Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals

(2021) Turker Tuncer et al.   INFORMATION SCIENCES

Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification

(2021) Farah Saeed et al.   APPLIED SOFT COMPUTING

Position paper concerning the competence, performance and environment required for the practice of ablation in children and in congenital heart disease

(2020) Philippe Maury et al.   Archives of Cardiovascular Diseases

A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure

(2020) C. El-Hajj et al.   Biomedical Signal Processing and Control

Cardiovascular imaging modalities in the diagnosis and management of rheumatic heart disease

(2020) Olukayode O. Aremu et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Non-alcoholic fatty liver disease (NAFLD) and the cardiovascular disease (CVD) risk categories in primary care: is there an association?

(2020) Hayatul Najaa Miptah et al.   BMC Family Practice

Photonic Crystal-Enhanced Fluorescence Imaging Immunoassay for Cardiovascular Disease Biomarker Screening with Machine Learning Analysis

(2019) Kenneth J. Squire et al.   SENSORS AND ACTUATORS B-CHEMICAL

A computational workflow to analyse material properties and solar radiation of existing contexts from attribute information of point cloud data

(2019) Miktha Farid Alkadri et al.   BUILDING AND ENVIRONMENT

MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach

(2019) Samaneh Kazemifar et al.   RADIOTHERAPY AND ONCOLOGY

Sandpiper optimization algorithm: a novel approach for solving real-life engineering problems

(2019) Amandeep Kaur et al.   APPLIED INTELLIGENCE

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

(2018) Roohallah Alizadehsani et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Microfluidic platforms for modeling biological barriers in the circulatory system

(2018) Fang Yu et al.   DRUG DISCOVERY TODAY

A rapid scoring tool to assess mutation probability in patients with inherited cardiac disorders

(2018) Dominica Zentner et al.   European Journal of Medical Genetics

DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation

(2018) Ruirui Li et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Complement activation in acute myocardial infarction: An early marker of inflammation and tissue injury?

(2018) Lorena Bavia et al.   IMMUNOLOGY LETTERS

Predicting blood β-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network

(2018) R.S. Pralle et al.   JOURNAL OF DAIRY SCIENCE

The economic burden of cardiovascular disease and hypertension in low- and middle-income countries: a systematic review

(2018) Adrian Gheorghe et al.   BMC PUBLIC HEALTH

Impact of Plaque Composition on Risk of Coronary Artery Diseases in Patients with Carotid Artery Stenosis

(2018) Saori Hamada et al.   Journal of Stroke & Cerebrovascular Diseases

Review of Cardiovascular Imaging in the Journal of Nuclear Cardiology in 2016. Part 1 of 2: Positron Emission Tomography, Computed Tomography and Magnetic Resonance

(2017) Wael AlJaroudi et al.   JOURNAL OF NUCLEAR CARDIOLOGY

A meta-analysis of non-invasive brain stimulation and autonomic functioning: Implications for brain-heart pathways to cardiovascular disease

(2017) Elena Makovac et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification

(2017) Yaqi Li et al.   APPLIED SOFT COMPUTING