activity
20182022
most citedDeformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRI

133 citations · 252 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2022★ 4 cited

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez +24

Artificial Intelligence (AI) has become commonplace to solve routine everyday tasks. Because of the exponential growth in medical imaging data volume and complexity, the workload o…

eess.IV2019

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…

physics.med-ph2019

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…

physics.med-ph2019★ 133 cited

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-ph2018★ 115 cited

Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta

Paddy J. Slator, Jana Hutter, Marco Palombo +7

Purpose: A combined diffusion-relaxometry MR acquisition and analysis pipeline for in-vivo human placenta, which allows for exploration of coupling between T2* and apparent diffusi…