no code implementations • 3 Mar 2021 • Vivek P. Jani, Nadjia Kachenoura, Alban Redheuil, Gisela Teixido-Tura, Kevin Bouaou, Emilie Bollache, Elie Mousseaux, Alain De Cesare, Shelby Kutty, Colin O. Wu, David A. Bluemke, Joao A. C. Lima, Bharath Ambale-Venkatesh
CCC for comparison of manual and CNN maximum and minimum ascending aortic areas were 0. 97 and 0. 95, respectively, on the internal test set and 0. 997 and 0. 995, respectively, for the external test.
no code implementations • 10 Feb 2018 • Vishwa S. Parekh, Katarzyna J. Macura, Susan Harvey, Ihab Kamel, Riham EI-Khouli, David A. Bluemke, Michael A. Jacobs
For example, using a deep learning network, we developed and tested a multiparametric deep learning (MPDL) network for segmentation and classification using multiparametric magnetic resonance imaging (mpMRI) radiological images.
no code implementations • 3 Nov 2017 • Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble
Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing step for a wide range of analyses.
no code implementations • 12 Apr 2017 • Davis M. Vigneault, Weidi Xie, David A. Bluemke, J. Alison Noble
Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free precession (SSFP) cine sequences.
no code implementations • 5 Dec 2016 • Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of chronic obstructive pulmonary disease (COPD).