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20182025
most citedLearning compact q-space representations for multi-shell diffusion-weighted MRI

24 citations · 27 across the 13 of their papers we have counts for

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physics.med-ph2025

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform

Zihan Ning, Yannick Brackenier, Sarah McElroy +23

Purpose: To develop and validate a practical framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) delay from lengthy rec…

physics.med-ph2019

Motion corrected MRI with DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Deblurring using Encoding Redundancy

Lucilio Cordero-Grande, Giulio Ferrazzi, Rui Pedro A. G. Teixeira +3

Purpose: To enable rigid-body motion tolerant parallel volumetric magnetic resonance imaging by retrospective head motion correction on a variety of spatio-temporal scales and imag…

physics.med-ph2019★ 1 cited

In utero diffusion MRI: challenges, advances, and applications

Daan Christiaens, Paddy J. Slator, Lucilio Cordero-Grande +6

In utero diffusion MRI provides unique opportunities to non-invasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as…

physics.med-ph2019

Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI

Daan Christiaens, Lucilio Cordero-Grande, Maximilian Pietsch +8

Diffusion MRI offers a unique probe into neural microstructure and connectivity in the developing brain. However, analysis of neonatal brain imaging data is complicated by inevitab…

physics.med-ph2018★ 24 cited

Learning compact q-space representations for multi-shell diffusion-weighted MRI

Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter +4

Diffusion-weighted MRI measures the direction and scale of the local diffusion process in every voxel through its spectrum in q-space, typically acquired in one or more shells. Rec…