Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review
Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …
3D printing, computational modeling, and artificial intelligence for structural heart disease
Structural heart disease (SHD) is a new field within cardiovascular medicine. Traditional
imaging modalities fall short in supporting the needs of SHD interventions, as they have …
imaging modalities fall short in supporting the needs of SHD interventions, as they have …
[图书][B] Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part …
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267
constitutes the refereed proceedings of the 23rd International Conference on Medical Image …
constitutes the refereed proceedings of the 23rd International Conference on Medical Image …
Marginal space deep learning: efficient architecture for volumetric image parsing
FC Ghesu, E Krubasik, B Georgescu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Robust and fast solutions for anatomical object detection and segmentation support the
entire clinical workflow from diagnosis, patient stratification, therapy planning, intervention …
entire clinical workflow from diagnosis, patient stratification, therapy planning, intervention …
Numerical methods for fluid–structure interaction models of aortic valves
G Marom - Archives of Computational Methods in Engineering, 2015 - Springer
In the recent years, fluid structure interaction (FSI) models of the aortic valve and root have
become increasingly common for two main reasons. The medical reason is that millions of …
become increasingly common for two main reasons. The medical reason is that millions of …
Artificial intelligence in cardiovascular medicine
Purpose of review The ripples of artificial intelligence are being felt in various sectors of
human life. Machine learning, a subset of artificial intelligence, extracts information from …
human life. Machine learning, a subset of artificial intelligence, extracts information from …
Geometric description for the anatomy of the mitral valve: a review
D Oliveira, J Srinivasan, D Espino, K Buchan… - Journal of …, 2020 - Wiley Online Library
The mitral valve is a complex anatomical structure whose physiological functioning relies on
the biomechanical properties and structural integrity of its components. Their compromise …
the biomechanical properties and structural integrity of its components. Their compromise …
Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images
There is a growing need for patient-specific and holistic modelling of the heart to support
comprehensive disease assessment and intervention planning as well as prediction of …
comprehensive disease assessment and intervention planning as well as prediction of …
Shaping the future through innovations: From medical imaging to precision medicine
Medical images constitute a source of information essential for disease diagnosis, treatment
and follow-up. In addition, due to its patient-specific nature, imaging information represents a …
and follow-up. In addition, due to its patient-specific nature, imaging information represents a …
An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: application to MitralClip intervention planning
Treatment of mitral valve (MV) diseases requires comprehensive clinical evaluation and
therapy personalization to optimize outcomes. Finite-element models (FEMs) of MV …
therapy personalization to optimize outcomes. Finite-element models (FEMs) of MV …