Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

R Chabiniok, VY Wang… - Interface …, 2016 - royalsocietypublishing.org
With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …

Deep learning in medical ultrasound image analysis: a review

Y Wang, X Ge, H Ma, S Qi, G Zhang, Y Yao - IEEE Access, 2021 - ieeexplore.ieee.org
Ultrasound (US) is one of the most widely used imaging modalities in medical diagnosis. It
has the advantages of real-time, low cost, noninvasive nature, and easy to operate …

Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect

R Tadros, C Francis, X Xu, AMC Vermeer, AR Harper… - Nature …, 2021 - nature.com
The heart muscle diseases hypertrophic (HCM) and dilated (DCM) cardiomyopathies are
leading causes of sudden death and heart failure in young, otherwise healthy, individuals …

A population-based phenome-wide association study of cardiac and aortic structure and function

W Bai, H Suzuki, J Huang, C Francis, S Wang… - Nature medicine, 2020 - nature.com
Differences in cardiac and aortic structure and function are associated with cardiovascular
diseases and a wide range of other types of disease. Here we analyzed cardiovascular …

Why rankings of biomedical image analysis competitions should be interpreted with care

L Maier-Hein, M Eisenmann, A Reinke… - Nature …, 2018 - nature.com
International challenges have become the standard for validation of biomedical image
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …

ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

O Maier, BH Menze, J Von der Gablentz, L Häni… - Medical image …, 2017 - Elsevier
Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment,
and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from …

Joint learning of motion estimation and segmentation for cardiac MR image sequences

C Qin, W Bai, J Schlemper, SE Petersen… - … Image Computing and …, 2018 - Springer
Cardiac motion estimation and segmentation play important roles in quantitatively assessing
cardiac function and diagnosing cardiovascular diseases. In this paper, we propose a novel …

The state-of-the-art in cardiac mri reconstruction: Results of the cmrxrecon challenge in miccai 2023

J Lyu, C Qin, S Wang, F Wang, Y Li, Z Wang… - Medical Image …, 2025 - Elsevier
Cardiac magnetic resonance imaging (MRI) provides detailed and quantitative evaluation of
the heart's structure, function, and tissue characteristics with high-resolution spatial …

Challenges in diffusion MRI tractography–Lessons learned from international benchmark competitions

KG Schilling, A Daducci, K Maier-Hein… - Magnetic resonance …, 2019 - Elsevier
Diffusion MRI (dMRI) fiber tractography has become a pillar of the neuroimaging community
due to its ability to noninvasively map the structural connectivity of the brain. Despite …

[HTML][HTML] Multi-modality cardiac image computing: A survey

L Li, W Ding, L Huang, X Zhuang, V Grau - Medical Image Analysis, 2023 - Elsevier
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …