1,443 results on '"Nicolaides, Andrew"'
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52. List of contributors
53. Geometric total plaque area is an equally powerful phenotype compared with carotid intima–media thickness for stroke risk assessment: A deep learning approach
54. Homocysteine levels and MTHFR genotype at baseline and 10-year risk of ASCVD in a cyprus cohort
55. Ultrasonic Characterization of Carotid Plaques and Its Clinical Implications
56. Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort
57. State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound
58. Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients
59. Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort
60. Chronic venous disease: What if everything started with early care? A discussion with experts.
61. Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0
62. Burden and Suffering in Chronic Venous Disease
63. Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk
64. Michel Perrin Memorial
65. Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials
66. Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment
67. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study
68. Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm
69. Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort
70. Atherosclerotic Carotid Plaque Texture Variability in Ultrasound Video
71. Cardiovascular disease/stroke risk stratification in deep learning framework: a review
72. Ultrasonic Plaque Characterization: Results from the Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) Study
73. Image Analysis of Carotid Plaques and Risk Stratification
74. Effect of Statin Therapy on Carotid Plaque Morphology
75. Grading Internal Carotid Artery Stenosis
76. Screening for Cardiovascular Risk Using Ultrasound: A Practical Approach
77. Novel Biomarkers and Subclinical Atherosclerosis
78. Carotid Plaque Texture Analysis Using 3-Dimensional Volume Ultrasonic Imaging
79. Image Normalization, Plaque Typing, and Texture Feature Extraction
80. Vascular Ultrasound Imaging with Contrast Agents: Carotid Plaque Neovascularization and the Hyperplastic Vasa Vasorum Network
81. Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review
82. A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool
83. Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach
84. 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
85. 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
86. A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens
87. Symptomatic Versus Asymptomatique Plaque Classification in Carotid Ultrasound
88. Automated Carotid IMT Measurement and Its Validation in Low Contrast Ultrasound Database of 885 Patient Indian Population Epidemiological Study: Results of AtheroEdge® Software
89. Hypothesis Validation of Far Wall Brightness in Carotid Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level Set Segmentation and Registration
90. Carotid Artery Recognition System(CARS): A Comparison of Three Automated Paradigms for Ultrasound Images
91. A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography
92. Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning–Based Tissue Characterization
93. Screening for asymptomatic carotid stenosis in patients with non-valvular atrial fibrillation
94. Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review
95. Performance of SCORE2 and SCORE2-OP risk algorithms in a Cypriot cohort
96. Clarifying the rationale supporting selective screening for asymptomatic carotid artery stenosis
97. Improved Correlation between Carotid and Coronary Atherosclerosis SYNTAX Score Using Automated Ultrasound Carotid Bulb Plaque IMT Measurement
98. A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound
99. Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach
100. Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm
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