4.7 Review

Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis

Nripesh Parajuli et al.

MEDICAL IMAGE ANALYSIS (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

Nan Zhang et al.

RADIOLOGY (2019)

Article Biology

Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension

Wenjun Yan et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

Article Computer Science, Interdisciplinary Applications

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography

Sarah Leclerc et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging

Manly van Assen et al.

EUROPEAN JOURNAL OF RADIOLOGY (2019)

Article Computer Science, Information Systems

Deep Learning Assessment of Myocardial Infarction From MR Image Sequences

Mingqiang Chen et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

Deep-learning cardiac motion analysis for human survival prediction

Ghalib A. Bello et al.

NATURE MACHINE INTELLIGENCE (2019)

Article Gastroenterology & Hepatology

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy

Gregor Urban et al.

GASTROENTEROLOGY (2018)

Article Computer Science, Interdisciplinary Applications

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)

Article Computer Science, Interdisciplinary Applications

Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model

Yuanwei Li et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)

Article Computer Science, Artificial Intelligence

A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images

Jian Wu et al.

MEDICAL IMAGE ANALYSIS (2018)

Article Computer Science, Artificial Intelligence

A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy

Emran Mohammad Abu Anas et al.

MEDICAL IMAGE ANALYSIS (2018)

Article Computer Science, Artificial Intelligence

Full left ventricle quantification via deep multitask relationships learning

Wufeng Xue et al.

MEDICAL IMAGE ANALYSIS (2018)

Review Cardiac & Cardiovascular Systems

Echocardiography in Congenital Heart Disease

George Mcleod et al.

PROGRESS IN CARDIOVASCULAR DISEASES (2018)

Article Health Care Sciences & Services

Fast and accurate view classification of echocardiograms using deep learning

Ali Madani et al.

NPJ DIGITAL MEDICINE (2018)

Article Computer Science, Artificial Intelligence

A fused deep learning architecture for viewpoint classification of echocardiography

Xiaohong Gao et al.

INFORMATION FUSION (2017)

Article Computer Science, Artificial Intelligence

A survey on deep learning in medical image analysis

Geert Litjens et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Cardiac & Cardiovascular Systems

Recent Advances in Cardiovascular Magnetic Resonance Techniques and Applications

Michael Salerno et al.

CIRCULATION-CARDIOVASCULAR IMAGING (2017)

Editorial Material Cardiac & Cardiovascular Systems

Three-dimensional echocardiography in congenital heart disease: The next steps

John M. Simpson

ARCHIVES OF CARDIOVASCULAR DISEASES (2016)

Article Computer Science, Artificial Intelligence

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

Jelmer M. Wolterink et al.

MEDICAL IMAGE ANALYSIS (2016)

Article Cardiac & Cardiovascular Systems

Cardiovascular Magnetic Resonance in Cardiology Practice: A Concise Guide to Image Acquisition and Clinical Interpretation

Silvia Valbuena-Lopez et al.

REVISTA ESPANOLA DE CARDIOLOGIA (2016)

Review Cardiac & Cardiovascular Systems

Clinical Application of 3-Dimensional Echocardiography in the USA

Takahiro Shiota

CIRCULATION JOURNAL (2015)

Review Cardiac & Cardiovascular Systems

Multimodality Evaluation of the Right Ventricle: An Updated Review

Marijana Tadic

CLINICAL CARDIOLOGY (2015)

Review Cardiac & Cardiovascular Systems

Left Ventricular Dyssynchrony by Three-Dimensional Echocardiography: Current Understanding and Potential Future Clinical Applications

Qiangjun Cai et al.

ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES (2015)

Article Cardiac & Cardiovascular Systems

Optimal use of echocardiography in valvular heart disease evaluation

Robert J. Siegel et al.

HEART (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Computed Tomography Evaluation of Cardiac Structure and Function

Michiel L. Sala et al.

JOURNAL OF THORACIC IMAGING (2014)

Article Computer Science, Artificial Intelligence

3D Convolutional Neural Networks for Human Action Recognition

Shuiwang Ji et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Article Computer Science, Artificial Intelligence

Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data

Gustavo Carneiro et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Review Radiology, Nuclear Medicine & Medical Imaging

MR Myocardial Perfusion Imaging

Otavio R. Coelho-Filho et al.

RADIOLOGY (2013)

Article Computer Science, Artificial Intelligence

The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods

Gustavo Carneiro et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)

Article Computer Science, Interdisciplinary Applications

Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning

Shijun Wang et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2012)

Article Computer Science, Artificial Intelligence

A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities

Nicolas Duchateau et al.

MEDICAL IMAGE ANALYSIS (2011)

Review Physiology

Computational cardiac atlases: from patient to population and back

Alistair A. Young et al.

EXPERIMENTAL PHYSIOLOGY (2009)

Article Cardiac & Cardiovascular Systems

Different patterns of aortic wall elasticity in patients with Marfan syndrome:: A noninvasive follow-up study

Daniela Baumgartner et al.

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2006)