Biomedical Signal Processing and Control

Papers
(The TQCC of Biomedical Signal Processing and Control is 11. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Speech emotion recognition with deep convolutional neural networks306
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study266
An IoT-based framework for early identification and monitoring of COVID-19 cases190
Deep learning for motor imagery EEG-based classification: A review188
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset174
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets165
A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure146
Endoscope image mosaic based on pyramid ORB128
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network125
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy119
Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG119
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion116
Automated emotion recognition based on higher order statistics and deep learning algorithm116
An improved method for soft tissue modeling114
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images113
EEG-based emotion recognition using simple recurrent units network and ensemble learning111
A review on medical image denoising algorithms110
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE)107
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images106
Iterative reconstruction of low-dose CT based on differential sparse105
ECG arrhythmia classification by using a recurrence plot and convolutional neural network104
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition104
A review of the key technologies for sEMG-based human-robot interaction systems102
A lightweight CNN for Diabetic Retinopathy classification from fundus images98
FPGA-based real-time epileptic seizure classification using Artificial Neural Network90
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images89
EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm88
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images87
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach86
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression85
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing85
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech85
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier85
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects80
Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism79
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm78
Electroencephalography-based motor imagery classification using temporal convolutional network fusion75
Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters74
Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO72
Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors71
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia71
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)71
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies71
DCT & DWT based watermarking scheme for medical information security70
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network68
Detection of apnea events from ECG segments using Fourier decomposition method66
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN66
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach65
A high-precision arrhythmia classification method based on dual fully connected neural network65
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot64
Hybrid deep neural network using transfer learning for EEG motor imagery decoding63
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces63
A smart ontology-based IoT framework for remote patient monitoring63
Seizures classification based on higher order statistics and deep neural network61
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals61
Review of challenges associated with the EEG artifact removal methods61
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification60
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection60
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform60
Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone60
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images59
Energy efficient ECG classification with spiking neural network59
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region59
Multi-modal brain image fusion based on multi-level edge-preserving filtering58
Deep learning based efficient epileptic seizure prediction with EEG channel optimization58
Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review56
Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier56
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform56
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation56
Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning56
EMG hand gesture classification using handcrafted and deep features54
Alzheimer’s disease classification using pre-trained deep networks54
Heart disease detection using deep learning methods from imbalanced ECG samples54
hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost54
Automated detection of COVID-19 cough54
Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network53
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes53
Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training53
The algorithm of stereo vision and shape from shading based on endoscope imaging53
Arrhythmia classification of LSTM autoencoder based on time series anomaly detection53
An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation52
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners52
A robust deep learning approach for automatic classification of seizures against non-seizures52
A fractional filter based efficient algorithm for retinal blood vessel segmentation51
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer51
Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model51
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification51
An Attention-based Bi-LSTM Method for Visual Object Classification via EEG51
Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks51
Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images50
EMG-driven hand model based on the classification of individual finger movements50
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation50
A novel approach based on Three-scale image decomposition and Marine predators algorithm for multi-modal medical image fusion50
A novel electroencephalography based approach for Alzheimer’s disease and mild cognitive impairment detection49
Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification49
A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model49
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis49
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree49
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data48
EEG based emotion detection using fourth order spectral moment and deep learning48
A multiscale residual pyramid attention network for medical image fusion48
EEG Signal denoising using hybrid approach of Variational Mode Decomposition and wavelets for depression48
Deep hybrid architectures for binary classification of medical breast cancer images47
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods47
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images47
An enhanced Predictive heterogeneous ensemble model for breast cancer prediction47
Heart disease prediction using hyper parameter optimization (HPO) tuning47
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features47
dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI46
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data46
Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach46
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients46
Transformers in medical image segmentation: A review46
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification45
Arrhythmia classification algorithm based on multi-head self-attention mechanism45
A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm45
sEMG-based continuous estimation of grasp movements by long-short term memory network45
Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework45
Breast cancer detection using an ensemble deep learning method45
EEG signal classification of imagined speech based on Riemannian distance of correntropy spectral density44
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images44
Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings44
A Blood Pressure Prediction Method Based on Imaging Photoplethysmography in combination with Machine Learning44
Combining Gabor energy with equilibrium optimizer algorithm for multi-modality medical image fusion44
Region-to-boundary deep learning model with multi-scale feature fusion for medical image segmentation44
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models44
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images44
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals43
Influence of music liking on EEG based emotion recognition43
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion43
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data43
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM43
Breast tumors recognition based on edge feature extraction using support vector machine43
Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach43
Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera42
A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT42
Detection of mild cognitive impairment and Alzheimer’s disease using dual-task gait assessments and machine learning42
Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach42
A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining42
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 rate41
Semantic segmentation of ECG waves using hybrid channel-mix convolutional and bidirectional LSTM41
Improved image processing techniques for optic disc segmentation in retinal fundus images41
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG41
A systematic review on hybrid EEG/fNIRS in brain-computer interface41
Automated skin lesion segmentation using attention-based deep convolutional neural network41
New geometrically invariant multiple zero-watermarking algorithm for color medical images41
A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography41
Breast mass classification with transfer learning based on scaling of deep representations40
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification40
A multimodal emotion recognition method based on facial expressions and electroencephalography40
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer40
Machine-learning-based classification of the histological subtype of non-small-cell lung cancer using MRI texture analysis40
A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification39
Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images38
Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition38
Dermoscopic skin lesion image segmentation based on Local Binary Pattern Clustering: Comparative study38
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals38
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech38
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images38
Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification38
Brain tumor classification using the fused features extracted from expanded tumor region38
A deep learning study on osteosarcoma detection from histological images38
Artificial neural network scheme to solve the nonlinear influenza disease model37
A deep convolutional neural network for the detection of polyps in colonoscopy images37
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images37
Brain tumor image segmentation via asymmetric/symmetric UNet based on two-pathway-residual blocks37
Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients37
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods37
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support37
Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images37
Subject independent emotion recognition using EEG signals employing attention driven neural networks37
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets37
The minimal sampling frequency of the photoplethysmogram for accurate pulse rate variability parameters in healthy volunteers36
CovXmlc: High performance COVID-19 detection on X-ray images using Multi-Model classification36
Deep learning models-based CT-scan image classification for automated screening of COVID-1936
Multi-modal data Alzheimer’s disease detection based on 3D convolution36
GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation36
FFT-based deep feature learning method for EEG classification36
Motor imagery EEG classification based on flexible analytic wavelet transform35
Classification of White blood cell using Convolution Neural Network35
Optic Cup segmentation from retinal fundus images using Glowworm Swarm Optimization for glaucoma detection35
Epilepsy seizure detection using kurtosis based VMD’s parameters selection and bandwidth features35
Efficient detection of myocardial infarction from single lead ECG signal35
A retinal blood vessel segmentation based on improved D-MNet and pulse-coupled neural network35
End-to-end sleep staging using convolutional neural network in raw single-channel EEG35
COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning35
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM35
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering35
Fusion of EEG and EMG signals for classification of unilateral foot movements34
Analysis and classification of heart rate using CatBoost feature ranking model34
FBDM based time-frequency representation for sleep stages classification using EEG signals34
Lung cancer diagnosis in CT images based on Alexnet optimized by modified Bowerbird optimization algorithm34
A novel complex-valued convolutional neural network for medical image denoising34
EEG-based emotion recognition in an immersive virtual reality environment: From local activity to brain network features34
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features34
Malignant and nonmalignant classification of breast lesions in mammograms using convolutional neural networks34
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks34
A novel multiscale convolutional neural network based age-related macular degeneration detection using OCT images33
Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks33
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals33
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease33
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring33
Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features33
CNN-based bi-directional and directional long-short term memory network for determination of face mask33
Time domain implementation of pediatric epileptic seizure detection system for enhancing the performance of detection and easy monitoring of pediatric patients33
Medical image fusion using a modified shark smell optimization algorithm and hybrid wavelet-homomorphic filter33
A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network33
A novel approach for brain tumour detection using deep learning based technique32
Diabetic Retinopathy Grading by a Source-Free Transfer Learning Approach32
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network32
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing32
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator32
Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model32
A novel ensemble local graph structure based feature extraction network for EEG signal analysis32
Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging32
Hand gesture classification using time–frequency images and transfer learning based on CNN32
AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer’s disease through multiple neuroimaging computational approaches32
Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques32
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture32
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI32
Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal32
Multi-modal medical image fusion framework using co-occurrence filter and local extrema in NSST domain32
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review31
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation31
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection31
Width-wise vessel bifurcation for improved retinal vessel segmentation31
A hybrid DenseNet121-UNet model for brain tumor segmentation from MR Images31
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 applications31
Automated segmentation and classifcation of retinal features for glaucoma diagnosis30
Investigating the significance of color space for abnormality detection in wireless capsule endoscopy images30
Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification30
Class-driven content-based medical image retrieval using hash codes of deep features30
Effective heart disease prediction using novel MLP-EBMDA approach30
A classification method for EEG motor imagery signals based on parallel convolutional neural network30
Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design30
Automatic sleep stage classification: From classical machine learning methods to deep learning30
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm30
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization30
CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression30
Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss30
Deep learning based fall detection using smartwatches for healthcare applications30
MD-Net: A multi-scale dense network for retinal vessel segmentation30
Detection of sleep apnea using deep neural networks and single-lead ECG signals29
Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images29
Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods29
Force myography controlled multifunctional hand prosthesis for upper-limb amputees29
Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution29
Motion prediction for beating heart surgery with GRU29
A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method29
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images29
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