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Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes

Diagnostics (Basel), 2024-01, Vol.14 (2), p.156

2024

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Artificial Intelligence Applications in Cardiovascular Magnetic Resonance Imaging: Are We on the Path to Avoiding the Administration of Contrast Media?

Diagnostics (Basel), 2023-06, Vol.13 (12), p.2061

2023

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Atrial and Ventricular Involvement in Acute Myocarditis Patients with Preserved Ejection Fraction: A Single-Center Cardiovascular Magnetic Resonance Study

Journal of cardiovascular development and disease, 2024-06, Vol.11 (7), p.191

2024

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Atrial and Ventricular Strain Imaging Using CMR in the Prediction of Ventricular Arrhythmia in Patients with Myocarditis

Journal of clinical medicine, 2024-01, Vol.13 (3), p.662

2024

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Experiment and CFD simulation of exhaust tube in highvoltage circuit breaker

MATEC Web of Conferences, 2018, Vol.169, p.1001

2018

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Prognostic role of cardiovascular magnetic resonance in Takotsubo syndrome: A systematic review

European journal of radiology, 2024-08, Vol.177, p.111576, Article 111576

2024

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Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping

International journal of cardiology, 2023-02, Vol.373, p.124-133

2023

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Effect of late gadolinium enhancement on left atrial impairment in myocarditis patients

European radiology, 2024-03, Vol.34 (3), p.1846-1853

2024

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Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach

European radiology, 2024-09, Vol.34 (9), p.5691-5704

2024

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Atrial and ventricular strain using cardiovascular magnetic resonance in the prediction of outcomes of pericarditis patients: a pilot study

European radiology, 2024-09, Vol.34 (9), p.5724-5735

2024

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Sex-based differences in late gadolinium enhancement among patients with acute myocarditis

European journal of radiology, 2023-09, Vol.166, p.110980-110980, Article 110980

2023

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Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque

European journal of radiology, 2024-07, Vol.176, p.111497, Article 111497

2024

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Correction: Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography

European radiology, 2024-06

2024

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Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography

European radiology, 2024-06, Vol.34 (6), p.3612-3623

2024

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Applications of artificial intelligence-based models in vulnerable carotid plaque

Vessel Plus, 2023-09

2023

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Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography

Circulation. Cardiovascular imaging, 2024-06, Vol.17 (6), p.e016274

2024

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Crypto-Trading. Rechargeable Token-Based Smart Energy Market Enabled by Blockchain and IoT Technology

Euro-Par 2019: Parallel Processing Workshops, p.166-178

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A Hybrid Controller for DOS-Resilient String-Stable Vehicle Platoons

IEEE transactions on intelligent transportation systems, 2021-03, Vol.22 (3), p.1697-1707

2021

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Optical properties of nanostructured antiviral and anticancer drugs

RSC advances, 2023-07, Vol.13 (32), p.22481-22492

2023

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Enhancing workplace safety: A flexible approach for personal protective equipment monitoring

Expert systems with applications, 2024-03, Vol.238, p.122285, Article 122285

2024

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Robust Output Feedback Control Design in the Presence of Sporadic Measurements

IEEE transactions on automatic control, 2023-06, Vol.68 (6), p.3768-3775

2023

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Cerebellar continuous theta burst stimulation reduces levodopa-induced dyskinesias and decreases serum BDNF levels

Neuroscience letters, 2020-01, Vol.716, p.134653, Article 134653

2020

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On DoS Resiliency Analysis of Networked Control Systems: Trade-Off Between Jamming Actions and Network Delays

IEEE control systems letters, 2019-07, Vol.3 (3), p.559-564

2019

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A Decrease of Reelin Expression as a Putative Vulnerability Factor in Schizophrenia

Proceedings of the National Academy of Sciences - PNAS, 1998-12, Vol.95 (26), p.15718-15723

1998

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Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes

Artificial Intelligence Applications in Cardiovascular Magnetic Resonance Imaging: Are We on the Path to Avoiding the Administration of Contrast Media?

Atrial and Ventricular Involvement in Acute Myocarditis Patients with Preserved Ejection Fraction: A Single-Center Cardiovascular Magnetic Resonance Study

Atrial and Ventricular Strain Imaging Using CMR in the Prediction of Ventricular Arrhythmia in Patients with Myocarditis

Experiment and CFD simulation of exhaust tube in highvoltage circuit breaker

Prognostic role of cardiovascular magnetic resonance in Takotsubo syndrome: A systematic review

Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping

Effect of late gadolinium enhancement on left atrial impairment in myocarditis patients

Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach

Atrial and ventricular strain using cardiovascular magnetic resonance in the prediction of outcomes of pericarditis patients: a pilot study

Sex-based differences in late gadolinium enhancement among patients with acute myocarditis

Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque

Correction: Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography

Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography

Applications of artificial intelligence-based models in vulnerable carotid plaque

Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography

Exploring the EVolution in PrognOstic CapabiLity of MUltisequence Cardiac MagneTIc ResOnance in PatieNts Affected by Takotsubo Cardiomyopathy Based on Machine Learning Analysis: Design and Rationale of the EVOLUTION Study

Crypto-Trading. Rechargeable Token-Based Smart Energy Market Enabled by Blockchain and IoT Technology

A Hybrid Controller for DOS-Resilient String-Stable Vehicle Platoons

Optical properties of nanostructured antiviral and anticancer drugs

Enhancing workplace safety: A flexible approach for personal protective equipment monitoring

Robust Output Feedback Control Design in the Presence of Sporadic Measurements

Cerebellar continuous theta burst stimulation reduces levodopa-induced dyskinesias and decreases serum BDNF levels

On DoS Resiliency Analysis of Networked Control Systems: Trade-Off Between Jamming Actions and Network Delays

A Decrease of Reelin Expression as a Putative Vulnerability Factor in Schizophrenia

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