Eleftherios Garyfallidis

Computer Science, Université de Sherbrooke

I am a Post-doctoral researcher at the University of Sherbrooke under the supervision of Professor Maxime Descoteaux (http://scil.dinf.usherbrooke.ca). I hold a PhD from the University of Cambridge, UK and I am the lead software engineer of Diffusion Imaging in Python (http://dipy.org). The focus of my work is to create tools to navigate the super-highways of the human brain using diffusion MRI. [website]

Related content: Professor Maxime Descoteaux; Quickbundles-based Segmentation; Diffusion MRI workshop; Diffusion imaging course with Dipy; Dr. Eleftherios Garyfallidis, CREATE-MIA Trainee, to lead ignite session at Brainhack Eastern Daylight Time; dMRI Mini-course; Clustering streamlines generated from dMRI datasets; Hack the white matter with Dipy; Cartesian 3D-SHORE with Laplacian Regularization; Tractometer: Towards Validation of Tractography Pipelines; Particle Swarm Optimization in Multi-Tensor Imaging; Constrained spherical deconvolution on signal and odf values; Direct native-space fiber bundle alignment for group comparisons; Deconvolution enhanced Generalized Q-Sampling 2 and DSI deconvolution; Spherical Deconvolution on single shell and multishell combined with denoising; Dipy, a library for the analysis of diffusion MRI data; Robust and efficient linear registration of white-matter fascicles in the space of streamlines; On the computation of integrals over fixed-size rectangles of arbitrary dimension.; QuickBundlesX: Sequential clustering of millions of streamlines in multiple levels of detail at record execution time; How to perform best ODF reconstruction from the Human Connectome Project sampling scheme?; Comparison between discrete and continuous propagator indices from Cartesian q-space DSI sampling; The new methods available in Dipy 0.7.0+ that you should know about; Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI