Luca Saba
Orcid: 0000-0003-3610-8526
According to our database1,
Luca Saba
authored at least 79 papers
between 2011 and 2024.
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Bibliography
2024
Multim. Tools Appl., February, 2024
2023
Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework.
Neural Comput. Appl., June, 2023
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation.
Comput. Biol. Medicine, February, 2023
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias.
IEEE Access, 2023
2022
Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound.
IEEE Trans. Instrum. Meas., 2022
J. Imaging, 2022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.
Comput. Biol. Medicine, 2022
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework.
Comput. Biol. Medicine, 2022
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization.
Comput. Biol. Medicine, 2022
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study.
Comput. Biol. Medicine, 2022
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 assessment.
Comput. Biol. Medicine, 2022
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.
Comput. Biol. Medicine, 2022
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, 2022
2021
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective.
IEEE J. Biomed. Health Informatics, 2021
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application.
IEEE Trans. Instrum. Meas., 2021
Medical Image Anal., 2021
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., 2021
A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort.
J. Medical Syst., 2021
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, 2021
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.
Comput. Biol. Medicine, 2021
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review.
Comput. Biol. Medicine, 2021
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound.
Comput. Biol. Medicine, 2021
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.
Int. J. Comput. Assist. Radiol. Surg., 2021
2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J. Biomed. Health Informatics, 2020
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort.
J. Medical Syst., 2020
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm.
Comput. Biol. Medicine, 2020
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.
Comput. Biol. Medicine, 2020
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0.
Comput. Biol. Medicine, 2020
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound.
Comput. Biol. Medicine, 2020
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, 2020
Effects of White Matter Hyperintensities on Brain Connectivity and Hippocampal Volume in Healthy Subjects According to Their Localization.
Brain Connect., 2020
2019
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0.
Medical Biol. Eng. Comput., 2019
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.
Medical Biol. Eng. Comput., 2019
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, 2019
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.
Comput. Biol. Medicine, 2019
2018
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
J. Medical Syst., 2018
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.
Comput. Methods Programs Biomed., 2018
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.
Comput. Biol. Medicine, 2018
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.
Comput. Biol. Medicine, 2018
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.
Comput. Biol. Medicine, 2018
2017
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.
Medical Biol. Eng. Comput., 2017
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.
J. Medical Syst., 2017
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
J. Medical Syst., 2017
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment.
Comput. Methods Programs Biomed., 2017
Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework.
Comput. Biol. Medicine, 2017
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, 2017
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos.
Comput. Biol. Medicine, 2017
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm.
Comput. Biol. Medicine, 2017
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.
Comput. Biol. Medicine, 2017
2016
Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients.
J. Medical Syst., 2016
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.
J. Medical Syst., 2016
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.
J. Medical Syst., 2016
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos.
J. Medical Syst., 2016
Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm.
Comput. Methods Programs Biomed., 2016
Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach.
Comput. Methods Programs Biomed., 2016
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens.
Comput. Methods Programs Biomed., 2016
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., 2016
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, 2016
Speckle reduction in medical ultrasound images using an unbiased non-local means method.
Biomed. Signal Process. Control., 2016
Qualitative analysis of small (≤2 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI.
BMC Medical Imaging, 2016
2015
Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm.
J. Medical Syst., 2015
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework.
Int. J. Imaging Syst. Technol., 2015
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound.
Comput. Methods Programs Biomed., 2015
2013
Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm.
J. Digit. Imaging, 2013
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, 2013
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
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., 2012
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., 2012
An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans.
IEEE Trans. Instrum. Meas., 2012
J. Medical Syst., 2012
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., 2012
Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
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.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011