Name
Affiliation
Papers
M VEMBAR
Philips Healthcare - CT Clinical Science, Cleveland, OH
14
Collaborators
Citations 
PageRank 
50
51
7.27
Referers 
Referees 
References 
278
248
68
Search Limit
100278
Title
Citations
PageRank
Year
Learning A Sparse Database For Patch-Based Medical Image Segmentation00.342019
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.00.342019
Deep-learning-based CT motion artifact recognition in coronary arteries.00.342018
Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.00.342016
Calibration free beam hardening correction for cardiac CT perfusion imaging.00.342016
Effect of beam hardening on transmural myocardial perfusion quantification in myocardial CT imaging00.342016
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.10.392016
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations.20.392015
Dynamic myocardial perfusion in a porcine balloon-induced ischemia model using a prototype spectral detector CT20.722015
Low dose dynamic myocardial CT perfusion using advanced iterative reconstruction00.342015
Segmentation of the heart and great vessels in CT images using a model-based adaptation framework.321.482011
Accurate segmentation of the left ventricle in computed tomography images for local wall thickness assessment.10.392010
Segmentation of the heart and major vascular structures in cardiovascular CT images111.092008
Automatic whole heart segmentation in CT images: method and validation20.452007