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Alterations of Structural-Functional Coupling in Amyloid-Positive and Negative Mild Cognitive Impairment Patients

Automatic Detection of Nyquist Ghosts in Whole-Body Diffusion Weighted MRI Using Deep Learning

Author:Alistair Lamb  Anna Barnes  Stuart Taylor  Hui Zhang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Diffusion: Encoding & Estimation  

Session Name:Diffusion: Encoding, Estimation & Machine Learning  

Program Number:2445  

Room Session:Concurrent 3  

Institution:University College London  

The combined value of DKI and DSC MRI in differentiating high-grade glioma recurrence from pseudoprogression

Deep learning based high resolution IVIM parameter mappingin lacunar infarction patients

Impact of within-voxel heterogeneity in fibre geometry on spherical deconvolution

Large-scale analysis of brain cell morphometry informs microstructure modelling of gray matter

MAGnitude Image to Complex (MAGIC)-Net: reconstructing multi-coil complex images with pre-trained network using synthesized raw data

Multi-task deep neural network reveals distinct and hierarchical pathways for face perception in visual cortex

On the generalizability of diffusion MRI signal representations across acquisition parameters: chronicles of the MEMENTO challenge.

Author:Alberto de Luca  Andrada Ianus  Alexander Leemans  Marco Palombo  Hui Zhang  Daniel Alexander  Markus Nilsson  Geert-Jan Biessels  Mauro Zucchelli  Matteo Frigo  Enes Albay  Sara Sedlar  Abib Alimi  Samuel Deslauriers-Gauthier  Rachid Deriche  Rutger Fick  Maryam Afzali  Tomasz Pieciak  Fabian Bogusz  Santiago Aja-Fernandez  Evren Özarslan  Derek Jones  Haoze Chen  Mingwu Jin  Zhijie Zhang  Fengxiang Wang  Vishwesh Nath  Prasanna Parvathaneni  Jan Morez  Jan Sijbers  Ben Jeurissen  Shreyas Fadnavis  Stefan Endres  Ariel Rokem  Eleftherios Garyfallidis  Irina Sanchez  Vesna Prchkovska  Paulo Rodrigues  Bennett Landman  Kurt Schilling  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion in the Brain  

Session Name:New Advances in Diffusion for the Brain  

Program Number:1728  

Room Session:Concurrent 5  

Institution:AGH University of Science and Technology  Cardiff University  Champalimaud Centre for the Unknown  Indiana University Bloomington  Linköping University  Lund University  National Institute of Health  North University of China  NVIDIA Corporation  QMENTA Inc  Therapanacea  Universidad de Valladolid  Université Côte d'Azur  University College London  University Medical Center Utrecht  University of Antwerp  University of Bremen  University of Texas at Arlington  University of Washington  Vanderbilt University  Istanbul Technical University  

Patch-CNN-DTI: Data-efficient high-fidelity tensor recovery from 6 direction diffusion weighted imaging.

Preoperative discrimination between the low-grade glioma and high-grade glioma and early exploration of metastatic margin with APT imagingat 7T

Quantifying tissue microstructural changes associated with short-term learning using model-based diffusion MRI

Simultaneous Reconstruction of High-resolution Multi b-value DWI with Single-shot Acquisition

Towards a computational framework for task-driven experimental design

Training Data Distribution Significantly Impacts the Estimation of Tissue Microstructure with Machine Learning