activity
20172022
most citedThree-dimensional Cardiovascular Imaging-Genetics: A Mass Univariate Framework

46 citations · 88 across the 10 of their papers we have counts for

collaborators

18 papers

q-bio.TO20221 cited

Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta

Simone Saitta, Ludovica Maga, Chloe Armour +8

Numerical simulations of blood flow are a valuable tool to investigate the pathophysiology of ascending thoracic aortic aneurysms (ATAA). To accurately reproduce hemodynamics, comp…

eess.IV2022

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Qingjie Meng, Wenjia Bai, Tianrui Liu +2

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and diagnosis of cardiovascular diseases. Most of the pre…

q-bio.GN202223 cited

Correspondence on ACMG STATEMENT: ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG) by Miller et al

Kathryn A. McGurk, Sean L. Zheng, Albert Henry +8

We were interested to read the recent update on recommendations for reporting of secondary findings in clinical sequencing1, and the accompanying updated list of genes in which sec…

cs.CV2021

Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Alexander Thorley, Xi Jia, Hyung Jin Chang +8

Deterministic approaches using iterative optimisation have been historically successful in diffeomorphic image registration (DiffIR). Although these approaches are highly accurate,…

eess.IV20212 cited

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation

Nicolo Savioli, Antonio de Marvao, Wenjia Bai +5

Optimising the analysis of cardiac structure and function requires accurate 3D representations of shape and motion. However, techniques such as cardiac magnetic resonance imaging a…

eess.IV2021

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

Shuo Wang, Chen Qin, Nicolo Savioli +6

In cardiac magnetic resonance (CMR) imaging, a 3D high-resolution segmentation of the heart is essential for detailed description of its anatomical structures. However, due to the…