Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
Deep learning in medical ultrasound image analysis: a review
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 …
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
The heart muscle diseases hypertrophic (HCM) and dilated (DCM) cardiomyopathies are
leading causes of sudden death and heart failure in young, otherwise healthy, individuals …
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
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 …
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
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 …
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
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 …
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
Cardiac motion estimation and segmentation play important roles in quantitatively assessing
cardiac function and diagnosing cardiovascular diseases. In this paper, we propose a novel …
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
Cardiac magnetic resonance imaging (MRI) provides detailed and quantitative evaluation of
the heart's structure, function, and tissue characteristics with high-resolution spatial …
the heart's structure, function, and tissue characteristics with high-resolution spatial …
Challenges in diffusion MRI tractography–Lessons learned from international benchmark competitions
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 …
due to its ability to noninvasively map the structural connectivity of the brain. Despite …
[HTML][HTML] Multi-modality cardiac image computing: A survey
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …
cardiovascular diseases. It allows a combination of complementary anatomical …