Automated detection of cardiac phase from intracoronary ultrasound image sequences

Bio-Medical Materials and Engineering ◽

10.3233/bme-151336 ◽

2015 ◽

Vol 26 (s1) ◽

pp. S467-S475 ◽

Author(s):

Zheng Sun ◽

Yi Dong ◽

Mengchan Li

Keyword(s):

Ultrasound Image ◽

Image Sequences ◽

Automated Detection ◽

Cardiac Phase ◽

Intracoronary Ultrasound

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Unequivocal Cardiac Phase Sorting From Alternating Ramp-And Pulse-Illuminated Microscopy Image Sequences

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi48211.2021.9433858 ◽

2021 ◽

Author(s):

Olivia Mariani ◽

Francois Marelli ◽

Christian Jaques ◽

Alexander Ernst ◽

Michael Liebling

Keyword(s):

Image Sequences ◽

Cardiac Phase ◽

Microscopy Image

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An Upgraded Siamese Neural Network for Motion Tracking in Ultrasound Image Sequences

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control ◽

10.1109/tuffc.2021.3095299 ◽

2021 ◽

pp. 1-1

Author(s):

Skanda Bharadwaj ◽

Sumukha Prasad ◽

Mohamed Almekkawy

Keyword(s):

Neural Network ◽

Motion Tracking ◽

Ultrasound Image ◽

Image Sequences

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3D Wiener Filtering to Reduce Reverberations in Ultrasound Image Sequences

Image Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-45103-x_77 ◽

2003 ◽

pp. 579-586 ◽

Author(s):

Nina Eriksson Bylund ◽

Marcus Ressner ◽

Hans Knutsson

Keyword(s):

Ultrasound Image ◽

Image Sequences ◽

Wiener Filtering

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Motion estimation for ultrasound image sequences using deep learning

The Journal of the Acoustical Society of America ◽

10.1121/1.5146893 ◽

2020 ◽

Vol 148 (4) ◽

pp. 2487-2487

Author(s):

Skanda Bharadwaj ◽

Mohamed Almekkawy

Keyword(s):

Deep Learning ◽

Motion Estimation ◽

Ultrasound Image ◽

Image Sequences

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Automatic Left Ventricle Recognition, Segmentation and Tracking in Cardiac Ultrasound Image Sequences

IEEE Access ◽

10.1109/access.2019.2920957 ◽

2019 ◽

Vol 7 ◽

pp. 140524-140533 ◽

Author(s):

Wei-Yen Hsu

Keyword(s):

Left Ventricle ◽

Ultrasound Image ◽

Image Sequences ◽

Cardiac Ultrasound ◽

Segmentation And Tracking

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Automated Tracking of the Carotid Artery in Ultrasound Image Sequences Using a Self Organizing Neural Network

2010 20th International Conference on Pattern Recognition ◽

10.1109/icpr.2010.623 ◽

2010 ◽

Author(s):

Jimmy C. Azar ◽

Hamed Hamid Muhammed

Keyword(s):

Neural Network ◽

Carotid Artery ◽

Ultrasound Image ◽

Image Sequences ◽

Automated Tracking ◽

Self Organizing

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Dynamic Enhancement of B-Mode Cardiac Ultrasound Image Sequences

Ultrasound in Medicine & Biology ◽

10.1016/j.ultrasmedbio.2017.03.006 ◽

2017 ◽

Vol 43 (7) ◽

pp. 1533-1548 ◽

Author(s):

Antonios Perperidis ◽

David Cusack ◽

Audrey White ◽

Norman McDicken ◽

Tom MacGillivray ◽

...

Keyword(s):

Ultrasound Image ◽

Image Sequences ◽

Cardiac Ultrasound ◽

Dynamic Enhancement

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A registration-based approach to quantify flow-mediated dilation (FMD) of the brachial artery in ultrasound image sequences

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2003.819278 ◽

2003 ◽

Vol 22 (11) ◽

pp. 1458-1469 ◽

Author(s):

A.F. Frangi ◽

M. Laclaustra ◽

P. Lamata

Keyword(s):

Brachial Artery ◽

Ultrasound Image ◽

Image Sequences ◽

Flow Mediated Dilation

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Model-based multi-objective analysis of ultrasound image sequences in prenatal diagnosis

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.1997.609441 ◽

2002 ◽

Author(s):

H.I. Bozma ◽

E. Kemik

Keyword(s):

Prenatal Diagnosis ◽

Ultrasound Image ◽

Image Sequences ◽

Objective Analysis ◽

Multi Objective ◽

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Classification of Cardiac Ultrasound Image Sequences Based on Sparse Representation

Journal of Software ◽

10.4304/jsw.9.9.2309-2314 ◽

2014 ◽

Vol 9 (9) ◽

Author(s):

Xiaofang Hou ◽

Penghua Zhu ◽

Yanxin Ma

Keyword(s):

Sparse Representation ◽

Ultrasound Image ◽

Image Sequences ◽

Cardiac Ultrasound

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