Search Results - "Ostvik, Andreas"
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Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks
Published in Ultrasound in medicine & biology (01-02-2019)“…Transthoracic echocardiography examinations are usually performed according to a protocol comprising different probe postures providing standard views of the…”
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Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
Published in IEEE transactions on medical imaging (01-09-2019)“…Delineation of the cardiac structures from 2D echocardiographic images is a common clinical task to establish a diagnosis. Over the past decades, the…”
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Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated Views
Published in JACC. Cardiovascular imaging (01-12-2023)“…Myocardial deformation by echocardiographic strain imaging is a key measurement in cardiology, providing valuable diagnostic and prognostic information…”
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Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-12-2020)“…Volume and ejection fraction (EF) measurements of the left ventricle (LV) in 2-D echocardiography are associated with a high uncertainty not only due to…”
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Myocardial Function Imaging in Echocardiography Using Deep Learning
Published in IEEE transactions on medical imaging (01-05-2021)“…Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic value than conventional anatomical measures such as ejection…”
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High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST
Published in IEEE access (2019)“…Deep convolutional neural networks have quickly become the standard for medical image analysis. Although there are many frameworks focusing on training neural…”
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Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography
Published in Ultrasound in medicine & biology (01-04-2024)“…The right ventricle receives less attention than its left counterpart in echocardiography research, practice and development of automated solutions. In the…”
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LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-12-2020)“…Segmentation of cardiac structures is one of the fundamental steps to estimate volumetric indices of the heart. This step is still performed semiautomatically…”
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Real-Time Echocardiography Guidance for Optimized Apical Standard Views
Published in Ultrasound in medicine & biology (01-01-2023)“…Measurements of cardiac function such as left ventricular ejection fraction and myocardial strain are typically based on 2-D ultrasound imaging. The…”
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Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
Published in European heart journal cardiovascular imaging (22-02-2024)“…Abstract Aims Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV) ejection fraction (EF) is a key parameter for patient management…”
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Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings
Published in IEEE journal of biomedical and health informatics (01-05-2024)“…Cardiac valve event timing plays a crucial role when conducting clinical measurements using echocardiography. However, established automated approaches are…”
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Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy
Published in European urology open science (Online) (01-05-2021)“…Extracorporeal shock wave lithotripsy (ESWL) of kidney stones is losing ground to more expensive and invasive endoscopic treatments. This proof-of-concept…”
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Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography
Published in JACC. Cardiovascular imaging (01-10-2021)“…This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep…”
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Ultrasound Speckle Reduction Using Generative Adversial Networks
Published in 2018 IEEE International Ultrasonics Symposium (IUS) (01-10-2018)“…Generative adversial networks (GANs) have shown its ability to create realistic and accurate image-to-image transformation. The goal of this work was to…”
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Evaluating the effectiveness and efficacy of unguided internet-based self-help intervention for the prevention of depression: a randomized controlled trial
Published in Clinical psychology and psychotherapy (01-01-2013)“…The Internet has the potential to increase the capacity and accessibility of mental health services. This study aimed to investigate whether an unguided…”
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The Need for Web-Based Cognitive Behavior Therapy Among University Students
Published in Journal of technology in human services (01-01-2008)“…This study investigates students' need for a web-based cognitive-behavior therapy (CBT) intervention program for preventing depression, the mental health…”
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Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study
Published in Journal of the American Society of Echocardiography (01-07-2023)“…Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method…”
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Fully Automatic Real-Time Ejection Fraction and MAPSE Measurements in 2D Echocardiography Using Deep Neural Networks
Published in 2018 IEEE International Ultrasonics Symposium (IUS) (01-10-2018)“…Cardiac ultrasound measurements such as left ventricular volume, ejection fraction (EF) and mitral annular plane systolic excursion (MAPSE) are time consuming…”
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Conference Proceeding