Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review

Video-based AI for beat-to-beat assessment of cardiac function

(2020) David Ouyang et al.   NATURE

Robust brain extraction tool for CT head images

(2019) Zeynettin Akkus et al.   NEUROCOMPUTING

A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images

(2019) Kenya Kusunose et al.   JACC-Cardiovascular Imaging

Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training

(2019) Mohammad H. Jafari et al.   International Journal of Computer Assisted Radiology and Surgery

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

(2019) Sarah Leclerc et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

(2019) Zeynettin Akkus et al.   Journal of the American College of Radiology

A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes

(2019) Jinbao Dong et al.   IEEE Journal of Biomedical and Health Informatics

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

(2018) Ozan Oktay et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

(2018) Kenneth A. Philbrick et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Fully Automated Echocardiogram Interpretation in Clinical Practice

(2018) Jeffrey Zhang et al.   CIRCULATION

Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View

(2017) Amir H. Abdi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Visual Saliency Detection Based on Multiscale Deep CNN Features

(2016) Guanbin Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography

(2016) Sukrit Narula et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION