Laura E. Mantella

发表

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study

Jasjit S. Suri, Ankush D. Jamthikar, Luca Saba, 2021, Comput. Biol. Medicine.

Long non-coding RNA fingerprint regulated by cyclic mechanical stress in vascular smooth muscle cells: Implications for hypertension and aortic aneurysms

Laura E. Mantella, L. Mantella, 2016 .

GeneAI 3.0: Powerful, Novel, Generalized Hybrid and Ensemble Deep Learning Frameworks for miRNA Classi cation of species-speci c Stationary Patterns from Nucleotides

Laura E. Mantella, M. Kalra, E. Isenovic, 2023 .

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization

Laura E. Mantella, J. Suri, L. Saba, 2022, Comput. Biol. Medicine.

Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study

Laura E. Mantella, J. Suri, L. Saba, 2020, The International Journal of Cardiovascular Imaging.

Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound

Laura E. Mantella, J. Suri, L. Saba, 2022, IEEE Transactions on Instrumentation and Measurement.

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review

Laura E. Mantella, L. Saba, G. Kitas, 2023, Rheumatology International.

Vascular imaging of atherosclerosis: Strengths and weaknesses.

Laura E. Mantella, A. Johri, Kiera Liblik, 2021, Atherosclerosis.

Combined Femoral and Carotid Plaque Burden Identifies Obstructive Coronary Artery Disease in Women.

Laura E. Mantella, J. Abunassar, A. Johri, 2019, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

The Essential Autophagy Gene ATG7 Modulates Organ Fibrosis via Regulation of Endothelial-to-Mesenchymal Transition*

Laura E. Mantella, W. Kuebler, M. Al-Omran, 2014, The Journal of Biological Chemistry.

The use of ultrasound to assess aortic biomechanics: Implications for aneurysm and dissection

Laura E. Mantella, D. Rival, G. Bisleri, 2020, Echocardiography.

Investigation of TGFβ1-Induced Long Noncoding RNAs in Endothelial Cells

Laura E. Mantella, M. Al-Omran, S. Verma, 2016, International journal of vascular medicine.

Femoral plaque burden by ultrasound is a better indicator of significant coronary artery disease over ankle brachial index

Laura E. Mantella, J. Abunassar, A. Johri, 2021, The International Journal of Cardiovascular Imaging.

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool.

Laura E. Mantella, E. Isenovic, K. Paraskevas, 2023, Frontiers in bioscience.

Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort

Jasjit S. Suri, Luca Saba, Ankush D. Jamthikar, 2020, Journal of Medical Systems.

Carotid intraplaque neovascularization predicts coronary artery disease and cardiovascular events.

Laura E. Mantella, S. Feinstein, J. Abunassar, 2019, European heart journal cardiovascular Imaging.

Variability in vascular smooth muscle cell stretch-induced responses in 2D culture

Laura E. Mantella, S. Verma, A. Quan, 2015, Vascular cell.

Depressive symptoms and inflammatory markers following acute myocardial infarction: A scoping review

Laura E. Mantella, A. Johri, Kiera Liblik, 2022, Health Sciences Review.

Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

Laura E. Mantella, E. Isenovic, R. Cau, 2024, The international journal of cardiovascular imaging.

Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization

Laura E. Mantella, J. Suri, L. Saba, 2021, The International Journal of Cardiovascular Imaging.

Fingerprint of long non-coding RNA regulated by cyclic mechanical stretch in human aortic smooth muscle cells: implications for hypertension

Laura E. Mantella, M. Al-Omran, Crystal Kantores, 2017, Molecular and Cellular Biochemistry.

GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides.

Laura E. Mantella, M. Kalra, E. Isenovic, 2024, Scientific Reports.

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

Laura E. Mantella, E. Isenovic, D. Mikhailidis, 2024, EClinicalMedicine.

Adiponectin limits monocytic microparticle-induced endothelial activation by modulation of the AMPK, Akt and NFκB signaling pathways.

Laura E. Mantella, M. Al-Omran, S. Verma, 2016, Atherosclerosis.