15th - 19th March 2021
Bloomington - Indiana
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Chair, DIPY Founder & Lead Developer
Indiana University
Associate DIPY Lead
eScience Institute, University of Washington, Seattle
DIPY Scientific Advisor
University of Sherbrooke, QC, CA
Department of Radiology, Stanford University, Stanford, California, USA
CIBM & CHUV & EPFL
Lausanne, CH
Department of Radiology, Massachusetts General Hospital, Boston, USA
DIPY Advisor on Statistics
Indiana University
Healthcare and Life Sciences Research
IBM T.J. Watson Research Center
Champalimaud Research
Champalimaud Centre for the Unknown, PT
Indiana University
Psychological and Brain Sciences
Indiana University
CIMAT
Imaging Genetics Center, Institute for Neuro Imaging and Informatics, USC
Quansight
CSAIL, Massachusetts Institute of Technology, MA
Vanderbilt University
Université de Sherbrooke
University of Sherbrooke Connectivity Imaging Lab
DIPY Release Manager
Indiana University
Indiana University
Indiana University
Indiana University
Indiana University
Overview & Introduction to new Interfaces
by Eleftherios Garyfallidis & Javier Guaje
Introduction to computational anatomy
by Francois Rheault & Wei Tang
Diffusion Tensor Imaging
by Ariel Rokem
Diffusion Kurtosing Imaging
by Rafaël Neto Henriques
Denoising
by Shreyas Fadnavis
A tour of spherical harmonics-based local reconstruction techniques in DIPY
by Maxime Descoteaux
Microstructure modeling theory and practice
by Rafaël Neto Henriques
Dictionary based methods for brain microstructure estimation
by Alonso Ramirez
Motion Correction & Image Registration
by Serge Koudoro
Diffusion Tractography
by Gabriel Girard & Etienne St-Onge
Multidimensional Diffusion Encodings
by Jennifer A McNab
Deep Learning in Medical Imaging (Intro, Segmentation, Registration)
by Jon Haitz Legarreta Gorroño, Javier Guaje, Bramsh Qamar Chandio, Jong Sung Park, Shreyas Fadnavis
Automatic segmentation of bundles
by Eleftherios Garyfallidis
Tractometry
by Bramsh Qamar Chandio
Statistical analysis and group analysis
by Jaroslaw Harezlak
Acquisitions and High Field Diffusion MRI HCP 2.0
by Susie Huang
Tissue classification
by Hu Cheng, Julio Villalon
IVIM and Optimization
by Shreyas Fadnavis
Data harmonization
by Daniel Moyer
Tractometry II
by Ariel Rokem
GPU Acceleration
by Gregory R Lee
Clinical Insights from Brain Imaging using Predictive Modeling: Huntington’s Disease as a Case Study
by Eduardo Castro
DIPY Workshop is free
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Contact us for more information by sending an email at dipy -at- python.org
or joining our interactive chatroom at https://gitter.im/dipy/dipy
