Name
Affiliation
Papers
LUCA SABA
Department of Radiology, A.U.O. Cagliari, Cagliari, Italy
56
Collaborators
Citations 
PageRank 
279
202
24.44
Referers 
Referees 
References 
526
1250
548
Search Limit
1001000
Title
Citations
PageRank
Year
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment00.342022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review00.342022
Generative Adversarial Networks in Brain Imaging: A Narrative Review00.342022
Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound00.342022
Multimodality Imaging in Ischemic Chronic Cardiomyopathy00.342022
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review00.342022
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 2.000.342022
Integrative analysis for COVID-19 patient outcome prediction30.382021
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective10.342021
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.00.342020
Effects Of White Matter Hyperintensities On Brain Connectivity And Hippocampal Volume In Healthy Subjects According To Their Localization00.342020
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning And Focused Carotid Ultrasound In An Asian-Indian Cohort00.342020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels00.342020
Artificial Intelligence Framework For Predictive Cardiovascular And Stroke Risk Assessment Models: A Narrative Review Of Integrated Approaches Using Carotid Ultrasound00.342020
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm.20.352020
Covid-19 Pathways For Brain And Heart Injury In Comorbidity Patients: A Role Of Medical Imaging And Artificial Intelligence-Based Covid Severity Classification: A Review00.342020
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.10.352019
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.00.342019
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study.00.342019
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0.00.342019
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.20.402018
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.00.342018
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.50.422018
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.00.342018
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.10.392018
Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials.30.432017
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.20.372017
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.40.452017
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment.00.342017
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.10.362017
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm.40.392017
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos.30.402017
Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework.20.502017
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.50.462017
Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm.60.452016
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.00.342016
Qualitative analysis of small (≤2 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI.00.342016
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.40.522016
Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients.40.482016
Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach.00.342016
Speckle reduction in medical ultrasound images using an unbiased non-local means method.140.582016
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens.10.352016
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos.90.592016
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.50.482016
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.70.622016
Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm200.532015
Magnetic Resonance Image Denoising Using Nonlocal Maximum Likelihood Paradigm In Dct-Framework40.392015
Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm.100.512013
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India.00.342013
Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers.20.382013
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