Biomedical Signal Processing and Control

Papers
(The TQCC of Biomedical Signal Processing and Control is 13. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Patient's intention detection and control for sit-stand mechanism of an assistive device for paraplegics211
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging168
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging161
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy153
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding148
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness147
Domain-specific trained model to auto grade AV Nicking severity level144
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM143
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals139
A general framework for the assessment of scatter correction techniques in digital mammography133
General probability distribution model for wireless body sensors in the medical monitoring system129
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects127
Multi-objective advisory system for arrhytmia classification126
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments124
Theoretical analysis of the 12 min Cooper’s test to estimate the maximal oxygen uptake rate118
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation118
Modality encoded latent dataset for emotion recognition117
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity117
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes112
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy108
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)108
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing105
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels104
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model97
SRT: Improved transformer-based model for classification of 2D heartbeat images95
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain93
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs92
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection92
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments92
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation91
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy91
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids90
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band89
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling89
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony88
Impact of propofol general anesthesia on cardiovascular and cerebrovascular closed loop variability interactions87
A deep learning method for contactless emotion recognition from ballistocardiogram87
Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection86
The effect of groupness constraint on the sensitivity and specificity of canonical correlation analysis, a multi-modal anatomical and functional MRI study85
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels84
Corrigendum to “Identification of autism spectrum disorder using multi-regional resting-state data through an attention learning approach” [Biomed. Signal Process. Control 69 (2021) 102833]84
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification83
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection83
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features82
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography81
Detection of Interictal epileptiform discharges with semi-supervised deep learning81
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring79
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks78
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus77
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal77
Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns76
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms75
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]74
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification73
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery73
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience72
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter72
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis72
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation71
Attention gated tensor neural network architectures for speech emotion recognition70
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton70
Width-wise vessel bifurcation for improved retinal vessel segmentation70
Feature extraction for abnormality detection in capsule endoscopy images69
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters69
An intelligent compression system for wireless capsule endoscopy images69
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals69
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network69
MARGM: A multi-subjects adaptive region growing method for group fMRI data analysis68
Histopathological image classification based on cross-domain deep transferred feature fusion68
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network68
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection68
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm68
Identification of blood loss based on multiple physiological parameters68
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning67
ECG denoising based on successive local filtering67
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification66
A fusion algorithm based on composite decomposition for PET and MRI medical images66
Efficient ROI-based compression of mammography images66
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model66
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals66
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis65
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images64
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images64
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields63
A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals63
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images63
Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction63
EEG-based emotion classification Model: Combined model with improved score level fusion62
Information transfer rate in BCIs: Towards tightly integrated symbiosis61
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities61
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation61
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans61
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks60
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns60
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images60
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution59
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images59
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait59
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images59
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set59
Edge device based efficient data collection in smart health monitoring system using wireless body area network59
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction59
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling58
Multi-layer segmentation framework for cell nuclei using improved GVF Snake model, Watershed, and ellipse fitting58
EEG emotion recognition using attention-based convolutional transformer neural network58
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour58
EEG-based visual stimuli classification via reusable LSTM58
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation58
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation58
Alzheimer’s disease classification using pre-trained deep networks58
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture58
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model58
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks58
Analyzing subcortical structures in Alzheimer's disease using ensemble learning58
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images57
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks57
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback56
Segmentation of patchy areas in biomedical images based on local edge density estimation55
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation55
An end-to-end model for ECG signals classification based on residual attention network55
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination55
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy55
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images54
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data53
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network53
Denoising of ECG signals using weighted stationary wavelet total variation53
Deep learning based automatic seizure prediction with EEG time-frequency representation53
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks53
An intelligent heart disease prediction system using hybrid deep dense Aquila network52
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN52
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning52
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm52
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection52
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion52
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech52
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator52
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure51
Application of novel DIRF feature selection algorithm for automated brain disease detection51
ECG-based expert-knowledge attention network to tachyarrhythmia recognition51
Addressing smartphone mismatch in Parkinson’s disease detection aid systems based on speech51
IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images50
Towards an efficient system for hyperthermia treatment of breast tumors50
Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders50
Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery50
A novel noninvasive method for dynamic cerebral autoregulation monitoring based on near-field coupling50
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution50
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy50
A coarse-to-fine full attention guided capsule network for medical image segmentation50
Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound49
Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition49
Feasibility assessment of transfer functions describing biomechanics of the human lower limb during the gait cycle49
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models49
Detection of sperm cells by single-stage and two-stage deep object detectors49
Designing controllers for hand tremor suppression using model simplification48
Self-supervised inter–intra period-aware ECG representation learning for detecting atrial fibrillation48
A blood pressure estimation approach based on single-channel photoplethysmography differential features48
GLSNet: A Global Guided Local Feature Stepwise Aggregation Network for polyp segmentation48
TS-TWC: A time series representation learning framework based on Time-Wavelet contrasting48
Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation48
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals48
Elevated correlations in cardiac–neural dynamics: An impact of mantra meditation on stress alleviation47
A Novel Deep Learning based Gated Recurrent Unit with Extreme Learning Machine for Electrocardiogram (ECG) Signal Recognition47
Sinusoidal model-based diagnosis of the common cold from the speech signal47
Efficient contact-based registration for minimally invasive anterior hip arthroplasty47
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation46
Electromyographic hand gesture recognition using convolutional neural network with multi-attention46
Improving intrusion detection in cloud-based healthcare using neural network46
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification46
An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network46
Optimizing diabetic retinopathy detection with inception-V4 and dynamic version of snow leopard optimization algorithm46
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots46
Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection46
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients46
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis46
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces45
Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state45
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition45
Auditory attention decoding from electroencephalography based on long short-term memory networks45
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things45
White-light endoscopic colorectal lesion detection based on improved YOLOv744
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG44
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models44
Time-resolved EEG signal analysis for motor imagery activity recognition43
A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds43
Towards a model of arousal change after affective word pronunciation based on electrodermal activity and speech analysis43
The role of the autonomic nervous system in the patterns of heart rate fragmentation43
Choosing multichannel objective response detectors for multichannel auditory steady-state responses43
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition43
EOG Artifacts Suppression From single channel EEG Signals by VME-GMETV model42
Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram42
Research on emotion recognition of bimodal bioelectrical features based on D-S evidence theory42
Localization of brain signals by alternating projection42
Analysis of atypical prosodic patterns in the speech of people with Down syndrome42
Unsupervised metal artifacts reduction network for CT images based on efficient transformer42
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals42
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning41
Analysis of time series of surface electromyography and accelerometry in dogs41
Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging41
Automatic epileptic seizure detection approach based on multi-stage Quantized Kernel Least Mean Square filters41
A CNN-based novel solution for determining the survival status of heart failure patients with clinical record data: numeric to image41
Solving the inverse problem based on UPEMD for electrocardiographic imaging41
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors41
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under non-stationary head conditions41
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder41
Enhancing spatial auditory attention decoding with wavelet-based prototype training41
A novel robust Student’s t-based Granger causality for EEG based brain network analysis40
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation40
Broad learning solution for rapid diagnosis of COVID-1940
Dual attention-guided and learnable spatial transformation data augmentation multi-modal unsupervised medical image segmentation40
DLT-Embryo: A Dual-branch Local feature fusion enhanced Transformer for Embryo multi-stage classification40
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder40
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images40
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia40
Automatic 2D/3D spine registration based on two-step transformer with semantic attention and adaptive multi-dimensional loss function40
COVID-19 disease detection using attention based Bi-Directional capsule network model40
Fine-grained interactive attention learning for semi-supervised white blood cell classification40
Edge-guided and hierarchical aggregation network for robust medical image segmentation40
Graph denoising of impulsive EEG signals and the effect of their graph representation40
Corrigendum to “Multimodal coupling and HRV assessment characterize autonomic functional changes in congestive heart failure patients with sinus rhythm or severe arrhythmia” [Biomed Signal Process. Co40
Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer39
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation39
Supervised categorized principal component analysis for imagined speech classification via applying singular value decomposition on a symmetry matrix39
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery39
Convolutional neural network-based fast seizure detection from video electroencephalograms39
An automatic method for microscopic diagnosis of diseases based on URCNN39
Usefulness of blinking duration variability (BDV) in discriminating emotional states39
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts39
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length39
Preoperative path planning algorithm for lung puncture biopsy based on path constraint and multidimensional space distance optimization39
Effective use of prior information for high-performance embryo grading39
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis38
Enhancing online education recommendations through clustering-driven deep learning38
Learning contextual representations with copula function for medical image segmentation38
A synergistic framework for histopathologic cancer detection using Epicurve Search –PSB model with surrosec Optimizer38
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis38
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions38
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy38
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies38
A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training38
Left atrial overload detection in ECG using frequency domain features with machine learning and deep learning algorithms38
MIF-BTF-MRN: Medical image fusion based on the bilateral texture filter and transfer learning with the ResNet-101 network38
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study38
Deep BiLSTM neural network model for emotion detection using cross-dataset approach38
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection37
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning37
A spatiotemporal symmetrical transformer structure for EEG emotion recognition37
Cross Pyramid Transformer makes U-net stronger in medical image segmentation37
Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models37
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter37
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks37
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