Moises Hernandez-Fernandez, Ph.D.
|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
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.
For a full list of publications you can go to my Google Scholar page.
- Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs. Hernandez, Moises, et al. PLoS One. 2013.
- Advances in diffusion MRI acquisition and processing in the Human Connectome Project. Sotiropoulos S.N., et al. NeuroImage.2013.
- Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank. Alfaro-Almagro F., et al. NeuroImage. 2018.
- Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?. Madhyastha T.M., et al. Frontiers in Neuroinformatics. 2017.
- Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project. Sotiropoulos S.N., et al. NeuroImage. 2016.
- Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey. Donahue C.J., et al. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 2016.
- 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).
- Imaging Software Bring the Brain into Fuller Focus, The Science and Engineering South Consortium, UK.
- NVIDIA Interview. Share Your Science: Analyzing Human Brain Connectivity with GPUs.
- Accelerating computational diffusion MRI and white matter tractography using GPUs. University of Oxford. 2017