Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martı́n Abadi, Ashish Agarwal, Paul Barham et al. · arXiv (Cornell University) · 2016 · 9.7K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Statistical validation of image segmentation quality based on a spatial overlap index1

Kelly H. Zou, Simon K. Warfield, Aditya Bharatha et al. · Academic Radiology · 2004 · 1.8K citations · Full text

Image Segmentation Quality, Image Analysis, Machine Vision +12

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Wenjia Bai, Matthew Sinclair, Giacomo Tarroni et al. · Journal of Cardiovascular Magnetic Resonance · 2018 · 719 citations · Full text

Standardized Myocardial Segmentation and Nomenclature for Tomographic Imaging of the Heart

Manuel D. Cerqueira, Neil J. Weissman, Vasken Dilsizian et al. · Journal of Cardiovascular Magnetic Resonance · 2002 · 543 citations

Computed Tomography, Heart Failure, Engineering +12

DENSE: Displacement Encoding with Stimulated Echoes in Cardiac Functional MRI

Anthony H. Aletras, Shujun Ding, Robert S. Balaban et al. · Journal of Magnetic Resonance · 1999 · 515 citations · Full text

Engineering, Health Sciences, Medical Imaging +8