Deep Learning Publication Navigator - subtopic: cardiac

Year TitleAuthor
2017   Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach  MR Avendi, A Kheradvar, H Jafarkhani
2017   Cardiac left ventricular volumes prediction method based on atlas location and deep learning  G Luo, S Dong, K Wang, H Zhang
2017   $\nu $-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters  HB Winther, C Hundt, B Schmidt, C Czerner
2017   A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI  GN Luo, GX Sun, KQ Wang, SY Dong, HG Zhang
2017   Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning  T Zhou, I Icke, B Dogdas, S Parimal, S Sampath
2017   3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI  D Yang, P Wu, C Tan, KM Pohl, L Axel, D Metaxas
2017   Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders  S Haldar, E Nyktari, X Ye, G Slabaugh, T Wong
2017   An End-to-End Computer Vision Pipeline for Automated Cardiac Function Assessment by Echocardiography  RC Deo, J Zhang, LA Hallock, S Gajjala, L Nelson
2017   Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization  DM Vigneault, W Xie, DA Bluemke, JA Noble
2017   Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences  LK Tan, YM Liew, E Lim, RA McLaughlin
2017   FastVentricle: Cardiac Segmentation with ENet  J Lieman
2016   A Combined Deep-Learning and Deformable-Model Approach to Fully Automatic Segmentation of the Left Ventricle in Cardiac MRI  MR Avendi, A Kheradvar, H Jafarkhani
2016   A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI  PV Tran
2016   An Overview of Techniques for Cardiac Left Ventricle Segmentation on Short-Axis MRI  A Krasnobaev, A Sozykin
2016   Rationale and Methodology of a Collaborative Learning Project in Congenital Cardiac Care  MJ Wolf, EK Lee, SC Nicolson, GD Pearson, MK Witte
2016   Connecting intentional learning and cardiac specialty practice: The experiences of bachelor of science in nursing students  KL Rush, R Wilson, J Costigan, M Bannerman
2016   4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation  Y Gu, GZ Yang, J Yang, K Sun
2016   Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation  RPK Poudel, P Lamata, G Montana
2016   Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks  L Zhang, A Gooya, B Dong, R Hua, SE Petersen
2016   Combining Deep Learning and Level Set for the Automated Segmentation of the Left Ventricle of the Heart from Cardiac Cine Magnetic Resonance  TA Ngo, Z Lu, G Carneiro
2016   A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes  C Santiago, JC Nascimento, JS Marques
2015   Simulation of cardiac emergencies with real patients  H Williams, L Yang, J Gale, S Paranehewa, A Joshi
2015   Machine Learning for Simplifying the Use of Cardiac Image Databases  J Margeta
2015   Innovation in Pediatric Cardiac Intensive Care An Exponential Convergence Toward Transformation of Care  KO Maher, AC Chang, A Shin, J Hunt, HR Wong