the analysis of diffusion MRI (dMRI) data. I am interested in how parallel computer architectures, such as Graphics Processing Units (GPUs), can be used in scientific applications that require very high computational resources.
I am using GPUs for resolving tissue microstructural patterns and for estimating long-range brain connectivity. The immense computational power provided by modern GPUs is exploited and accelerations of up to two orders of magnitude are obtained when comparing single GPU with single-threaded CPU implementations.
Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs.
Hernández M. et al, (2013), PLoS One, 8
Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project.
Sotiropoulos SN. et al, (2016), Neuroimage, 134, 396 - 409
Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey.
Donahue CJ. et al, (2016), J Neurosci, 36, 6758 - 6770
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Sotiropoulos SN. et al, (2013), NeuroImage, 80, 125 - 143