Biomedical Signal Processing and Control

Papers
(The H4-Index of Biomedical Signal Processing and Control is 60. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Speech emotion recognition with deep convolutional neural networks292
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study263
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images229
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG196
An IoT-based framework for early identification and monitoring of COVID-19 cases187
Deep learning for motor imagery EEG-based classification: A review180
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset172
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets159
Automated arrhythmia classification based on a combination network of CNN and LSTM141
A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure140
Endoscope image mosaic based on pyramid ORB127
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network121
Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG118
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy114
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion114
Automated emotion recognition based on higher order statistics and deep learning algorithm113
An improved method for soft tissue modeling113
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images113
Multi-modal Medical Image Fusion based on Two-scale Image Decomposition and Sparse Representation107
EEG-based emotion recognition using simple recurrent units network and ensemble learning107
A review on medical image denoising algorithms105
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE)105
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images102
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition102
ECG arrhythmia classification by using a recurrence plot and convolutional neural network100
Iterative reconstruction of low-dose CT based on differential sparse100
A review of the key technologies for sEMG-based human-robot interaction systems100
A lightweight CNN for Diabetic Retinopathy classification from fundus images94
An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique94
FPGA-based real-time epileptic seizure classification using Artificial Neural Network89
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images88
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach85
EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm85
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images84
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech83
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression83
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing82
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier79
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm77
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects77
Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism76
Electroencephalography-based motor imagery classification using temporal convolutional network fusion72
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies70
Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO70
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)69
DCT & DWT based watermarking scheme for medical information security69
Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters68
Detection of apnea events from ECG segments using Fourier decomposition method66
Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors66
A high-precision arrhythmia classification method based on dual fully connected neural network66
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network65
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia64
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot63
A smart ontology-based IoT framework for remote patient monitoring63
Hybrid deep neural network using transfer learning for EEG motor imagery decoding62
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach62
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces61
Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone60
Seizures classification based on higher order statistics and deep neural network60
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform60
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals60
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN60
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