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Terkko 2005-2021
Corrigendum to 'Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition'
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Mass Image Synthesis in Mammogram with Contextual Information Based on GANs
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Atrial fibrillation detection based on multi-feature extraction and convolutional neural network for processing ECG signals
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Artificial Intelligence-Based Prediction of Covid-19 Severity on the Results of Protein Profiling
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On the quantitative effects of compression of retinal fundus images on morphometric vascular measurements in VAMPIRE
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Diabetes detection using deep learning techniques with oversampling and feature augmentation
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SR-Net: A sequence offset fusion net and refine net for undersampled multislice MR image reconstruction
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ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
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Cerebrovascular segmentation from TOF-MRA based on multiple-U-net with focal loss function
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Predicting cardiac disease from interactions of simultaneously-acquired hemodynamic and cardiac signals
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A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics
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ECG Language processing (ELP): A new technique to analyze ECG signals
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Effects of the lining material, thickness and coverage on residual stress of class II molar restorations by multilayer technique
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BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells
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Model based dose personalization in clinical trials
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Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm
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A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images
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A hybrid approach based on multiple Eigenvalues selection (MES) for the automated grading of a brain tumor using MRI
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Analysis of Syk/PECAM-1 signaling pathway in low shear stress induced atherosclerosis based on ultrasound imaging
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An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering
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Deep sparse graph functional connectivity analysis in AD patients using fMRI data
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Augmented reality navigation for minimally invasive knee surgery using enhanced arthroscopy
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High Inter-Patient Variability in Sepsis Evolution: A Hidden Markov Model Analysis
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An energy screening and morphology characterization-based hybrid expert scheme for automatic identification of micro-sleep event K-complex
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A novel segmentation method for cervical vertebrae based on PointNet++ and converge segmentation
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Effect of non-Newtonian fluid rheology on an arterial bypass graft: A numerical investigation guided by constructal design
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Particle swarm optimizer for arterial blood flow models
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Artificial neural network approach for predicting blood brain barrier permeability based on a group contribution method
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Comparison of machine learning models to classify Auditory Brainstem Responses recorded from children with Auditory Processing Disorder
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Long-term use of the hybrid artificial pancreas by adjusting carbohydrate ratios and programmed basal rate: A reinforcement learning approach
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Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods
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Adaptive learning and cross training improves R-wave detection in ECG
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Methodology for Estimation of Annual Risk of Rupture for Abdominal Aortic Aneurysm
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Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
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Fully automatic detection and classification of phytoplankton specimens in digital microscopy images
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Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
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Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
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Adaptive finite element eye model for the compensation of biometric influences on acoustic tonometry
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Automatic medical protocol classification using machine learning approaches
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Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone
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Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance
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