Biomedical Signal Processing and Control

Article	Citations
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study	296
Deep learning for motor imagery EEG-based classification: A review	239
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets	207
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset	191
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy	139
Endoscope image mosaic based on pyramid ORB	135
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images	134
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images	127
ECG arrhythmia classification by using a recurrence plot and convolutional neural network	125
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion	125
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech	122
An improved method for soft tissue modeling	120
Iterative reconstruction of low-dose CT based on differential sparse	115
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression	114
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier	108
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images	106
Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors	104
Transformers in medical image segmentation: A review	104
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm	102
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing	102
Electroencephalography-based motor imagery classification using temporal convolutional network fusion	100
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia	98
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects	98
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images	97
Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters	95

Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism	94
Review of challenges associated with the EEG artifact removal methods	90
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces	90
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network	88
hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost	87
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies	87
dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI	83
Hybrid deep neural network using transfer learning for EEG motor imagery decoding	82
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images	80
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach	80
Alzheimer’s disease classification using pre-trained deep networks	79
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot	78
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN	78
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals	78
Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training	76
DCT & DWT based watermarking scheme for medical information security	76
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)	76
A smart ontology-based IoT framework for remote patient monitoring	75
Energy efficient ECG classification with spiking neural network	74
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification	73
Arrhythmia classification of LSTM autoencoder based on time series anomaly detection	73
Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network	72
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images	72
Deep learning based efficient epileptic seizure prediction with EEG channel optimization	72
Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review	72
Multi-modal brain image fusion based on multi-level edge-preserving filtering	71
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection	71
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data	69
Arrhythmia classification algorithm based on multi-head self-attention mechanism	69
Heart disease detection using deep learning methods from imbalanced ECG samples	69
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation	69
An Attention-based Bi-LSTM Method for Visual Object Classification via EEG	68
Heart disease prediction using hyper parameter optimization (HPO) tuning	68
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region	68
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform	68
A novel electrical impedance function to estimate central aortic blood pressure waveforms	67
Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images	67
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images	66
A multiscale residual pyramid attention network for medical image fusion	66
A robust deep learning approach for automatic classification of seizures against non-seizures	66
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images	66
An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation	64
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis	64
Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model	64
A novel electroencephalography based approach for Alzheimer’s disease and mild cognitive impairment detection	64
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes	64
An enhanced Predictive heterogeneous ensemble model for breast cancer prediction	63
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification	63
A novel approach for brain tumour detection using deep learning based technique	63
The algorithm of stereo vision and shape from shading based on endoscope imaging	62

EMG hand gesture classification using handcrafted and deep features	62
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform	62
Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks	62
Automated detection of COVID-19 cough	61
A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model	61
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners	61
EEG based emotion detection using fourth order spectral moment and deep learning	60
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models	60
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree	59
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data	59
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features	59
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification	59
Deep learning models-based CT-scan image classification for automated screening of COVID-19	59
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation	58
EEG Signal denoising using hybrid approach of Variational Mode Decomposition and wavelets for depression	58
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods	57
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features	57
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients	57
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM	55
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data	55
Deep hybrid architectures for binary classification of medical breast cancer images	55
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer	55
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification	55
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion	54
Analysis and classification of heart rate using CatBoost feature ranking model	54
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets	54
A systematic review on hybrid EEG/fNIRS in brain-computer interface	54
Multi-class classification of brain tumor types from MR images using EfficientNets	53
Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks	53
Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings	53
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks	53
Breast cancer detection using an ensemble deep learning method	53
A novel approach based on Three-scale image decomposition and Marine predators algorithm for multi-modal medical image fusion	53
Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach	52
Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images	52
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images	52
Detection of mild cognitive impairment and Alzheimer’s disease using dual-task gait assessments and machine learning	52
Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition	52
Brain tumor image segmentation via asymmetric/symmetric UNet based on two-pathway-residual blocks	52
A Blood Pressure Prediction Method Based on Imaging Photoplethysmography in combination with Machine Learning	51
Multi-modal data Alzheimer’s disease detection based on 3D convolution	51
Region-to-boundary deep learning model with multi-scale feature fusion for medical image segmentation	51
A multimodal emotion recognition method based on facial expressions and electroencephalography	50
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rate	50
Hand gesture classification using time–frequency images and transfer learning based on CNN	50
A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm	50
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods	50
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG	49
Machine-learning-based classification of the histological subtype of non-small-cell lung cancer using MRI texture analysis	49
Automated skin lesion segmentation using attention-based deep convolutional neural network	49
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture	49
Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera	49
Influence of music liking on EEG based emotion recognition	49
FFT-based deep feature learning method for EEG classification	49
Subject independent emotion recognition using EEG signals employing attention driven neural networks	48
EEG-based emotion recognition in an immersive virtual reality environment: From local activity to brain network features	48
Semantic segmentation of ECG waves using hybrid channel-mix convolutional and bidirectional LSTM	48
A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT	48
Multi-modal medical image fusion framework using co-occurrence filter and local extrema in NSST domain	48
Combining Gabor energy with equilibrium optimizer algorithm for multi-modality medical image fusion	47
A deep learning study on osteosarcoma detection from histological images	47
Detection of sleep apnea using deep neural networks and single-lead ECG signals	46
A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining	46
COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning	46
Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients	46
New geometrically invariant multiple zero-watermarking algorithm for color medical images	46
Classification of White blood cell using Convolution Neural Network	45
Breast mass classification with transfer learning based on scaling of deep representations	45
GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation	45
Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification	45
Deep learning based fall detection using smartwatches for healthcare applications	45
A hybrid DenseNet121-UNet model for brain tumor segmentation from MR Images	45
A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography	45
Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model	44
Explainable AI decision model for ECG data of cardiac disorders	44
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease	44
Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques	44
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images	43
Brain tumor classification using the fused features extracted from expanded tumor region	43
Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images	43

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering	43
Artificial neural network scheme to solve the nonlinear influenza disease model	43
The minimal sampling frequency of the photoplethysmogram for accurate pulse rate variability parameters in healthy volunteers	43
A novel complex-valued convolutional neural network for medical image denoising	43
Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images	43
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator	42
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals	42
Heart sound classification based on log Mel-frequency spectral coefficients features and convolutional neural networks	42
Deep feature extraction method based on ensemble of convolutional auto encoders: Application to Alzheimer’s disease diagnosis	42
MBANet: A 3D convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images	42
Diagnose Parkinson’s disease and cleft lip and palate using deep convolutional neural networks evolved by IP-based chimp optimization algorithm	42
Efficient detection of myocardial infarction from single lead ECG signal	42
Epilepsy seizure detection using kurtosis based VMD’s parameters selection and bandwidth features	41
A retinal blood vessel segmentation based on improved D-MNet and pulse-coupled neural network	41
A lexicon-based approach to detecting suicide-related messages on Twitter	41
A review on recent developments in cancer detection using Machine Learning and Deep Learning models	41
Effective heart disease prediction using novel MLP-EBMDA approach	41
HiFuse: Hierarchical multi-scale feature fusion network for medical image classification	40
Malignant and nonmalignant classification of breast lesions in mammograms using convolutional neural networks	40
End-to-end sleep staging using convolutional neural network in raw single-channel EEG	40
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM	40
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing	40
Diabetic Retinopathy Grading by a Source-Free Transfer Learning Approach	40
Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method	40
Automatic sleep stage classification: From classical machine learning methods to deep learning	40
Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design	39
A novel multiscale convolutional neural network based age-related macular degeneration detection using OCT images	39
Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods	39
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review	39
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals	39
CANet: Context aware network with dual-stream pyramid for medical image segmentation	39
Traditional machine learning algorithms for breast cancer image classification with optimized deep features	38
A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal	38
Lung cancer diagnosis in CT images based on Alexnet optimized by modified Bowerbird optimization algorithm	38
CovXmlc: High performance COVID-19 detection on X-ray images using Multi-Model classification	38
A deep learning based four-fold approach to classify brain MRI: BTSCNet	38
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation	38
CNN-based bi-directional and directional long-short term memory network for determination of face mask	38
Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal	38
A deep convolutional neural network for the detection of polyps in colonoscopy images	38
CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images	38
A deep learning-based framework For ECG signal denoising based on stacked cardiac cycle tensor	38
Width-wise vessel bifurcation for improved retinal vessel segmentation	38
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm	37
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring	37
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data	37
Medical image registration using unsupervised deep neural network: A scoping literature review	37
Optimal DeepMRSeg based tumor segmentation with GAN for brain tumor classification	37
A novel attentional deep neural network-based assessment method for ECG quality	37
Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis	37
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion	37
Multi-label ocular disease classification with a dense correlation deep neural network	37
A compact multi-branch 1D convolutional neural network for EEG-based motor imagery classification	37
CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression	37
AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer’s disease through multiple neuroimaging computational approaches	37
Generative adversarial network with transformer generator for boosting ECG classification	36
Human knee abnormality detection from imbalanced sEMG data	36
Automatic and accurate abnormality detection from brain MR images using a novel hybrid UnetResNext-50 deep CNN model	36
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm	36
Segmentation of leukocyte by semantic segmentation model: A deep learning approach	36
Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification	36
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization	36
Design and implementation of a robust noise removal system in ECG signals using dual-tree complex wavelet transform	35
Time adaptive ECG driven cardiovascular disease detector	35
GLFANet: A global to local feature aggregation network for EEG emotion recognition	35
Lightweight convolutional neural network with knowledge distillation for cervical cells classification	35
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation	35
EEG emotion recognition using attention-based convolutional transformer neural network	35
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning	35
Automated segmentation and classifcation of retinal features for glaucoma diagnosis	35
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network	35
Deep BiLSTM neural network model for emotion detection using cross-dataset approach	35
A novel autonomous learning framework to enhance sEMG-based hand gesture recognition using depth information	35
Applying deep learning technology for automatic fall detection using mobile sensors	35
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection	35
Comparison of machine learning strategies for infrared thermography of skin cancer	35
Machine-learning-enabled adaptive signal decomposition for a brain-computer interface using EEG	35
Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution	35
Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications	35
Motion prediction for beating heart surgery with GRU	34
Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features	34
FBDM based time-frequency representation for sleep stages classification using EEG signals	34
Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss	34
MD-Net: A multi-scale dense network for retinal vessel segmentation	34
DPAFNet: A Residual Dual-Path Attention-Fusion Convolutional Neural Network for Multimodal Brain Tumor Segmentation	34
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution	34
Deep generative model with domain adversarial training for predicting arterial blood pressure waveform from photoplethysmogram signal	34
A fast and yet efficient YOLOv3 for blood cell detection	34
A multimodal fusion model with multi-level attention mechanism for depression detection	34
A classification method for EEG motor imagery signals based on parallel convolutional neural network	34
ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework	34
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images	34
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations	33
Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal	33
IoT-based ECG monitoring for arrhythmia classification using Coyote Grey Wolf optimization-based deep learning CNN classifier	33