Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

(2019) Paweł Pławiak et al.   NEURAL COMPUTING & APPLICATIONS

Automated interpretable detection of myocardial infarction fusing energy entropy and morphological features

(2019) Chuang Han et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing

(2019) Eftychios Protopapadakis et al.   APPLIED INTELLIGENCE

Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals

(2019) Shu Lih Oh et al.   Applied Sciences-Basel

Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features

(2019) Jose Kunnel Paul et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features

(2019) Manish Sharma et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Demonstrating the Value of Outcomes in Echocardiography: Imaging-Based Registries in Improving Patient Care

(2019) Jordan B. Strom et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals

(2019) Turker Tuncer et al.   KNOWLEDGE-BASED SYSTEMS

Hypertension Diagnosis Index for Discrimination of High-Risk Hypertension ECG Signals Using Optimal Orthogonal Wavelet Filter Bank

(2019) Jaypal Singh Rajput et al.   International Journal of Environmental Research and Public Health

Application of multi-feature fusion and random forests to the automated detection of myocardial infarction

(2019) Zhizhong Wang et al.   Cognitive Systems Research

A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication

(2019) Mohamed Hammad et al.   Future Generation Computer Systems-The International Journal of eScience

Detection of myocardial infarction in 12 lead ECG using support vector machine

(2018) Ashok Kumar Dohare et al.   APPLIED SOFT COMPUTING

Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram

(2018) Wenhan Liu et al.   Biomedical Signal Processing and Control

Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system

(2018) Paweł Pławiak   EXPERT SYSTEMS WITH APPLICATIONS

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

(2018) U Raghavendra et al.   INFORMATION SCIENCES

Book Review

(2018) Paul Kligfield   JOURNAL OF ELECTROCARDIOLOGY

Detection of abnormal heart conditions based on characteristics of ECG signals

(2018) Mohamed Hammad et al.   MEASUREMENT

Very deep feature extraction and fusion for arrhythmias detection

(2018) Moussa Amrani et al.   NEURAL COMPUTING & APPLICATIONS

Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals

(2018) Paweł Pławiak   Swarm and Evolutionary Computation

Single image super-resolution using a polymorphic parallel CNN

(2018) Kai Zeng et al.   APPLIED INTELLIGENCE

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

(2018) Özal Yıldırım et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank

(2018) Manish Sharma et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network

(2018) Mohamed Hammad et al.   COMPUTERS & SECURITY

Automated Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework

(2017) Mohit Kumar et al.   Entropy

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

(2017) U. Rajendra Acharya et al.   INFORMATION SCIENCES

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Fingerprint Liveness Detection Using Convolutional Neural Networks

(2016) Rodrigo Frassetto Nogueira et al.   IEEE Transactions on Information Forensics and Security

Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads

(2016) U. Rajendra Acharya et al.   KNOWLEDGE-BASED SYSTEMS

A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection

(2015) Bin Liu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction

(2015) L. N. Sharma et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models

(2012) Pei-Chann Chang et al.   APPLIED SOFT COMPUTING

Third Universal Definition of Myocardial Infarction

(2012) Kristian Thygesen et al.   CIRCULATION

ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection

(2012) Li Sun et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier

(2010) Muhammad Arif et al.   JOURNAL OF MEDICAL SYSTEMS

Analysis of Myocardial Infarction Using Discrete Wavelet Transform

(2009) E. S. Jayachandran et al.   JOURNAL OF MEDICAL SYSTEMS