We consider the problem of identifying frames in a cardiac ultrasound video associated with left ventricular chamber end-systolic (ES, contraction) and end-diastolic (ED, expansion) phases of the cardiac cycle. Our procedure involves a simple application of non-negative matrix factorization (NMF) to a series of frames of a video from a single patient. Rank-2 NMF is performed to compute two end-members. The end members are shown to be close representations of the actual heart morphology at the end of each phase of the heart function. Moreover, the entire time series can be represented as a linear combination of these two end-member states thus providing a very low dimensional representation of the time dynamics of the heart. Unlike previous ...
Heart failure (HF) is associated with poor patient outcomes and burdens healthcare systems and clini...
International audienceConvolutional neural networks (CNN) have demonstrated their ability to segment...
International audience2D echocardiography remains nowadays the main clinical imaging modality in dai...
We consider the problem of identifying frames in a cardiac ultrasound video associated with left ven...
We consider the problem of identifying frames in a cardiac ultrasound video associated with left ven...
Introduction: Changes in coronary artery luminal dimensions during the cardiac cycle can impact the ...
Purpose: The aim of this study is to evaluate the efficiency of a new automatic image processing tec...
Echocardiography provides recordings of the heart chamber size and function and is a central tool fo...
Abstract—We propose a new approach for the generation of synthetic but visually realistic time serie...
Abstract. In this paper, we propose to create a rich database of syn-thetic time series of 3D echoca...
The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves...
Heart disease is the major cause of death in the developed world. Due to its fast, portable, low-cos...
We propose an independent objective method to characterize different patterns of functional response...
International audienceIn this paper, we propose to create a rich database of syn- thetic time series...
Heart failure (HF) is associated with poor patient outcomes and burdens healthcare systems and clini...
International audienceConvolutional neural networks (CNN) have demonstrated their ability to segment...
International audience2D echocardiography remains nowadays the main clinical imaging modality in dai...
We consider the problem of identifying frames in a cardiac ultrasound video associated with left ven...
We consider the problem of identifying frames in a cardiac ultrasound video associated with left ven...
Introduction: Changes in coronary artery luminal dimensions during the cardiac cycle can impact the ...
Purpose: The aim of this study is to evaluate the efficiency of a new automatic image processing tec...
Echocardiography provides recordings of the heart chamber size and function and is a central tool fo...
Abstract—We propose a new approach for the generation of synthetic but visually realistic time serie...
Abstract. In this paper, we propose to create a rich database of syn-thetic time series of 3D echoca...
The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves...
Heart disease is the major cause of death in the developed world. Due to its fast, portable, low-cos...
We propose an independent objective method to characterize different patterns of functional response...
International audienceIn this paper, we propose to create a rich database of syn- thetic time series...
Heart failure (HF) is associated with poor patient outcomes and burdens healthcare systems and clini...
International audienceConvolutional neural networks (CNN) have demonstrated their ability to segment...
International audience2D echocardiography remains nowadays the main clinical imaging modality in dai...