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 2020-05-01 to 2024-05-01.)
ArticleCitations
Speech emotion recognition with deep convolutional neural networks311
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study271
Deep learning for motor imagery EEG-based classification: A review197
An IoT-based framework for early identification and monitoring of COVID-19 cases191
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset177
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets174
Endoscope image mosaic based on pyramid ORB129
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network129
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy124
Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG123
A review on medical image denoising algorithms117
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion117
An improved method for soft tissue modeling116
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images115
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE)112
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images110
A review of the key technologies for sEMG-based human-robot interaction systems108
Iterative reconstruction of low-dose CT based on differential sparse107
ECG arrhythmia classification by using a recurrence plot and convolutional neural network106
A lightweight CNN for Diabetic Retinopathy classification from fundus images100
EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm93
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression91
FPGA-based real-time epileptic seizure classification using Artificial Neural Network91
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing90
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech90
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images89
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images89
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach88
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier88
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects84
Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism81
Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors79
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm79
Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO78
Electroencephalography-based motor imagery classification using temporal convolutional network fusion78
Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters77
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia75
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)71
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network71
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies71
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN70
DCT & DWT based watermarking scheme for medical information security70
Detection of apnea events from ECG segments using Fourier decomposition method69
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot69
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach69
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces67
Deep learning based efficient epileptic seizure prediction with EEG channel optimization65
A smart ontology-based IoT framework for remote patient monitoring65
Hybrid deep neural network using transfer learning for EEG motor imagery decoding64
Review of challenges associated with the EEG artifact removal methods64
Energy efficient ECG classification with spiking neural network64
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection63
Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone63
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals63
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform62
Multi-modal brain image fusion based on multi-level edge-preserving filtering62
Seizures classification based on higher order statistics and deep neural network61
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region61
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification60
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images60
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation60
hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost59
Alzheimer’s disease classification using pre-trained deep networks59
Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review58
Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier58
Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training58
Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning57
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform57
Arrhythmia classification of LSTM autoencoder based on time series anomaly detection56
The algorithm of stereo vision and shape from shading based on endoscope imaging56
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes56
Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network56
Transformers in medical image segmentation: A review56
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification55
Automated detection of COVID-19 cough55
An Attention-based Bi-LSTM Method for Visual Object Classification via EEG55
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis54
EMG hand gesture classification using handcrafted and deep features54
Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks54
Heart disease detection using deep learning methods from imbalanced ECG samples54
Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images53
A robust deep learning approach for automatic classification of seizures against non-seizures53
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation53
A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model53
An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation53
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners52
dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI52
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer52
A fractional filter based efficient algorithm for retinal blood vessel segmentation52
Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model52
Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification51
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data51
EEG based emotion detection using fourth order spectral moment and deep learning51
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images51
EEG Signal denoising using hybrid approach of Variational Mode Decomposition and wavelets for depression51
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data50
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree50
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images50
A novel approach based on Three-scale image decomposition and Marine predators algorithm for multi-modal medical image fusion50
A multiscale residual pyramid attention network for medical image fusion50
An enhanced Predictive heterogeneous ensemble model for breast cancer prediction50
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients49
A novel electroencephalography based approach for Alzheimer’s disease and mild cognitive impairment detection49
Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework49
Heart disease prediction using hyper parameter optimization (HPO) tuning49
Deep hybrid architectures for binary classification of medical breast cancer images49
Arrhythmia classification algorithm based on multi-head self-attention mechanism48
EEG signal classification of imagined speech based on Riemannian distance of correntropy spectral density48
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features48
sEMG-based continuous estimation of grasp movements by long-short term memory network48
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods48
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification47
Breast cancer detection using an ensemble deep learning method47
Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach47
Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach47
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images46
Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach46
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models46
Combining Gabor energy with equilibrium optimizer algorithm for multi-modality medical image fusion45
Region-to-boundary deep learning model with multi-scale feature fusion for medical image segmentation45
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM45
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion45
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data45
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals45
A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm45
A Blood Pressure Prediction Method Based on Imaging Photoplethysmography in combination with Machine Learning44
Influence of music liking on EEG based emotion recognition44
Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings44
A systematic review on hybrid EEG/fNIRS in brain-computer interface44
Detection of mild cognitive impairment and Alzheimer’s disease using dual-task gait assessments and machine learning43
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification43
Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera43
A multimodal emotion recognition method based on facial expressions and electroencephalography43
Automated skin lesion segmentation using attention-based deep convolutional neural network43
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 rate42
Breast mass classification with transfer learning based on scaling of deep representations42
A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT42
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG42
A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography42
Semantic segmentation of ECG waves using hybrid channel-mix convolutional and bidirectional LSTM42
A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining42
Subject independent emotion recognition using EEG signals employing attention driven neural networks41
Machine-learning-based classification of the histological subtype of non-small-cell lung cancer using MRI texture analysis41
New geometrically invariant multiple zero-watermarking algorithm for color medical images41
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images41
Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification41
Deep learning models-based CT-scan image classification for automated screening of COVID-1940
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks40
Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition40
A deep learning study on osteosarcoma detection from histological images40
Dermoscopic skin lesion image segmentation based on Local Binary Pattern Clustering: Comparative study40
A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification40
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals39
Brain tumor classification using the fused features extracted from expanded tumor region39
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets39
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech39
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features39
Analysis and classification of heart rate using CatBoost feature ranking model39
Brain tumor image segmentation via asymmetric/symmetric UNet based on two-pathway-residual blocks39
Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images38
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods38
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support38
Motor imagery EEG classification based on flexible analytic wavelet transform38
Malignant and nonmalignant classification of breast lesions in mammograms using convolutional neural networks38
EEG-based emotion recognition in an immersive virtual reality environment: From local activity to brain network features38
COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning38
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images38
GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation37
Artificial neural network scheme to solve the nonlinear influenza disease model37
End-to-end sleep staging using convolutional neural network in raw single-channel EEG37
A deep convolutional neural network for the detection of polyps in colonoscopy images37
CovXmlc: High performance COVID-19 detection on X-ray images using Multi-Model classification37
Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients37
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering37
Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images37
The minimal sampling frequency of the photoplethysmogram for accurate pulse rate variability parameters in healthy volunteers36
Optic Cup segmentation from retinal fundus images using Glowworm Swarm Optimization for glaucoma detection36
Multi-modal data Alzheimer’s disease detection based on 3D convolution36
A retinal blood vessel segmentation based on improved D-MNet and pulse-coupled neural network36
Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques36
FFT-based deep feature learning method for EEG classification36
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review35
Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model35
Classification of White blood cell using Convolution Neural Network35
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing35
A novel approach for brain tumour detection using deep learning based technique35
Epilepsy seizure detection using kurtosis based VMD’s parameters selection and bandwidth features35
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM35
AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer’s disease through multiple neuroimaging computational approaches35
Fusion of EEG and EMG signals for classification of unilateral foot movements35
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease35
Efficient detection of myocardial infarction from single lead ECG signal35
Lung cancer diagnosis in CT images based on Alexnet optimized by modified Bowerbird optimization algorithm35
Multi-modal medical image fusion framework using co-occurrence filter and local extrema in NSST domain35
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring34
FBDM based time-frequency representation for sleep stages classification using EEG signals34
Hand gesture classification using time–frequency images and transfer learning based on CNN34
A novel multiscale convolutional neural network based age-related macular degeneration detection using OCT images34
Diabetic Retinopathy Grading by a Source-Free Transfer Learning Approach34
CNN-based bi-directional and directional long-short term memory network for determination of face mask34
Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal34
Medical image fusion using a modified shark smell optimization algorithm and hybrid wavelet-homomorphic filter34
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals34
A novel complex-valued convolutional neural network for medical image denoising34
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator33
Heart sound classification based on log Mel-frequency spectral coefficients features and convolutional neural networks33
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network33
Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features33
Time domain implementation of pediatric epileptic seizure detection system for enhancing the performance of detection and easy monitoring of pediatric patients33
Human knee abnormality detection from imbalanced sEMG data33
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture33
Segmentation of leukocyte by semantic segmentation model: A deep learning approach33
A hybrid DenseNet121-UNet model for brain tumor segmentation from MR Images33
Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging33
A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network33
Multi-class classification of brain tumor types from MR images using EfficientNets32
Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design32
Deep learning based fall detection using smartwatches for healthcare applications32
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection32
A deep learning based four-fold approach to classify brain MRI: BTSCNet32
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 applications32
Deep feature extraction method based on ensemble of convolutional auto encoders: Application to Alzheimer’s disease diagnosis32
A novel ensemble local graph structure based feature extraction network for EEG signal analysis32
Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss32
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm31
Automated segmentation and classifcation of retinal features for glaucoma diagnosis31
Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods31
Width-wise vessel bifurcation for improved retinal vessel segmentation31
Effective heart disease prediction using novel MLP-EBMDA approach31
Motion prediction for beating heart surgery with GRU31
Investigating the significance of color space for abnormality detection in wireless capsule endoscopy images31
Multi-label ocular disease classification with a dense correlation deep neural network31
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation31
Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification31
A fast and yet efficient YOLOv3 for blood cell detection30
Continuous angular position estimation of human ankle during unconstrained locomotion30
Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition30
A classification method for EEG motor imagery signals based on parallel convolutional neural network30
Gesture recognition using dual-stream CNN based on fusion of sEMG energy kernel phase portrait and IMU amplitude image30
Deep generative model with domain adversarial training for predicting arterial blood pressure waveform from photoplethysmogram signal30
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning30
MD-Net: A multi-scale dense network for retinal vessel segmentation30
A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method30
Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution30
CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression30
Automatic sleep stage classification: From classical machine learning methods to deep learning30
Feature subset and time segment selection for the classification of EEG data based motor imagery30
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization30
Unlabeled skin lesion classification by self-supervised topology clustering network30
Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images30
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