Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection

[1]  A. Crozier,et al.  The ellagitannin metabolite urolithin C is a glucose‐dependent regulator of insulin secretion through activation of L‐type calcium channels , 2019, British journal of pharmacology.

[2]  Ke-He Yu,et al.  Urolithin A targets the PI3K/Akt/NF-κB pathways and prevents IL-1β-induced inflammatory response in human osteoarthritis: in vitro and in vivo studies. , 2019, Food & function.

[3]  P. Kubatka,et al.  Markers of Atherosclerosis: Part 2 - Genetic and Imaging Markers. , 2019, Heart, lung & circulation.

[4]  P. Kubatka,et al.  Markers of Atherosclerosis: Part 1 - Serological Markers. , 2019, Heart, lung & circulation.

[5]  Fares Alahdab,et al.  Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 , 2019, The Lancet Neurology.

[6]  Ming Liu,et al.  Stroke in China: advances and challenges in epidemiology, prevention, and management , 2019, The Lancet Neurology.

[7]  Huageng Liang,et al.  Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis , 2018, Medical physics.

[8]  A. Atanasov,et al.  Vasculoprotective Effects of Pomegranate (Punica granatum L.) , 2018, Front. Pharmacol..

[9]  Weifu Chen,et al.  A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging , 2018, Comput. Biol. Medicine.

[10]  Eranga Ukwatta,et al.  Sensitive three‐dimensional ultrasound assessment of carotid atherosclerosis by weighted average of local vessel wall and plaque thickness change , 2017, Medical physics.

[11]  Jinhua Yu,et al.  Reproducibility of quantitative high‐throughput BI‐RADS features extracted from ultrasound images of breast cancer , 2017, Medical physics.

[12]  J. Spence,et al.  Determinants of carotid plaque burden. , 2016, Atherosclerosis.

[13]  S. Daskalopoulou,et al.  Plaque echodensity and textural features are associated with histologic carotid plaque instability. , 2016, Journal of vascular surgery.

[14]  T. Naqvi,et al.  Recent advances in pathogenesis, assessment, and treatment of atherosclerosis , 2016, F1000Research.

[15]  Terry K Koo,et al.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. , 2016, Journal Chiropractic Medicine.

[16]  Helen Evelyn Malone,et al.  Fundamentals of estimating sample size. , 2016, Nurse researcher.

[17]  Feiping Nie,et al.  Effective Discriminative Feature Selection With Nontrivial Solution , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Wiro J Niessen,et al.  Three-Dimensional Carotid Ultrasound Plaque Texture Predicts Vascular Events , 2014, Stroke.

[19]  Aaron Fenster,et al.  Carotid Artery Ulceration as a Predictor of Cardiovascular Events , 2022 .

[20]  S. Connolly,et al.  Embolic strokes of undetermined source: the case for a new clinical construct , 2014, The Lancet Neurology.

[21]  A. Fenster,et al.  Progression of Carotid Plaque Volume Predicts Cardiovascular Events , 2013, Stroke.

[22]  U. Rajendra Acharya,et al.  Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation , 2013, IEEE Transactions on Instrumentation and Measurement.

[23]  J. Suri,et al.  Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment , 2013, Medical & Biological Engineering & Computing.

[24]  Marleen de Bruijne,et al.  Automated segmentation of atherosclerotic histology based on pattern classification , 2013, Journal of pathology informatics.

[25]  Woo Kyung Moon,et al.  Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images , 2012, Comput. Medical Imaging Graph..

[26]  Marios S. Pattichis,et al.  Prediction of High-Risk Asymptomatic Carotid Plaques Based on Ultrasonic Image Features , 2012, IEEE Transactions on Information Technology in Biomedicine.

[27]  Giel Nijpels,et al.  Common carotid intima-media thickness measurements in cardiovascular risk prediction: a meta-analysis. , 2012, JAMA.

[28]  J. Suri,et al.  Atherosclerotic risk stratification strategy for carotid arteries using texture-based features. , 2012, Ultrasound in medicine & biology.

[29]  Liping Liu,et al.  Stroke and stroke care in China: huge burden, significant workload, and a national priority. , 2011, Stroke.

[30]  Erling Falk,et al.  Why not screen for subclinical atherosclerosis? , 2011, The Lancet.

[31]  A. Fenster,et al.  Texture analysis of carotid artery atherosclerosis from three-dimensional ultrasound images. , 2010, Medical physics.

[32]  Lauge Sørensen,et al.  Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns , 2010, IEEE Transactions on Medical Imaging.

[33]  R. Virmani,et al.  Correlation between carotid intimal/medial thickness and atherosclerosis: a point of view from pathology. , 2010, Arteriosclerosis, thrombosis, and vascular biology.

[34]  Aaron Fenster,et al.  Three-dimensional ultrasound quantification of intensive statin treatment of carotid atherosclerosis. , 2009, Ultrasound in medicine & biology.

[35]  S. Feinstein,et al.  Effects of consumption of pomegranate juice on carotid intima-media thickness in men and women at moderate risk for coronary heart disease. , 2009, The American journal of cardiology.

[36]  G. Parati,et al.  Baseline Values but Not Treatment-Induced Changes in Carotid Intima-Media Thickness Predict Incident Cardiovascular Events in Treated Hypertensive Patients: Findings in the European Lacidipine Study on Atherosclerosis (ELSA) , 2009, Circulation.

[37]  Yan D. Zhao,et al.  Sample Size Determinations for the Wilcoxon–Mann–Whitney Test: A Comprehensive Review , 2009 .

[38]  John David Spence,et al.  Development of 3D ultrasound techniques for carotid artery disease assessment and monitoring , 2008, International Journal of Computer Assisted Radiology and Surgery.

[39]  O. Joakimsen,et al.  Carotid Atherosclerosis Is a Stronger Predictor of Myocardial Infarction in Women Than in Men: A 6-Year Follow-Up Study of 6226 Persons: The Tromsø Study , 2007, Stroke.

[40]  Ulrike von Luxburg,et al.  A tutorial on spectral clustering , 2007, Stat. Comput..

[41]  A. Fenster,et al.  Validation of 3D ultrasound vessel wall volume: an imaging phenotype of carotid atherosclerosis. , 2007, Ultrasound in medicine & biology.

[42]  Ming Liu,et al.  Stroke in China: epidemiology, prevention, and management strategies , 2007, The Lancet Neurology.

[43]  J. Spence,et al.  Intensive management of risk factors for accelerated atherosclerosis: the role of multiple interventions , 2007, Current neurology and neuroscience reports.

[44]  Aaron Fenster,et al.  3D Ultrasound Measurement of Change in Carotid Plaque Volume: A Tool for Rapid Evaluation of New Therapies , 2005, Stroke.

[45]  Annette M. Molinaro,et al.  Prediction error estimation: a comparison of resampling methods , 2005, Bioinform..

[46]  Aaron Fenster,et al.  Quantification of carotid plaque volume measurements using 3D ultrasound imaging. , 2005, Ultrasound in medicine & biology.

[47]  Mark Fisher,et al.  Carotid Plaque Pathology: Thrombosis, Ulceration, and Stroke Pathogenesis , 2005, Stroke.

[48]  J. Spence.  Ultrasound measurement of atherosclerosis. , 2004, Stroke.

[49]  Diederick E. Grobbee,et al.  Measuring Effects on Intima Media Thickness: An Evaluation of Rosuvastatin in Subclinical Atherosclerosis—The Rationale and Methodology of the METEOR Study , 2004, Cardiovascular Drugs and Therapy.

[50]  Aaron Fenster,et al.  Measurement of Carotid Plaque Volume by 3-Dimensional Ultrasound , 2004, Stroke.

[51]  Tao Jiang,et al.  Efficient and robust feature extraction by maximum margin criterion , 2003, IEEE Transactions on Neural Networks.

[52]  Diederick E Grobbee,et al.  Carotid Intima-Media Thickness Measurements in Intervention Studies: Design Options, Progression Rates, and Sample Size Considerations: A Point of View , 2003, Stroke.

[53]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[54]  Constantinos S. Pattichis,et al.  Texture-based classification of atherosclerotic carotid plaques , 2003, IEEE Transactions on Medical Imaging.

[55]  J. David Spence,et al.  Carotid Plaque Area: A Tool for Targeting and Evaluating Vascular Preventive Therapy , 2002, Stroke.

[56]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[57]  M. Aviram,et al.  Flavonoids protect LDL from oxidation and attenuate atherosclerosis , 2001, Current opinion in lipidology.

[58]  Mikhail Belkin,et al.  Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.

[59]  M. Aviram,et al.  Review of human studies on oxidative damage and antioxidant protection related to cardiovascular diseases. , 2000, Free radical research.

[60]  L. Arroyo,et al.  Mechanisms of plaque rupture: mechanical and biologic interactions. , 1999, Cardiovascular research.

[61]  J. Concato,et al.  A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.

[62]  Joachim Weikert,et al.  Multiscale Texture Enhancement , 1995, CAIP.

[63]  J P Woodcock,et al.  Carotid artery duplex scanning: does plaque echogenicity correlate with patient symptoms? , 1995, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[64]  A. Nicolaides,et al.  Characterization of symptomatic and asymptomatic carotid plaques using high‐resolution real‐time ultrasonography , 1993, The British journal of surgery.

[65]  A. Nicolaides,et al.  Ultrasonic classification of carotid plaques causing less than 60% stenosis according to ultrasound morphology and events. , 1993, The Journal of cardiovascular surgery.

[66]  F. Speziale,et al.  Minor asymptomatic carotid stenosis contralateral to carotid endarterectomy (CEA): our experience. , 1991, European journal of vascular surgery.

[67]  R. Lusby,et al.  The role of plaque morphology and diameter reduction in the development of new symptoms in asymptomatic carotid arteries. , 1989, Journal of vascular surgery.

[68]  P. McCollum,et al.  Duplex ultrasonography and selection of patients for carotid endarterectomy: plaque morphology or luminal narrowing? , 1988, Journal of vascular surgery.

[69]  W. J. Hunter,et al.  Ultrasonographic features of carotid plaque and the risk of subsequent neurologic deficits. , 1988, Surgery.

[70]  M. Mcclurken,et al.  Natural history of asymptomatic carotid plaque. Five year follow-up study. , 1987, American journal of surgery.

[71]  L Landini,et al.  Angle dependence of ultrasonic backscatter in arterial tissues: a study in vitro. , 1985, Circulation.

[72]  Azriel Rosenfeld,et al.  A Comparative Study of Texture Measures for Terrain Classification , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[73]  Mary M. Galloway,et al.  Texture analysis using gray level run lengths , 1974 .

[74]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[75]  R. Hart,et al.  Embolic Stroke. , 2017, Circulation.

[76]  A. Fenster,et al.  Three-dimensional carotid ultrasound segmentation variability dependence on signal difference and boundary orientation. , 2010, Ultrasound in medicine & biology.

[77]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[78]  Aaron Fenster,et al.  Three-dimensional ultrasound imaging , 2001 .

[79]  Alvan R. Feinstein,et al.  Multivariable Analysis: An Introduction , 1996 .

[80]  P. McCollum,et al.  Symptoms, stenosis and carotid plaque morphology. Is plaque morphology relevant? , 1995, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[81]  A. Agresti.  An introduction to categorical data analysis , 1997 .

[82]  Robert King,et al.  Textural features corresponding to textural properties , 1989, IEEE Trans. Syst. Man Cybern..

[83]  R. Lusby,et al.  Is there still a place for carotid endarterectomy? , 1988, Clinical and experimental neurology.