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Cardiac ultrasound imaging is used to diagnose various heart diseases. Common analysis pipelines involve manual processing of the video frames by expert clinicians. This suffers from intra- and inter-observer variability. We propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2021-07-05 Hadrien Reynaud , Athanasios Vlontzos , Benjamin Hou , Arian Beqiri , Paul Leeson , Bernhard Kainz

Accurate LVEF measurement is important in clinical practice as it identifies patients who may be in need of life-prolonging treatments. This paper presents a deep learning based framework to automatically estimate left ventricular ejection…

Image and Video Processing · Electrical Eng. & Systems 2023-04-18 Meghan Muldoon , Naimul Khan

Learning spatiotemporal features is an important task for efficient video understanding especially in medical images such as echocardiograms. Convolutional neural networks (CNNs) and more recent vision transformers (ViTs) are the most…

Computer Vision and Pattern Recognition · Computer Science 2022-09-12 Rand Muhtaseb , Mohammad Yaqub

Left ventricular ejection fraction (LVEF) is a key indicator of cardiac function and plays a central role in the diagnosis and management of cardiovascular disease. Echocardiography, as a readily accessible and non-invasive imaging…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Shravan Saranyan , Pramit Saha

Heart failure remains a major public health challenge with growing costs. Ejection fraction (EF) is a key metric for the diagnosis and management of heart failure however estimation of EF using echocardiography remains expensive for the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-26 Walt Williams , Rohan Doshi , Yanran Li , Kexuan Liang

Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing methods for LVEF estimation from video require large amounts of annotated data to achieve high performance, e.g. using 10,030 labeled…

Computer Vision and Pattern Recognition · Computer Science 2022-12-19 Weihang Dai , Xiaomeng Li , Xinpeng Ding , Kwang-Ting Cheng

Ejection fraction (EF) is a key indicator of cardiac function, allowing identification of patients prone to heart dysfunctions such as heart failure. EF is estimated from cardiac ultrasound videos known as echocardiograms (echo) by manually…

Image and Video Processing · Electrical Eng. & Systems 2023-07-25 Masoud Mokhtari , Teresa Tsang , Purang Abolmaesumi , Renjie Liao

Segmentation of the left ventricle in cardiac magnetic resonance imaging MRI scans enables cardiologists to calculate the volume of the left ventricle and subsequently its ejection fraction. The ejection fraction is a measurement that…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Garvit Chhabra , J. H. Gagan , J. R. Harish Kumar

Ejection fraction (EF) is commonly measured by echocardiography, by dividing the volume ejected by the heart (stroke volume) by the volume of the filled heart (end-diastolic volume). Utilizing volume changes of left myocardial segments per…

Medical Physics · Physics 2018-03-09 Mersedeh Karvandi , Saeed Ranjbar

Early detection of cardiac dysfunction through routine screening is vital for diagnosing cardiovascular diseases. An important metric of cardiac function is the left ventricular ejection fraction (EF), where lower EF is associated with…

Image and Video Processing · Electrical Eng. & Systems 2023-09-08 Ece Ozkan , Thomas M. Sutter , Yurong Hu , Sebastian Balzer , Julia E. Vogt

Automated segmentation of the left ventricular endocardium in echocardiography videos is a key research area in cardiology. It aims to provide accurate assessment of cardiac structure and function through Ejection Fraction (EF) estimation.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Dongfang Wang , Jian Yang , Yizhe Zhang , Tao Zhou

The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). In order to quantify LVEF automatically and accurately, this paper…

Purpose: Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function. However, delineation of the left ventricle is challenging due to the inherent properties of ultrasound…

Image and Video Processing · Electrical Eng. & Systems 2021-09-07 Deepa Krishnaswamy , Abhilash R. Hareendranathan , Tan Suwatanaviroj , Pierre Boulanger , Harald Becher , Michelle Noga , Kumaradevan Punithakumar

Left ventricular ejection fraction (LVEF) assessment depends on echocardiography, limiting access in primary care and resource-constrained settings. We developed a multimodal machine-learning framework that combines engineered 12-lead ECG…

Machine Learning · Computer Science 2026-04-30 Catherine Ning , Yu Ma , Cindy Beini Wang , Sean McMahon , Joseph Radojevic , Steven Zweibel , Dimitris Bertsimas

Accurate and consistent predictions of echocardiography parameters are important for cardiovascular diagnosis and treatment. In particular, segmentations of the left ventricle can be used to derive ventricular volume, ejection fraction (EF)…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Sarina Thomas , Andrew Gilbert , Guy Ben-Yosef

Cardiovascular diseases stand as the primary global cause of mortality. Among the various imaging techniques available for visualising the heart and evaluating its function, echocardiograms emerge as the preferred choice due to their safety…

Image and Video Processing · Electrical Eng. & Systems 2023-11-22 Adil Dahlan , Cyril Zakka , Abhinav Kumar , Laura Tang , Rohan Shad , Robyn Fong , William Hiesinger

Cardiovascular diseases, particularly heart failure, are a leading cause of death globally. The early detection of heart failure through routine echocardiogram screenings is often impeded by the high cost and labor-intensive nature of these…

Image and Video Processing · Electrical Eng. & Systems 2024-01-12 Ethan Thomas , Salman Aslam

Ejection fraction (EF) of the left ventricle (LV) is considered as one of the most important measurements for diagnosing acute heart failure and can be estimated during cardiac ultrasound acquisition. While recent successes in deep learning…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Sarina Thomas , Qing Cao , Anna Novikova , Daria Kulikova , Guy Ben-Yosef

Cardiac function assessment aims at predicting left ventricular ejection fraction (LVEF) given an echocardiogram video, which requests models to focus on the changes in the left ventricle during the cardiac cycle. How to assess cardiac…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Guanqi Chen , Guanbin Li

Medical image analysis, especially segmenting a specific organ, has an important role in developing clinical decision support systems. In cardiac magnetic resonance (MR) imaging, segmenting the left and right ventricles helps physicians…

Computer Vision and Pattern Recognition · Computer Science 2018-02-23 Mina Nasr-Esfahani , Majid Mohrekesh , Mojtaba Akbari , S. M. Reza Soroushmehr , Ebrahim Nasr-Esfahani , Nader Karimi , Shadrokh Samavi , Kayvan Najarian
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