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Andrew Nicolaides
University of Cyprus
94Publications
20H-index
2,002Citations
Publications 94
Newest
Published on Jul 1, 2019in Current Atherosclerosis Reports 2.56
Ankush D. Jamthikar3
Estimated H-index: 3
,
Deep Gupta7
Estimated H-index: 7
+ 17 AuthorsAjay Gupta28
Estimated H-index: 28
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Published on May 1, 2019in European Journal of Radiology 2.84
Luca Saba28
Estimated H-index: 28
,
Mainak Biswas3
Estimated H-index: 3
(National Institute of Technology Goa)
+ 14 AuthorsSophie Mavrogeni24
Estimated H-index: 24
Abstract The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected the healthcare industry it has also influenced global businesses. Within a span of very few years, advances such as self-driving cars, robots performing jobs that are hazardous to human, and chat bots talking with human operators have proved that DL has already made large impact on our lives. The open source nature of DL and decreasing pric...
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Published on May 1, 2019in Computers in Biology and Medicine 2.12
Elisa Cuadrado-Godia4
Estimated H-index: 4
,
Ankush D. Jamthikar3
Estimated H-index: 3
(Visvesvaraya National Institute of Technology)
+ 17 AuthorsTomaz Omerzu1
Estimated H-index: 1
Abstract Purpose Conventional cardiovascular risk factors (CCVRFs) and carotid ultrasound image-based phenotypes (CUSIP) are independently associated with long-term risk of cardiovascular (CV) disease. In this study, 26 cardiovascular risk (CVR) factors which consisted of a combination of CCVRFs and CUSIP together were ranked. Further, an optimal risk calculator using AtheroEdge composite risk score (AECRS1.0) was designed and benchmarked against seven conventional CV risk (CVR) calculators. Met...
1 Citations Source Cite
Published on Apr 15, 2019in Medical & Biological Engineering & Computing 1.97
Narendra N. Khanna4
Estimated H-index: 4
(Apollo Hospitals),
Ankush D. Jamthikar3
Estimated H-index: 3
(Visvesvaraya National Institute of Technology)
+ 13 AuthorsHarman S. Suri8
Estimated H-index: 8
(Brown University)
Today, the 10-year cardiovascular risk largely relies on conventional cardiovascular risk factors (CCVRFs) and suffers from the effect of atherosclerotic wall changes. In this study, we present a novel risk calculator AtheroEdge Composite Risk Score (AECRS1.0), designed by fusing CCVRF with ultrasound image-based phenotypes. Ten-year risk was computed using the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study 56 (UKPDS56), UKPDS60, Reynolds Risk Score (RRS), and pooled comp...
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Published on Feb 1, 2019in Computers in Biology and Medicine 2.12
Narendra N. Khanna4
Estimated H-index: 4
(Apollo Hospitals),
Ankush D. Jamthikar3
Estimated H-index: 3
(Visvesvaraya National Institute of Technology)
+ 16 AuthorsHarman S. Suri8
Estimated H-index: 8
(Brown University)
Abstract Motivation AtheroEdge Composite Risk Score (AECRS1.0 10yr ) is an integrated stroke/cardiovascular risk calculator that was recently developed and computes the 10-year risk of carotid image phenotypes by integrating conventional cardiovascular risk factors (CCVRFs). It is therefore important to understand how closely AECRS1.0 10yr is associated with the ten other currently available conventional cardiovascular risk calculators (CCVRCs). Methods The Institutional Review Board of Toho Uni...
1 Citations Source Cite
Published on Feb 1, 2019in Medical & Biological Engineering & Computing 1.97
Mainak Biswas3
Estimated H-index: 3
,
Venkatanareshbabu Kuppili6
Estimated H-index: 6
+ 7 AuthorsJasjit S. Suri26
Estimated H-index: 26
Manual ultrasound (US)-based methods are adapted for lumen diameter (LD) measurement to estimate the risk of stroke but they are tedious, error prone, and subjective causing variability. We propose an automated deep learning (DL)-based system for lumen detection. The system consists of a combination of two DL systems: encoder and decoder for lumen segmentation. The encoder employs a 13-layer convolution neural network model (CNN) for rich feature extraction. The decoder employs three up-sample l...
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Published on Dec 1, 2018
Elisa Cuadrado-Godia4
Estimated H-index: 4
,
Saurabh Kr. Srivastava1
Estimated H-index: 1
(ABES Engineering College)
+ 10 AuthorsSophie Mavrogeni24
Estimated H-index: 24
Currently, carotid intima-media thickness (cIMT) and geometric total plaque area (gTPA) are computed manually and thus are tedious and prone to interobserver and intraobserver variabilities. This study presents an intelligence-based automated deep learning (DL)–based technique for carotid wall interface detection, cIMT, and lumen diameter (LD) measurements, followed by a 3D cylindrical approach for TPA measurement. The observers were used for manual tracings of which were then used for the desig...
3 Citations Source Cite
Published on Oct 1, 2018in Computers in Biology and Medicine 2.12
Elisa Cuadrado-Godia4
Estimated H-index: 4
,
Maniruzzaman1
Estimated H-index: 1
(Johns Hopkins University)
+ 15 AuthorsJagjit S. Teji1
Estimated H-index: 1
(Northwestern University)
Abstract Background This study examines the association between six types of carotid artery disease image-based phenotypes and HbA1c in diabetes patients. Six phenotypes (intima-media thickness measurements (cIMT (ave.), cIMT (max.), cIMT (min.)), bidirectional wall variability (cIMTV), morphology-based total plaque area (mTPA), and composite risk score (CRS)) were measured in an automated setting using AtheroEdge™ (AtheroPoint, CA, USA). Method Consecutive 199 patients (157 M, age: 68.96 ± 10.9...
4 Citations Source Cite
Published on Sep 30, 2018in Journal of stroke 4.75
Elisa Cuadrado-Godia4
Estimated H-index: 4
,
Pratistha Dwivedi1
Estimated H-index: 1
(Amity Institute of Biotechnology)
+ 10 AuthorsAndrew Nicolaides20
Estimated H-index: 20
(University of Cyprus)
4 Citations Source Cite
Published on Sep 1, 2018in Computer Methods and Programs in Biomedicine 2.67
P. Krishna Kumar1
Estimated H-index: 1
(National Institute of Technology Calicut),
Tadashi Araki12
Estimated H-index: 12
(Toho University)
+ 3 AuthorsJasjit S. Suri26
Estimated H-index: 26
(University of Idaho)
Abstract Background and objective Accurate, reliable, efficient, and precise measurements of the lumen geometry of the common carotid artery (CCA) are important for (a) managing the progression/regression of atherosclerotic build-up and (b) the risk of stroke. The image-based degree of stenosis in the carotid artery and the plaque burden can be predicted using the automated carotid lumen diameter (LD)/inter-adventitial diameter (IAD) measurements from B-mode ultrasound images. The objective of t...
1 Citations Source Cite
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