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Andrew Nicolaides
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2020 – today
- 2024
- [j53]Georgia D. Liapi
, Christos P. Loizou, Constantinos S. Pattichis, Marios S. Pattichis, Andrew Nicolaides
Assessing the impact of ultrasound image standardization in deep learning-based segmentation of carotid plaque types. Comput. Methods Programs Biomed. 257: 108460 (2024) - [c31]Kyriacos P. Constantinou, Ioannis Constantinou, Christos P. Loizou, Efthyvoulos Kyriacou, Andreas Panayides, Andrew Nicolaides, Constantinos S. Pattichis, Marios S. Pattichis:
Atherosclerotic Carotid Plaque AM-FM Texture Feature Variability in Ultrasound Video. ISBI 2024: 1-4 - [c30]Georgia D. Liapi, Christos P. Loizou, Andrew Nicolaides, Maura Griffin, Dimitrios Kardoulas, Constantinos S. Pattichis, Efthyvoulos Kyriacou:
Carotid Plaque Motion Analysis in Ultrasound Videos to Discover Rupture-Prone Plaque Areas. ISBI 2024: 1-4 - 2023
- [c29]Georgia D. Liapi
Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images. CAIP (2) 2023: 130-139 - [c28]Georgia D. Liapi
Automated segmentation and classification of the atherosclerotic carotid plaque in ultrasound videos. DSP 2023: 1-4 - 2022
- [j52]Siva Skandha Sanagala, Andrew Nicolaides, Suneet K. Gupta, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri:
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Comput. Biol. Medicine 141: 105131 (2022) - [j51]Kristen M. Meiburger, Francesco Marzola, Guillaume Zahnd, Francesco Faita, Christos P. Loizou, Nolann Lainé, Catarina Carvalho, David A. Steinman, Lorenzo Gibello, Rosa Maria Bruno, Ricarda Clarenbach, Martina Francesconi, Andrew Nicolaides, Hervé Liebgott, Aurélio Campilho, Reza Ghotbi, Efthyvoulos Kyriacou, Nassir Navab, Maura Griffin, Andrie G. Panayiotou, Rachele Gherardini, Gianfranco Varetto, Elisabetta Bianchini, Constantinos S. Pattichis, Lorenzo Ghiadoni, José Rouco, Maciej Orkisz, Filippo Molinari:
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans. Comput. Biol. Medicine 144: 105333 (2022) - [j50]Mohit Agarwal
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine 146: 105571 (2022) - [c27]Georgia D. Liapi
Deep Learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images. AIAI Workshops 2022: 187-198 - 2021
- [j49]Christos P. Loizou, Marios Pantzaris, Efthyvoulos Kyriacou, Andrew Nicolaides, Constantinos S. Pattichis:
Effect of the internal carotid artery degree of stenosis on wall and plaque distensibility. Biomed. Signal Process. Control. 68: 102572 (2021) - [j48]Pankaj Kumar Jain
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound. Comput. Biol. Medicine 136: 104721 (2021) - [j47]Mainak Biswas, Luca Saba, Tomaz Omerzu, Amer M. Johri, Narendra N. Khanna
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework. J. Digit. Imaging 34(3): 581-604 (2021) - [j46]Mohit Agarwal
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. Medical Biol. Eng. Comput. 59(3): 511-533 (2021) - [j45]Luca Saba
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c26]Nicoletta Prentzas
Model Agnostic Explainability Techniques in Ultrasound Image Analysis. BIBE 2021: 1-6 - 2020
- [j44]Mainak Biswas, Luca Saba, Shubhro Chakrabartty, Narender N. Khanna
Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment. Comput. Biol. Medicine 123: 103847 (2020) - [j43]Ankush D. Jamthikar, Deep Gupta
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. Comput. Biol. Medicine 126: 104043 (2020) - [j42]Ankush D. Jamthikar, Deep Gupta
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J. Medical Syst. 44(12): 208 (2020)
2010 – 2019
- 2019
- [j41]Narendra N. Khanna
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. Comput. Biol. Medicine 105: 125-143 (2019) - [j40]Elisa Cuadrado Godia
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Comput. Biol. Medicine 108: 182-195 (2019) - [j39]Mainak Biswas
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk. Medical Biol. Eng. Comput. 57(2): 543-564 (2019) - [j38]Narendra N. Khanna
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. Medical Biol. Eng. Comput. 57(7): 1553-1566 (2019) - [c25]Nicoletta Prentzas
Integrating Machine Learning with Symbolic Reasoning to Build an Explainable AI Model for Stroke Prediction. BIBE 2019: 817-821 - 2018
- [j37]Mainak Biswas
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort. Comput. Biol. Medicine 98: 100-117 (2018) - [j36]Elisa Cuadrado Godia
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Comput. Biol. Medicine 101: 128-145 (2018) - [j35]P. Krishna Kumar
State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound. Comput. Methods Programs Biomed. 163: 155-168 (2018) - 2017
- [j34]Tadashi Araki, Pankaj Kumar Jain
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. Comput. Biol. Medicine 80: 77-96 (2017) - [j33]Luca Saba, Sumit K. Banchhor, Narendra D. Londhe
Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials. Comput. Biol. Medicine 91: 306-317 (2017) - [j32]Nobutaka Ikeda, Nilanjan Dey
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. Comput. Methods Programs Biomed. 141: 73-81 (2017) - [j31]Luca Saba, Pankaj Kumar Jain
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm. J. Medical Syst. 41(6): 98:1-98:31 (2017) - [j30]P. Krishna Kumar
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach. Medical Biol. Eng. Comput. 55(8): 1415-1434 (2017) - [j29]Harris Papadopoulos
Unbiased confidence measures for stroke risk estimation based on ultrasound carotid image analysis. Neural Comput. Appl. 28(6): 1209-1223 (2017) - [c24]Efthyvoulos Kyriacou, Andrew Nicolaides, Alexandra Constantinou, Maura Griffin, Christos P. Loizou
Carotid Bifurcation Plaque Stability Estimation Based on Motion Analysis. CBMS 2017: 529-534 - 2016
- [j28]Luca Saba, Sumit K. Banchhor, Harman S. Suri, Narendra D. Londhe
Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial. Comput. Biol. Medicine 75: 217-234 (2016) - [j27]Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens. Comput. Methods Programs Biomed. 124: 161-179 (2016) - [j26]Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla
PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology. Comput. Methods Programs Biomed. 128: 137-158 (2016) - [j25]Sumit K. Banchhor, Tadashi Araki, Narendra D. Londhe
Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach. Comput. Methods Programs Biomed. 134: 237-258 (2016) - [j24]Tadashi Araki, Sumit K. Banchhor, Narendra D. Londhe
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos. J. Medical Syst. 40(3): 51:1-51:20 (2016) - [j23]Nilanjan Dey
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine. J. Medical Syst. 40(4): 91:1-91:14 (2016) - [j22]Tadashi Araki, P. Krishna Kumar
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches. J. Medical Syst. 40(7): 182:1-182:19 (2016) - 2015
- [j21]Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. Comput. Methods Programs Biomed. 118(2): 158-172 (2015) - [c23]Harris Papadopoulos
Reliable Probabilistic Prediction of High-Risk Asymptomatic Carotid Plaques. EANN Workshops 2015: 16:1-16:9 - [c22]Edward Kyriacou, Paris Vogazianos
Prediction of the time period of stroke based on ultrasound image analysis of initially asymptomatic carotid plaques. EMBC 2015: 334-337 - 2014
- [j20]Christos P. Loizou
Despeckle Filtering for Multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) Texture Analysis of Ultrasound Images of the Intima-Media Complex. Int. J. Biomed. Imaging 2014: 518414:1-518414:13 (2014) - [j19]Nicolas Aristokleous
Impact of Head Rotation on the Individualized Common Carotid Flow and Carotid Bifurcation Hemodynamics. IEEE J. Biomed. Health Informatics 18(3): 783-789 (2014) - [c21]Christos P. Loizou
Texture analysis of the media-layer of the left and right common carotid artery. BHI 2014: 684-687 - 2013
- [j18]Luca Saba, Filippo Molinari
Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers. Comput. Biol. Medicine 43(9): 1261-1272 (2013) - [j17]Christos P. Loizou
Despeckle Filtering Toolbox for Medical Ultrasound Video. Int. J. Monit. Surveillance Technol. Res. 1(4): 61-79 (2013) - [j16]U. Rajendra Acharya
Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment. Medical Biol. Eng. Comput. 51(5): 513-523 (2013) - [j15]U. Rajendra Acharya
Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation. IEEE Trans. Instrum. Meas. 62(2): 392-400 (2013) - [c20]Christos P. Loizou
A comparison of ultrasound intima media thickness measurements of the left and right common carotid artery. BIBE 2013: 1-4 - [c19]Filippo Molinari, Vipin Gupta, Poornima Prabhakaran
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. EMBC 2013: 3343-3346 - 2012
- [j14]Filippo Molinari
Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods. Comput. Methods Programs Biomed. 108(3): 946-960 (2012) - [j13]Antonis Lambrou, Harris Papadopoulos
Evaluation of the Risk of Stroke with Confidence Predictions Based on Ultrasound Carotid Image Analysis. Int. J. Artif. Intell. Tools 21(4) (2012) - [j12]U. Rajendra Acharya
Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound. J. Medical Syst. 36(3): 1861-1871 (2012) - [j11]U. Rajendra Acharya
An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans. IEEE Trans. Instrum. Meas. 61(4): 1045-1053 (2012) - [j10]Filippo Molinari
Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration. IEEE Trans. Instrum. Meas. 61(4): 1054-1063 (2012) - [j9]Filippo Molinari
Completely Automated Multiresolution Edge Snapper - A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database. IEEE Trans. Image Process. 21(3): 1211-1222 (2012) - [j8]Efthyvoulos C. Kyriacou
Prediction of High-Risk Asymptomatic Carotid Plaques Based on Ultrasonic Image Features. IEEE Trans. Inf. Technol. Biomed. 16(5): 966-973 (2012) - [c18]Hamed Nasrabadi, Marios S. Pattichis
Measurement of motion of carotid bifurcation plaques. BIBE 2012: 506-511 - [c17]Christos P. Loizou
Segmentation of atherosclerotic carotid plaque in ultrasound video. EMBC 2012: 53-56 - [c16]U. Rajendra Acharya
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems. EMBC 2012: 448-451 - [c15]Filippo Molinari
Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation. EMBC 2012: 484-487 - [c14]Filippo Molinari
Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population. EMBC 2012: 2668-2671 - [c13]U. Rajendra Acharya
Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems. EMBC 2012: 3199-3202 - 2011
- [j7]Filippo Molinari
CAUDLES-EF: Carotid Automated Ultrasound Double Line Extraction System Using Edge Flow. J. Digit. Imaging 24(6): 1059-1077 (2011) - [c12]Filippo Molinari
CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images. EMBC 2011: 5149-5152 - [c11]Efthyvoulos Kyriacou
First and second order statistical texture features in carotid plaque image analysis: Preliminary results from ongoing research. EMBC 2011: 6655-6658 - [c10]Filippo Molinari
Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database. Medical Imaging: Image Processing 2011: 79623T - 2010
- [j6]Efthyvoulos C. Kyriacou
A review of noninvasive ultrasound image processing methods in the analysis of carotid plaque morphology for the assessment of stroke risk. IEEE Trans. Inf. Technol. Biomed. 14(4): 1027-1038 (2010) - [c9]Antonis Lambrou, Harris Papadopoulos
Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction. AIAI 2010: 146-153
2000 – 2009
- 2009
- [j5]Edward Kyriacou, Marios S. Pattichis
Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images. Appl. Intell. 30(1): 3-23 (2009) - [c8]Christos P. Loizou, Víctor Murray, Marios S. Pattichis, Christodoulos S. Christodoulou, Marios Pantziaris, Andrew Nicolaides, Constantinos S. Pattichis:
AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery. ICANN (2) 2009: 885-894 - 2008
- [c7]Philipos C. Loizou, Marios Pantziaris, Andrew Nicolaides, Andreas Spanias, Marios S. Pattichis, Constantinos S. Pattichis
Ultrasound imaging media layer texture analysis of the carotid artery. BIBE 2008: 1-6 - 2007
- [j4]Christos P. Loizou
Snakes based segmentation of the common carotid artery intima media. Medical Biol. Eng. Comput. 45(1): 35-49 (2007) - [j3]Philipos C. Loizou, Constantinos S. Pattichis
An Integrated System for the Segmentation of Atherosclerotic Carotid Plaque. IEEE Trans. Inf. Technol. Biomed. 11(6): 661-667 (2007) - 2006
- [j2]Christos P. Loizou
Quality evaluation of ultrasound imaging in the carotid artery based on normalization and speckle reduction filtering. Medical Biol. Eng. Comput. 44(5): 414-426 (2006) - [c6]Edward Kyriacou, Constantinos S. Pattichis
Classification of Atherosclerotic Carotid Plaques Using Gray Level Morphological Analysis on Ultrasound images. AIAI 2006: 737-744 - [c5]Oliver M. Jeromin, Marios S. Pattichis
Variogram methods for texture classification of atherosclerotic plaque ultrasound images. Medical Imaging: Image Processing 2006: 61440D - 2003
- [j1]Christina I. Christodoulou, Constantinos S. Pattichis
Texture Based Classification of Atherosclerotic Carotid Plaques. IEEE Trans. Medical Imaging 22(7): 902-912 (2003) - [c4]Christina I. Christodoulou, Edward Kyriacou, Marios S. Pattichis
A Comparative Study of Morphological and Other Texture Features for the Characterization of Atheroslerotic Carotid Plaques. CAIP 2003: 503-511 - 2002
- [c3]Christos P. Loizou
Speckle reduction in ultrasound images of atherosclerotic carotid plaque. DSP 2002: 525-528 - 2001
- [c2]Constantinos S. Pattichis
An integrated system for the assessment of ultrasonic imaging atherosclerotic carotid plaques. ICIP (1) 2001: 325-328
1990 – 1999
- 1999
- [c1]Christina I. Christodoulou, Constantinos S. Pattichis
Multi-feature texture analysis for the classification of carotid plaques. IJCNN 1999: 3591-3596
Coauthor Index
Efthyvoulos C. Kyriacou
aka: Efthyvoulos Kyriacou
aka: Efthyvoulos Kyriacou
Marios Pantziaris
aka: Marios Pantzaris
aka: Marios Pantzaris
Marios S. Pattichis
aka: Marios Pattichis
aka: Marios Pattichis
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last updated on 2024-11-07 21:34 CET by the dblp team
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