Perelman School of Medicine at the University of Pennsylvania

Section for Biomedical Image Analysis (SBIA)

participating with CBICA

Moises Hernandez-Fernandez, Ph.D.

Postdoctoral Researcher

Section of Biomedical Image Analysis
Center for Biomedical Image Computing & Analytics
Department of Radiology
Perelman School of Medicine
University of Pennsylvania

Richards Medical Research Laboratories, Floor 7
3700 Hamilton Walk
Philadelphia, PA 19104
fax: (001) 215.573.1811

Educational Qualifications

Ph.D. in Computational Neuroscience - University of Oxford (Oxford, UK)
B.Sc. in Computer Sciences - University of Murcia (Murcia, Spain)

Research Summary

I am a Postdoctoral researcher at the University of Pennsylvania using Machine Learning techniques and tractography for studying the brain connectivity in Autism Spectrum Disorder in infants. I am also researching new micro-structural diffusion MRI models for characterizing glioblastoma tumors.
Previously, during my PhD at Oxford University (UK), I conducted research into the analysis of diffusion MRI data of the brain using Graphics Processing Units (GPUs). My research revolved around exploring how modern parallel computing architectures, such as GPUs, can be used to accelerate scientific applications, including micro-structural diffusion model fitting and tractography methods.

Published Material

For a full list of publications you can go to my Google Scholar page.



  • Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes. Hernandez-Fernandez M., et al. In: International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting, Paris (France). (2018).
  • A fast and flexible toolbox for tracking brain connections in diffusion MRI datasets using GPUs. Hernandez-Fernandez M., et al. In: The Organization for Human Brain Mapping (OHBM), Geneva (Switzerland). (2016).
  • Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs. Hernandez M., et al. In: International Conference on Parallel, Distributed and Network-based Processing (PDP), Garching (Germany). (2012).