10 citations · 18 across the 4 of their papers we have counts for
4 papers
Echocardiography Segmentation with Enforced Temporal Consistency
Nathan Painchaud, Nicolas Duchateau, Olivier Bernard +1
Convolutional neural networks (CNN) have demonstrated their ability to segment 2D cardiac ultrasound images. However, despite recent successes according to which the intra-observer…
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1
We propose a method based on deep learning to perform cardiac segmentation on short axis MRI image stacks iteratively from the top slice (around the base) to the bottom slice (arou…
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation
Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1
We present a novel automated method to segment the myocardium of both left and right ventricles in MRI volumes. The segmentation is consistent in 3D across the slices such that it…
SlicerPET: A workflow based software module for PET/CT guided needle biopsy
Dženan Zukić, Julien Finet, Emmanuel Wilson +4
Biopsy is commonly used to confirm cancer diagnosis when radiologically indicated. Given the ability of PET to localize malignancies in heterogeneous tumors and tumors that do not…