10 citations · 13 across the 3 of their papers we have counts for
4 papers
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Lei Li, Fuping Wu, Sihan Wang +29
Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on myocardiu…
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter
Xiaoran Zhang, Michelle Noga, David Glynn Martin +1
This study proposes a fully automated approach for the left atrial segmentation from routine cine long-axis cardiac magnetic resonance image sequences using deep convolutional neur…
Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences
Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
Myocardial characterization is essential for patients with myocardial infarction and other myocardial diseases, and the assessment is often performed using cardiac magnetic resonan…
A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
Xiaoran Zhang, Hexiang Dong, Di Gao +1
Image registration algorithms can be generally categorized into two groups: non-rigid and rigid. Recently, many deep learning-based algorithms employ a neural net to characterize n…