Encoder Modified U-Net and Feature Pyramid Network for Multi-class Segmentation of Cardiac Magnetic Resonance Images

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

(2021) Xi Zhou et al.   Frontiers in Aging Neuroscience

A cascaded FC-DenseNet and level set method (FCDL) for fully automatic segmentation of the right ventricle in cardiac MRI

(2021) Yang Luo et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Fast and Automated Segmentation for the Three-Directional Multi-Slice Cine Myocardial Velocity Mapping

(2021) Yinzhe Wu et al.   Diagnostics

A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI

(2021) Asma Ammari et al.   IET Image Processing

An Augmented Deep Learning Network with Noise Suppression Feature for Efficient Segmentation of Magnetic Resonance Images

(2021) Sumit Tripathi et al.   IETE TECHNICAL REVIEW

Computer-aided automatic approach for denoising of magnetic resonance images

(2021) Sumit Tripathi et al.   Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

(2021) Jun Chen et al.   IEEE Journal of Biomedical and Health Informatics

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis

(2020) Ming Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

3D PBV-Net: An automated prostate MRI data segmentation method

(2020) Yao Jin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

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

(2018) Olivier Bernard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers

(2018) Mahendra Khened et al.   MEDICAL IMAGE ANALYSIS

A 3-D Active Contour Method for Automated Segmentation of the Left Ventricle From Magnetic Resonance Images

(2017) Mahdi Hajiaghayi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory

(2017) M. Usman et al.   MAGNETIC RESONANCE IMAGING

Left ventricular volume measurements with free breathing respiratory self-gated 3-dimensional golden angle radial whole-heart cine imaging – Feasibility and reproducibility

(2017) Karen Holst et al.   MAGNETIC RESONANCE IMAGING

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

(2017) Sabri Boughorbel et al.   PLoS One

P values: from suggestion to superstition

(2016) John Concato et al.   JOURNAL OF INVESTIGATIVE MEDICINE

Active contour model and nonlinear shape priors with application to left ventricle segmentation in cardiac MR images

(2016) Van-Truong Pham et al.   OPTIK

Right ventricle segmentation from cardiac MRI: A collation study

(2015) Caroline Petitjean et al.   MEDICAL IMAGE ANALYSIS

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automatic Localization of the Left Ventricle from Cardiac Cine Magnetic Resonance Imaging: A New Spectrum-Based Computer-Aided Tool

(2014) Liang Zhong et al.   PLoS One

A survey of shaped-based registration and segmentation techniques for cardiac images

(2013) Vahid Tavakoli et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Left ventricle segmentation in MRI via convex relaxed distribution matching

(2013) Cyrus M.S. Nambakhsh et al.   MEDICAL IMAGE ANALYSIS

Late-life coronary heart disease mortality of Finnish war veterans in the TAMRISK study, a 28-year follow-up

(2011) Tarja Kunnas et al.   BMC PUBLIC HEALTH