1,442 results on '"Nicolaides, Andrew"'
Search Results
102. CAUDLES-EF: Carotid Automated Ultrasound Double Line Extraction System Using Edge Flow
103. Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study
104. Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction
105. Ultrasonic Characterization of Carotid Plaques
106. AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery
107. Association between alcohol and cardiovascular disease : Mendelian randomisation analysis based on individual participant data
108. Ultrasonic Characterization of Carotid Plaques
109. A Review on Atherosclerotic Biology, Wall Stiffness, Physics of Elasticity, and Its Ultrasound-Based Measurement
110. Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine
111. Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos
112. Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
113. Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report
114. Benefits and drawbacks of statins and non-statin lipid lowering agents in carotid artery disease
115. Secretory Phospholipase A2-IIA and Cardiovascular Disease: A Mendelian Randomization Study
116. Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers
117. The size of juxtaluminal hypoechoic area in ultrasound images of asymptomatic carotid plaques predicts the occurrence of stroke
118. Techniques of screening, diagnosis and assessment of occult carotid and cerebrovascular disease
119. The contribution of arterial ultrasound scanning to atherosclerotic cardiovascular risk stratification: Short review.
120. How Do We Select the Appropriate Tests of Venous Function?
121. Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods
122. The Effect of Head Rotation on the Geometry and Hemodynamics of Healthy Vertebral Arteries
123. Constrained snake vs. conventional snake for carotid ultrasound automated IMT measurements on multi-center data sets
124. Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review
125. COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
126. Pharmacological treatment for chronic venous disease: an umbrella review of systematic reviews
127. Atherosclerotic Disease Risk Stratification Using Ultrasonographic Measurements of Plaque
128. COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans
129. Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review
130. 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
131. Extent of vascular plaque predicts future cardiovascular events in patients with systemic lupus erythematosus
132. Comparison of Recent Practice Guidelines for the Management of Patients With Asymptomatic Carotid Stenosis
133. Optimal management of asymptomatic carotid stenosis in 2021: the jury is still out. An international, multispecialty, expert review and position statement
134. Optimal Management of Asymptomatic Carotid Stenosis in 2021: The Jury is Still Out. An International, Multispecialty, Expert Review and Position Statement
135. A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
136. The burden of carotid-related strokes
137. Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study
138. Optimal Management of Asymptomatic Carotid Stenosis: Counterbalancing the Benefits with the Potential Risks
139. Combined intermittent pneumatic leg compression and pharmacological prophylaxis for prevention of venous thromboembolism
140. Arterial Ultrasound Testing to Predict Atherosclerotic Cardiovascular Events
141. Ankle–Brachial Index and Its Link to Automated Carotid Ultrasound Measurement of Intima–Media Thickness Variability in 500 Japanese Coronary Artery Disease Patients
142. Carotid inter-adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis
143. Extent of vascular plaque predicts future cardiovascular events in patients with systemic lupus erythematosus.
144. Sex Differences in Body Fat Distribution and Carotid Intima Media Thickness: Cross Sectional Survey Using Data from the British Regional Heart Study
145. COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts
146. Unseen Artificial Intelligence—Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study
147. Management of patients with asymptomatic carotid stenosis may need to be individualized: a multidisciplinary call for action. Republication of J Stroke 2021;23:202-212
148. Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification
149. Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography
150. Model Agnostic Explainability Techniques in Ultrasound Image Analysis
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