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20182021
most citedInterpretable Convolutional Neural Networks for Preterm Birth Classification

2 citations · 3 across the 4 of their papers we have counts for

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physics.med-ph2019

Deformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRI

Alena Uus, Tong Zhang, Laurence H. Jackson +4

In in-utero MRI, motion correction for fetal body and placenta poses a particular challenge due to the presence of local non-rigid transformations of organs caused by bending and s…

physics.med-ph20191 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

Fetal whole-heart 4D imaging using motion-corrected multi-planar real-time MRI

Joshua FP van Amerom, David FA Lloyd, Maria Deprez +7

Purpose: To develop a MRI acquisition and reconstruction framework for volumetric cine visualisation of the fetal heart and great vessels in the presence of maternal and fetal moti…

physics.med-ph2018

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…