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dMRIPrep: a robust preprocessing pipeline for diffusion MRI

Author:Michael Joseph  Derek Pisner  Adam Richie-Halford  Garikoitz Lerma-Usabiaga  Salim Mansour  James Kent  Anisha Keshavan  Matthew Cieslak  Erin Dickie  Sebastian Tourbier  Aristotle Voineskos  Theodore Satterthwaite  Russell Poldrack  Jelle Veraart  Ariel Rokem  Oscar Esteban  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Diffusion: Encoding & Estimation  

Session Name:Diffusion: Encoding & Estimation  

Program Number:2473  

Room Session:Concurrent 3  

Institution:Basque Center on Cognition, Brain and Language  Lausanne University Hospital and University of Lausanne  NYU Grossman School of Medicine  Stanford University  The Centre for Addiction and Mental Health  The University of Washington  University of Iowa  University of Pennsylvania  University of Texas at Austin  

Solving Fundamental Challenges in Preclinical MRI to Improve Cancer Clinical Trials

Author:Thomas Yankeelov  

Session Type:Member-Initiated Symposium  

Session Date:Monday, 17 May 2021  

Topic:MRI Advances Within the Co-Clinical Cancer Trials Network: Informing Cancer Clinical Trials Through Preclinical Imaging  

Session Name:MRI Advances Within the Co-Clinical Cancer Trials Network: Informing Cancer Clinical Trials Through Preclinical Imaging  

Program Number:

Room Session:Concurrent 8  

Institution:University of Texas at Austin  

    Using Untrained Convolutional Neural Networks to Accelerate MRI in 2D and 3D

    Author:Dave Van Veen  Arjun Desai  Reinhard Heckel  Akshay Chaudhari  

    Session Type:Digital Poster  

    Session Date:Tuesday, 18 May 2021  

    Topic:Machine Learning for Image Reconstruction  

    Session Name:Machine Learning to Reconstruct Accelerated Scans  

    Program Number:1964  

    Room Session:Concurrent 1  

    Institution:Rice University  Stanford University  Technical University of Munich  University of Texas at Austin