133 citations · 353 across the 10 of their papers we have counts for
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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…
Perfusion and apparent oxygenation in the human placenta (PERFOX)
Jana Hutter, Anita A. Harteveld, Laurence H. Jackson +9
Purpose: To study placental function - both perfusion and an oxygenation surrogate (T2*)-simultaneously and quantitatively in-vivo. Methods: 15 pregnant women were scanned on a 3T…
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…