Biomedical Signal Processing and Control

Article	Citations
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring	282
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks	228
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]	212
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification	205
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns	186
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton	185
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging	182
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation	161
Efficient ROI-based compression of mammography images	157
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait	155
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy	154
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging	147
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images	143
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments	142
General probability distribution model for wireless body sensors in the medical monitoring system	140
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding	133
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation	129
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features	129
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]	129
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation	124
Domain-specific trained model to auto grade AV Nicking severity level	123
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals	119
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids	118
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy	116
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology	115

Molecular subtype classification of breast cancer in digital breast tomosynthesis using the cross-window Transformer	114
A deep learning method for contactless emotion recognition from ballistocardiogram	111
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network	110
Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction	109
Modality encoded latent dataset for emotion recognition	108
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation	108
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals	105
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus	102
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters	100
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks	99
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain	99
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs	98
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images	95
Identification of blood loss based on multiple physiological parameters	95
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal	93
Segmentation of patchy areas in biomedical images based on local edge density estimation	92
An end-to-end model for ECG signals classification based on residual attention network	92
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction	91
Global Partition with Local Enhancement network for multitask learning of malignant melanoma	91
ECG-based expert-knowledge attention network to tachyarrhythmia recognition	90
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network	90
Weakly supervised object detection for automatic tooth-marked tongue recognition	90
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity	90
DCentNet: Decentralized multistage biomedical signal classification using early exits	90
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning	90
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features	88
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks	87
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal	86
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans	84
SRT: Improved transformer-based model for classification of 2D heartbeat images	83
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination	83
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration	82
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition	81
Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model	81
A novel approach to biomechanical modeling: CT image weight initialization and Physics Informed Neural Networks	80
A fusion algorithm based on composite decomposition for PET and MRI medical images	80
TSAA-Net: Triple-semantic-aware attention network for colorectal cancer grading from histology images	79
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images	79
Analyzing subcortical structures in Alzheimer's disease using ensemble learning	79
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms	78
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals	78
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields	78
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis	77
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model	77
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band	77
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture	77
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set	76
Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy	76
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter	76
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification	74

Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network	74
Feature extraction for abnormality detection in capsule endoscopy images	73
Knowledge-aware Attentional Neural Network based healthcare big data analytics optimized with Weighted Velocity-Guided Grey Wolf Optimization Algorithm	73
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements	73
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm	73
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects	73
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography	73
Detection of Interictal epileptiform discharges with semi-supervised deep learning	72
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness	72
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks	71
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN	71
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities	71
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity	71
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure	71
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling	70
Deep learning based automatic seizure prediction with EEG time-frequency representation	70
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion	70
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images	70
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model	70
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection	69
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm	68
Attention gated tensor neural network architectures for speech emotion recognition	68
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing	68
Information transfer rate in BCIs: Towards tightly integrated symbiosis	67
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels	67
Detecting isocitrate dehydrogenase mutation status in grade IV gliomas using stochastic differential equations	67
An intelligent heart disease prediction system using hybrid deep dense Aquila network	67
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis	66
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images	66
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony	65
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction	65
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes	65
Automatic detection of Alzheimer’s disease from EEG signals using hybrid PSO-GWO algorithm	65
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification	65
Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction	65
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images	65
EEG-based visual stimuli classification via reusable LSTM	65
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator	64
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution	64
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling	64
Width-wise vessel bifurcation for improved retinal vessel segmentation	63
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning	63
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback	62
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery	62
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation	62
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)	62
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images	62
Denoising of ECG signals using weighted stationary wavelet total variation	62
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data	62
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection	62
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images	61
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy	61
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour	61
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM	61
Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction	61
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection	60
Reproducible and generalizable speech emotion recognition via an Intelligent Fusion Network	60
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments	60
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection	60
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation	59
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification	59
A hybrid deep learning approach using XceptionNet and vision transformer for accurate chest disease detection from X-ray images	59
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy	58
ECG denoising based on successive local filtering	58
EEG-based emotion classification Model: Combined model with improved score level fusion	58
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation	58
Alzheimer’s disease classification using pre-trained deep networks	58
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images	58
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model	58
Edge device based efficient data collection in smart health monitoring system using wireless body area network	58
Gaussian regressed generative adversarial network based hermitian extreme gradient boosting for plant leaf disease detection	58
EEG emotion recognition using attention-based convolutional transformer neural network	57
A novel framework for enhancing postpartum hemorrhage prediction: Balanced data preprocessing meets neural network modeling	57
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks	57
A general framework for the assessment of scatter correction techniques in digital mammography	57
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech	57
A synergistic framework for histopathologic cancer detection using Epicurve Search –PSB model with surrosec Optimizer	57
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length	56
SEER-net: Simple EEG-based Recognition network	56
Learning and encoding semantics for multimodal deformable image registration with weak supervision	56

An innovative transfer learning-polyp detection from wireless capsule endoscopy videos with optimal key frame selection and depth estimation	56
A novel noninvasive method for dynamic cerebral autoregulation monitoring based on near-field coupling	56
Enhancing Res2Net with cross-scale feature association and attention optimization for speaker recognition	56
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients	55
SAStainDiff: Self-supervised stain normalization by stain augmentation using denoising diffusion probabilistic models	55
Predicting dental implant failure risk from panoramic radiographs using deep learning	55
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. Co	55
MRI super-resolution reconstruction based on 3D dense connected convolutional autoencoders	55
FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks	54
Enhancing multiple sclerosis diagnosis and prognosis through a dual Patch-Wise CNN architecture	54
Symmetric deformable image pairwise registration by optimizing neural fields network architectures for guaranteeing transformations consistency	54
Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis	54
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things	53
Broad learning solution for rapid diagnosis of COVID-19	53
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning	53
Edge computing for diabetic early disease prediction based on optimized ensemble boosting Fuzzified neural network using recursive support vector feature selection	53
Edge-guided and hierarchical aggregation network for robust medical image segmentation	53
Supervised categorized principal component analysis for imagined speech classification via applying singular value decomposition on a symmetry matrix	53
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions	53
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia	52
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery	52
Analysis of time series of surface electromyography and accelerometry in dogs	52
White-light endoscopic colorectal lesion detection based on improved YOLOv7	52
Learning contextual representations with copula function for medical image segmentation	52
Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram	52
Solving the inverse problem based on UPEMD for electrocardiographic imaging	51
Towards an efficient system for hyperthermia treatment of breast tumors	51
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images	51
Graph denoising of impulsive EEG signals and the effect of their graph representation	51
Efficient contact-based registration for minimally invasive anterior hip arthroplasty	51
A novel analytical method to measure intra-individual variability of steady-state evoked potentials; new insights into attention deficit	51
Localization of brain signals by alternating projection	51
Dual Branch Network Based on Multi-Directional Feature Cross Fusion for Carotid Plaque and Vessel Co-Segmentation	50
Hybrid capsule_CNN for depression detection based sentiment classification using review data	50
Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation	50
HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation	50
Improving intrusion detection in cloud-based healthcare using neural network	49
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study	49
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution	49
An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network	49
Application of novel DIRF feature selection algorithm for automated brain disease detection	49
Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation	49
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis	49
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts	48
An automatic method for microscopic diagnosis of diseases based on URCNN	48
Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound	48
TS-TWC: A time series representation learning framework based on Time-Wavelet contrasting	48
A time-frequency map generation network embedded with spectral self-attention for motor imagery classification	48
Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging	48
Time-resolved EEG signal analysis for motor imagery activity recognition	48
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing	48
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces	48
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification	47
Designing controllers for hand tremor suppression using model simplification	47
COVID-19 disease detection using attention based Bi-Directional capsule network model	47
MRP-Net: Seizure detection method based on modified recurrence plot and additive attention convolution neural network	47
Convolutional neural network-based fast seizure detection from video electroencephalograms	47
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy	47
Multi-modal medical image fusion via multi-dictionary and truncated Huber filtering	47
A blood pressure estimation approach based on single-channel photoplethysmography differential features	47
Addressing smartphone mismatch in Parkinson’s disease detection aid systems based on speech	46
MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns	46
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors	46
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models	46
ViT transfer learning for fMRI (VTFF): A highway to achieve superior performance for multi-classification of cognitive decline	46
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder	46
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks	46
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks	46
Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI image	46
Spatial-frequency fusion for retinal vessel segmentation	46
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy	46
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis	46
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder	46
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images	45
Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state	45
Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery	45
Learning discriminative functional connectivity networks for identifying Autism spectrum disorder	45
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG	45
Cross-subject emotion recognition by EEG driven spatio-temporal hybrid network based on domain adaptation and dynamic graph attention	45
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals	45
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation	45
Fine-grained interactive attention learning for semi-supervised white blood cell classification	45
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation	45
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition	45
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning	44
Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models	44
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies	44
Self-supervised inter–intra period-aware ECG representation learning for detecting atrial fibrillation	44
Supervised autoregressive eXogenous Networks with Fractional Grünwald–Letnikov finite differences: Tumor Evolution and Immune Responses under Therapeutic Influence fractals model	44
Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG	44
Cross Pyramid Transformer makes U-net stronger in medical image segmentation	44
Detection of sperm cells by single-stage and two-stage deep object detectors	44
A novel robust Student’s t-based Granger causality for EEG based brain network analysis	43
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals	43
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition	43