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 2022-08-01 to 2026-08-01.)
ArticleCitations
Investigating the effects of phantom sensation on gait autocorrelation in transtibial amputees using signal processing techniques: A multidisciplinary analysis372
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy372
Modality encoded latent dataset for emotion recognition222
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony185
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure168
Efficient ROI-based compression of mammography images163
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait161
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging157
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images152
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding151
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features149
DeepSyncNet:Deep synchronized fusion network for EEG-fNIRS multimodal brain-computer interfaces149
A sparse representation-based hearing aid system using compressed acquisition and hybrid dictionaries147
Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy146
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images145
EEG-based emotion classification Model: Combined model with improved score level fusion134
FDFuse: PET/CT image fusion via high-low frequency decomposition134
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition128
Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model128
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring124
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection120
Comparative analysis of predictive factors for variant pathogenicity in epilepsy research: A study based on the predictive gene-specific random forest (GRF) model114
Hemoperitoneum detection on non-contrast CT: Radiomics-driven explainable ML114
SCANet: automated Cobb angle measurement using deep learning model in X-ray images for adolescent idiopathic scoliosis patients113
A general framework for the assessment of scatter correction techniques in digital mammography112
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks110
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]109
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images107
Securing electronic health records using blockchain-based bi-layer algorithm with bit swapping codon encryption106
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields105
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain105
Enhancing subject-independent SSVEP-BCIs via joint style characteristic and content representation augmentation104
A self-attention-driven deep denoiser model for real time lung sound denoising in noisy environments104
Depth-wise fusion convolutional scaling network for vessel segmentation104
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)104
Interpretable spatio-temporal graph learning for resting-state functional MRI based classification of Chronic Insomnia Disorder103
Abdominal multi-organ lesion recognition via organ-specific feature perception and regionally enhanced feature learning103
Cross-subject seizure detection with isochronous time–frequency gated attention and incremental graph bias103
Component-wise score diffusion model with momentum-accelerated updates for low-dose CT reconstruction99
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity97
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks97
An intelligent heart disease prediction system using hybrid deep dense Aquila network96
Global Partition with Local Enhancement network for multitask learning of malignant melanoma96
Weakly supervised object detection for automatic tooth-marked tongue recognition94
Multi-Modality physiological signal analysis for driver cognitive distraction detection using Spectral Domain Reconstruction Graph Neural Network93
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network93
Knowledge-aware Attentional Neural Network based healthcare big data analytics optimized with Weighted Velocity-Guided Grey Wolf Optimization Algorithm93
Detecting isocitrate dehydrogenase mutation status in grade IV gliomas using stochastic differential equations93
PC-Autonet: A novel approach for denoising of magnetic Resonance imaging for prostate cancer detection92
A meta-heuristic optimization aided automatic technique for lung nodule segmentation and classification using adaptive deep learning mechanism91
Reference-based DWI super-resolution network using dual split factor attention and progressive feature matching91
Impact of auditory attention decoding accuracy on noise reduction systems for hearing aids90
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination90
Analyzing subcortical structures in Alzheimer's disease using ensemble learning89
Identification of blood loss based on multiple physiological parameters89
Denta-HybridoNet: a hybrid CNN-transformer architecture for automated detection of developmental dental anomalies in pediatric panoramic radiographs88
Enhancing detection of mild cognitive impairment and epilepsy using EEG-EGG integration via differential distribution analysis87
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning87
General probability distribution model for wireless body sensors in the medical monitoring system86
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs86
Adaptive temporal convolutional network with multi-head EMA-gated attention for continuous radar-based human activity recognition86
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing85
Segmentation of patchy areas in biomedical images based on local edge density estimation84
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness84
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity84
TSAA-Net: Triple-semantic-aware attention network for colorectal cancer grading from histology images84
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton84
MultiScaleSegNet: A novel framework for multi-modal brain tumor segmentation83
DiverseCER-Net: A compound emotion recognition framework based on residual Anti-Aliasing Attention network and diverse data augmentation83
A Fine-tuning Multimodal Large Language Model for Endoscopic Report Generation83
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels82
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture81
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation81
Alignment-free bacterial pathogen identification using vision transformer and image augmentation techniques in high-resolution microscopy81
HCMUNet: A hybrid CNN and Mamba network for medical ultrasound image segmentation81
A U-shaped network with multi-branch convolutions and Mamba integration for pulmonary nodule segmentation81
Polyp segmentation for colonoscopy images via Hierarchical Interworking Decoding81
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification80
An automated assessment framework for evaluating multiple sclerosis lesions using interpolation and gap-filling voxelization in 2D MRI80
A Partitioned Multi-scale Spatiotemporal Convolutional Neural Network based on a neural connectivity decoupler for motor imagery-EEG decoding80
Early detection of pressure injuries via infrared thermography and ConvNeXt79
Classification of myopic maculopathy based on knowledge distillation and self-supervised learning79
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography78
Dynamic regulation of brain network and muscle activity in upper limb force generation among older adults: A temporal dynamic graph Fourier transform approach78
OtoSTVT: a diagnostic-driven frame selection method for otoscopy videos using spatio-temporal transformers77
CD-AHF: A causal-driven adaptive hierarchical fusion framework for multimodal cancer prognosis76
FastSCVM: A lightweight hybrid Mamba–convolution network for efficient glaucoma image segmentation76
Molecular subtype classification of breast cancer in digital breast tomosynthesis using the cross-window Transformer76
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model74
MSRRA-NAF: Multi-Scale Relative Resolution Attention-Guided X-ray 3D Reconstruction via Neural Attenuation Field73
A self-supervised representation-transfer multimodal learning for automated diagnosis of Developmental Dysplasia of the Hip73
A temporal fusion light-transformer network for heart rate estimation73
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model73
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks72
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal71
Walking the energy lines: Physics-inspired fuzzy self-ensembling for medical image classification71
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery71
Coordinate attention based multi-branch absolute transformer for liver tumor classification using CT images71
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy71
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation71
Editorial Board71
Automatic detection of Alzheimer’s disease from EEG signals using hybrid PSO-GWO algorithm71
TwoM: A model for joint time–frequency representation and spatial filtering for EEG-based depression recognition70
Reproducible and generalizable speech emotion recognition via an Intelligent Fusion Network70
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation69
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration68
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation68
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis68
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments67
Neurological insights into personality and emotional intelligence: Analysing EEG spectral bands through machine learning models67
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network67
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback67
EEG-based visual stimuli classification via reusable LSTM66
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification66
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns66
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks66
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation66
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set66
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology65
NeuroTrust-SCZ: Cloud-Enabled Neuro-Symbolic deep ensemble for explainable schizophrenia detection with smart IoT EEG devices65
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM65
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters65
Deep learning framework integrating 18F-FDG PET/CT and clinical data for early prediction of chemotherapy response in advanced breast cancer65
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction64
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements64
SAM2-PolypNet: SAM2 with adaptive context enhancement model for polyp segmentation64
EGDN-KL: Dynamic graph–deviation network for EEG anomaly detection63
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm63
Information transfer rate in BCIs: Towards tightly integrated symbiosis63
Deep learning advancements for cardiovascular diseases (CVDs) diagnosis: Imaging modalities, challenges, and future perspectives63
Corrigendum to “Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies”. [Biomed. Signal Process. Contr. 100, Part A (2025) 106872. Do63
A novel blockchain-federated learning framework with quantum neural networks and wavelet transforms for secure IoT healthcare monitoring63
A computer-assisted medical diagnosis system for cancer diseases based on quaternion orthogonal Rademacher-Fourier moments and deep learning63
An end-to-end model for ECG signals classification based on residual attention network62
A hybrid deep learning approach using XceptionNet and vision transformer for accurate chest disease detection from X-ray images62
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection62
A nasal cytology dataset for object detection and deep learning62
Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction62
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network62
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification62
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling62
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms61
Deep learning based automatic seizure prediction with EEG time-frequency representation61
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data61
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion61
Region-guided preprocessing and U-Net variants for improved panoramic dental radiograph segmentation60
DCentNet: Decentralized multistage biomedical signal classification using early exits60
EF-YOLO: Event fusion-based YOLO framework for accurate zebrafish quantification60
A lightweight variable-channel deep self-attention model for depression classification based on raw EEG signals60
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images59
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band59
Detection of Interictal epileptiform discharges with semi-supervised deep learning59
SRT: Improved transformer-based model for classification of 2D heartbeat images59
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy59
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging59
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution58
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images58
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection58
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities58
A frequency-attentive spatio-temporal convolutional neural network with weighted feature fusion for EEG-based driver fatigue detection58
Application of nonlinear properties of acoustic signals for diagnosing knee joint damage58
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features58
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN58
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments57
GFRATCMDA: Predicting human microbe–disease associations based on factorized random attention network and feature contrastive coding57
Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction57
Effectiveness of changing stimulus frequency and intensity of sound for evaluating hearing by monitoring pupil responses57
Development of deep learning “DTONet” for accurate detection of tumor organoids57
Fluorescence-based tumor tracking for real-time photodynamic therapy monitoring57
LAST-CBPM: photoplethysmography-based quasi-continuous blood pressure monitoring algorithm57
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification56
A fusion model of multimodal data based on cooperative attention for diagnosing occupational pneumoconiosis56
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects56
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection56
SwinEff-AttentionNet: a dual hybrid model for breast image segmentation and classification using multiple ultrasound modality56
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation56
Structural consistency alignment U-Net for breast tumors ultrasound segmentation55
Gaussian regressed generative adversarial network based hermitian extreme gradient boosting for plant leaf disease detection55
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter55
Performance enhancement of visual transformer models via dual-module collaboration for skin tumor classification54
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model54
EEG emotion recognition using attention-based convolutional transformer neural network54
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images54
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans54
Convolutional neural network-based fast seizure detection from video electroencephalograms53
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images53
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy53
A novel approach to biomechanical modeling: CT image weight initialization and Physics Informed Neural Networks53
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images53
HBTF-Net: A hierarchical Bayesian multi-task fusion network for joint classification and segmentation of cervical cells53
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction53
A deep learning method for contactless emotion recognition from ballistocardiogram53
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images52
Efficient contact-based registration for minimally invasive anterior hip arthroplasty52
BrainWaveDecoder: From raw EEG to SSVEP-BCI target selection via end-to-end deep learning52
FedMCF-xLSTM: Federated contrastive xLSTM for multimodal multi-label ECG classification52
Efficient multi-class motor imagery EEG classification with cosine convolution and channel-group spatial feature extraction52
Coronary artery vessel segmentation with intentional semi-supervised learning52
Assessment of the impact of rapid freezing on the microscale elasticity of human breast tissue using quantitative micro-elastography52
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies52
Adaptive fuzzy identity-based cryptography for real time medical image security52
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length52
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients52
Enhancing spatial auditory attention decoding with wavelet-based prototype training51
Enhancing multiple sclerosis diagnosis and prognosis through a dual Patch-Wise CNN architecture51
Broad learning solution for rapid diagnosis of COVID-1951
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation51
GLSNet: A Global Guided Local Feature Stepwise Aggregation Network for polyp segmentation51
Predicting dental implant failure risk from panoramic radiographs using deep learning51
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals51
A prognosis-centric evaluation model for wearable sensor inputs in digital health intelligence51
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning51
A Novel Personal Best- Control Binary Particle Swarm Optimization (NPbest-BPSO) based electromyography (EMG) signal feature selection and classification50
Designing controllers for hand tremor suppression using model simplification50
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models50
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts50
LDR-TransUNet: a transformer-based u-net architecture with learnable dilation rate modules for endoscopic low-light image enhancement50
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images50
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals50
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images50
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces50
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder50
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under non-stationary head conditions49
Edge computing for diabetic early disease prediction based on optimized ensemble boosting Fuzzified neural network using recursive support vector feature selection49
DFU-FuzzyLiteUNet: A lightweight u-net with Fuzzy sigmoid and lite transformer for diabetic foot ulcer segmentation49
Localization of brain signals by alternating projection49
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery49
An innovative transfer learning-polyp detection from wireless capsule endoscopy videos with optimal key frame selection and depth estimation49
Learning contextual representations with copula function for medical image segmentation49
An automatic method for microscopic diagnosis of diseases based on URCNN48
Self-supervised inter–intra period-aware ECG representation learning for detecting atrial fibrillation48
Refined myocardium segmentation from CT using a Hybrid-Fusion transformer48
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia48
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy48
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy48
EOG Artifacts Suppression From single channel EEG Signals by VME-GMETV model48
When more is not better: Predicting human emotional states with brain and bodily biosensors48
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation48
Population information exchange differential evolution with CMAES for multi-threshold segmentation of breast cancer pathologic images48
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition47
Dual Branch Network Based on Multi-Directional Feature Cross Fusion for Carotid Plaque and Vessel Co-Segmentation47
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study47
Robust context-aware medical images segmentation using multi-scale convolutions and adaptive feature fusion47
Integrating biophysical dynamics with a data-driven method for blood pressure (BP) estimation using photoplethysmography (PPG)47
Recursive sample weighted – N-way partial least squares for brain-computer interface decoder online learning with class imbalance47
APP-Net: A physics-constrained joint prior-guided network for CBCT metal artifact reduction46
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things46
Whole slide image redundancy reduction for efficient pathological diagnosis46
MAHFNet: A Multi-Attention hierarchical fusion network for ultrasound image segmentation46
Enhancing Res2Net with cross-scale feature association and attention optimization for speaker recognition46
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