133 citations · 217 across the 14 of their papers we have counts for
5 papers · 1 filter
Interpretable Convolutional Neural Networks for Preterm Birth Classification
Irina Grigorescu, Lucilio Cordero-Grande, A David Edwards +3
The use of convolutional neural networks (CNNs) for classification tasks has become dominant in various medical imaging applications. At the same time, recent advances in interpret…
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
Tong Zhang, Laurence H. Jackson, Alena Uus +5
Accurately estimating and correcting the motion artifacts are crucial for 3D image reconstruction of the abdominal and in-utero magnetic resonance imaging (MRI). The state-of-art m…
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…
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…
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…