Title
Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound.
Abstract
•Multi-scale estimation of statistics of ultrasonic backscattering from tissues.•Ultrasonic signal confidence estimation for fidelity of statistics estimation.•Machine learning of US statistical physics and signal confidence of heterogeneous tissue.•Use of the framework for heterogeneous atherosclerotic plaque characterization.•Probabilistic characterization of co-localized heterogeneous tissues.
Year
DOI
Venue
2014
10.1016/j.media.2013.10.002
Medical Image Analysis
Keywords
Field
DocType
Intravascular ultrasound,Tissue characterization,Nakagami distribution,Ultrasound signal confidence,Machine learning
Statistical physics,Ultrasonic sensor,Heterogeneous tissue,Intravascular ultrasound,Pattern recognition,Backscatter,Artificial intelligence,Labeled data,Random forest,Mathematics
Journal
Volume
Issue
ISSN
18
1
1361-8415
Citations 
PageRank 
References 
3
0.52
15
Authors
10
Name
Order
Citations
PageRank
Debdoot Sheet19217.01
Athanasios Karamalis212110.12
Abouzar Eslami311915.85
Peter B Noel494.65
Jyotirmoy Chatterjee59710.89
Ajoy K Ray6957.89
Andrew F. Laine774783.01
Stephane G Carlier8494.74
Nassir Navab96594578.60
Amin Katouzian1021922.66