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 2022-06-01 to 2026-06-01.)
ArticleCitations
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy345
Investigating the effects of phantom sensation on gait autocorrelation in transtibial amputees using signal processing techniques: A multidisciplinary analysis332
Detection of Interictal epileptiform discharges with semi-supervised deep learning215
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images185
Modality encoded latent dataset for emotion recognition156
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery155
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony154
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure148
Efficient ROI-based compression of mammography images145
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait143
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging143
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images139
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding137
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation136
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features127
Domain-specific trained model to auto grade AV Nicking severity level125
DeepSyncNet:Deep synchronized fusion network for EEG-fNIRS multimodal brain-computer interfaces122
A frequency-attentive spatio-temporal convolutional neural network with weighted feature fusion for EEG-based driver fatigue detection121
A sparse representation-based hearing aid system using compressed acquisition and hybrid dictionaries117
HBTF-Net: A hierarchical Bayesian multi-task fusion network for joint classification and segmentation of cervical cells117
Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy111
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images110
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects109
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans106
FDFuse: PET/CT image fusion via high-low frequency decomposition106
EEG-based emotion classification Model: Combined model with improved score level fusion105
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection103
DCentNet: Decentralized multistage biomedical signal classification using early exits103
Reproducible and generalizable speech emotion recognition via an Intelligent Fusion Network101
Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model100
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition98
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis97
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring97
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection96
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements96
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution94
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band93
Comparative analysis of predictive factors for variant pathogenicity in epilepsy research: A study based on the predictive gene-specific random forest (GRF) model92
Hemoperitoneum detection on non-contrast CT: Radiomics-driven explainable ML92
SCANet: automated Cobb angle measurement using deep learning model in X-ray images for adolescent idiopathic scoliosis patients91
A nasal cytology dataset for object detection and deep learning91
A general framework for the assessment of scatter correction techniques in digital mammography90
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks90
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]89
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images89
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments89
Securing electronic health records using blockchain-based bi-layer algorithm with bit swapping codon encryption88
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model87
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain87
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)86
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields86
A self-attention-driven deep denoiser model for real time lung sound denoising in noisy environments86
Depth-wise fusion convolutional scaling network for vessel segmentation85
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation85
Enhancing subject-independent SSVEP-BCIs via joint style characteristic and content representation augmentation85
Cross-subject seizure detection with isochronous time–frequency gated attention and incremental graph bias84
EGDN-KL: Dynamic graph–deviation network for EEG anomaly detection84
Abdominal multi-organ lesion recognition via organ-specific feature perception and regionally enhanced feature learning83
Interpretable spatio-temporal graph learning for resting-state functional MRI based classification of Chronic Insomnia Disorder83
Component-wise score diffusion model with momentum-accelerated updates for low-dose CT reconstruction83
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity82
A novel blockchain-federated learning framework with quantum neural networks and wavelet transforms for secure IoT healthcare monitoring82
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns81
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification81
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks80
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. Do80
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images79
Global Partition with Local Enhancement network for multitask learning of malignant melanoma79
Automatic detection of Alzheimer’s disease from EEG signals using hybrid PSO-GWO algorithm79
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network79
A deep learning method for contactless emotion recognition from ballistocardiogram78
An intelligent heart disease prediction system using hybrid deep dense Aquila network78
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm78
Weakly supervised object detection for automatic tooth-marked tongue recognition78
A hybrid deep learning approach using XceptionNet and vision transformer for accurate chest disease detection from X-ray images78
Knowledge-aware Attentional Neural Network based healthcare big data analytics optimized with Weighted Velocity-Guided Grey Wolf Optimization Algorithm77
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction76
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN76
Multi-Modality physiological signal analysis for driver cognitive distraction detection using Spectral Domain Reconstruction Graph Neural Network75
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters75
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network74
Detecting isocitrate dehydrogenase mutation status in grade IV gliomas using stochastic differential equations74
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy74
Impact of auditory attention decoding accuracy on noise reduction systems for hearing aids73
Identification of blood loss based on multiple physiological parameters72
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation72
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination72
Denta-HybridoNet: a hybrid CNN-transformer architecture for automated detection of developmental dental anomalies in pediatric panoramic radiographs71
Analyzing subcortical structures in Alzheimer's disease using ensemble learning71
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging71
Performance enhancement of visual transformer models via dual-module collaboration for skin tumor classification70
Enhancing detection of mild cognitive impairment and epilepsy using EEG-EGG integration via differential distribution analysis70
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning69
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs69
A novel approach to biomechanical modeling: CT image weight initialization and Physics Informed Neural Networks69
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM69
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing68
Adaptive temporal convolutional network with multi-head EMA-gated attention for continuous radar-based human activity recognition68
General probability distribution model for wireless body sensors in the medical monitoring system68
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity67
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness67
A fusion algorithm based on composite decomposition for PET and MRI medical images67
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton67
Structural consistency alignment U-Net for breast tumors ultrasound segmentation66
Segmentation of patchy areas in biomedical images based on local edge density estimation66
MultiScaleSegNet: A novel framework for multi-modal brain tumor segmentation65
DiverseCER-Net: A compound emotion recognition framework based on residual Anti-Aliasing Attention network and diverse data augmentation65
TSAA-Net: Triple-semantic-aware attention network for colorectal cancer grading from histology images65
A Fine-tuning Multimodal Large Language Model for Endoscopic Report Generation65
HCMUNet: A hybrid CNN and Mamba network for medical ultrasound image segmentation64
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels64
Alignment-free bacterial pathogen identification using vision transformer and image augmentation techniques in high-resolution microscopy64
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation64
A U-shaped network with multi-branch convolutions and Mamba integration for pulmonary nodule segmentation64
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture63
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks63
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion63
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data63
TwoM: A model for joint time–frequency representation and spatial filtering for EEG-based depression recognition62
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation62
ECG-based expert-knowledge attention network to tachyarrhythmia recognition62
Polyp segmentation for colonoscopy images via Hierarchical Interworking Decoding62
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images62
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images62
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification61
Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction60
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network60
EEG-based visual stimuli classification via reusable LSTM60
Information transfer rate in BCIs: Towards tightly integrated symbiosis60
A Partitioned Multi-scale Spatiotemporal Convolutional Neural Network based on a neural connectivity decoupler for motor imagery-EEG decoding60
Early detection of pressure injuries via infrared thermography and ConvNeXt60
Classification of myopic maculopathy based on knowledge distillation and self-supervised learning59
Dynamic regulation of brain network and muscle activity in upper limb force generation among older adults: A temporal dynamic graph Fourier transform approach59
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology58
Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction58
EEG emotion recognition using attention-based convolutional transformer neural network58
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm58
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography58
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation58
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy58
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection57
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction57
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model57
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration57
FastSCVM: A lightweight hybrid Mamba–convolution network for efficient glaucoma image segmentation57
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model57
Deep learning based automatic seizure prediction with EEG time-frequency representation57
Molecular subtype classification of breast cancer in digital breast tomosynthesis using the cross-window Transformer57
A self-supervised representation-transfer multimodal learning for automated diagnosis of Developmental Dysplasia of the Hip56
MSRRA-NAF: Multi-Scale Relative Resolution Attention-Guided X-ray 3D Reconstruction via Neural Attenuation Field56
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set56
A fusion model of multimodal data based on cooperative attention for diagnosing occupational pneumoconiosis56
Deep learning advancements for cardiovascular diseases (CVDs) diagnosis: Imaging modalities, challenges, and future perspectives56
A temporal fusion light-transformer network for heart rate estimation55
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy55
A lightweight variable-channel deep self-attention model for depression classification based on raw EEG signals55
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks55
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images55
SRT: Improved transformer-based model for classification of 2D heartbeat images55
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities55
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments55
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms54
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback54
Neurological insights into personality and emotional intelligence: Analysing EEG spectral bands through machine learning models54
SwinEff-AttentionNet: a dual hybrid model for breast image segmentation and classification using multiple ultrasound modality54
A computer-assisted medical diagnosis system for cancer diseases based on quaternion orthogonal Rademacher-Fourier moments and deep learning54
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification54
Application of nonlinear properties of acoustic signals for diagnosing knee joint damage53
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection53
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal53
An end-to-end model for ECG signals classification based on residual attention network53
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling53
Edge-guided and hierarchical aggregation network for robust medical image segmentation52
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter52
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients52
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features52
Convolutional neural network-based fast seizure detection from video electroencephalograms52
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification52
Gaussian regressed generative adversarial network based hermitian extreme gradient boosting for plant leaf disease detection52
AC_Branch_MobileNet: An effective hybrid branch network for plane classification in fetus brain ultrasound image51
BrainWaveDecoder: From raw EEG to SSVEP-BCI target selection via end-to-end deep learning51
FedMCF-xLSTM: Federated contrastive xLSTM for multimodal multi-label ECG classification51
SAR-CGAN: Improved generative adversarial network for EIT reconstruction of lung diseases51
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies51
Application of novel DIRF feature selection algorithm for automated brain disease detection51
LFT-UNet: A lightweight fusion of transformer and U-Net architectures for embedded medical image segmentation51
Assessment of the impact of rapid freezing on the microscale elasticity of human breast tissue using quantitative micro-elastography51
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length51
Multi-modal medical image fusion via multi-dictionary and truncated Huber filtering51
Preoperative path planning algorithm for lung puncture biopsy based on path constraint and multidimensional space distance optimization51
HV-OCTAMamba: A high-order vision Mamba network for robust retinal vasculature segmentation in OCTA images51
An optimized machine learning methodology leveraging computational fluid dynamics-derived hemodynamic features for enhancing prediction accuracy of thin-walled regions in intracranial aneurysms51
A novel noninvasive method for dynamic cerebral autoregulation monitoring based on near-field coupling51
A multimodal cross-attention-based CNN-LSTM network for arrhythmia classification and clinical diagnostic support51
Efficient contact-based registration for minimally invasive anterior hip arthroplasty50
A blood pressure estimation approach based on single-channel photoplethysmography differential features50
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images50
Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound49
A prognosis-centric evaluation model for wearable sensor inputs in digital health intelligence49
Multi-level hierarchical prototype for few-shot medical image segmentation49
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals49
Enhancing spatial auditory attention decoding with wavelet-based prototype training49
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning49
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation49
Predicting dental implant failure risk from panoramic radiographs using deep learning49
Enhancing multiple sclerosis diagnosis and prognosis through a dual Patch-Wise CNN architecture49
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts48
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images48
Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery48
Unsupervised metal artifacts reduction network for CT images based on efficient transformer48
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots48
Broad learning solution for rapid diagnosis of COVID-1948
A Novel Personal Best- Control Binary Particle Swarm Optimization (NPbest-BPSO) based electromyography (EMG) signal feature selection and classification48
Designing controllers for hand tremor suppression using model simplification48
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG48
GLSNet: A Global Guided Local Feature Stepwise Aggregation Network for polyp segmentation48
A time-frequency map generation network embedded with spectral self-attention for motor imagery classification48
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning48
Balancing and feature selection strategy for Parkinson’s disease classification: An improved sequential feature selection approach48
LDR-TransUNet: a transformer-based u-net architecture with learnable dilation rate modules for endoscopic low-light image enhancement48
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification47
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models47
MIF-BTF-MRN: Medical image fusion based on the bilateral texture filter and transfer learning with the ResNet-101 network47
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces47
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder47
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals47
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images47
Automatic 2D/3D spine registration based on two-step transformer with semantic attention and adaptive multi-dimensional loss function47
Exploring emotional experiences and dataset construction in the era of short videos based on physiological signals47
A novel robust Student’s t-based Granger causality for EEG based brain network analysis47
Edge computing for diabetic early disease prediction based on optimized ensemble boosting Fuzzified neural network using recursive support vector feature selection46
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under non-stationary head conditions46
When more is not better: Predicting human emotional states with brain and bodily biosensors46
Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis46
An innovative transfer learning-polyp detection from wireless capsule endoscopy videos with optimal key frame selection and depth estimation46
Learning contextual representations with copula function for medical image segmentation46
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery46
Localization of brain signals by alternating projection46
DFU-FuzzyLiteUNet: A lightweight u-net with Fuzzy sigmoid and lite transformer for diabetic foot ulcer segmentation46
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia46
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy45
Multi-level deep imaging features fusion for lung nodule malignancy prediction45
An automatic method for microscopic diagnosis of diseases based on URCNN45
EOG Artifacts Suppression From single channel EEG Signals by VME-GMETV model45
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation45
Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG45
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy45
Self-supervised inter–intra period-aware ECG representation learning for detecting atrial fibrillation44
White-light endoscopic colorectal lesion detection based on improved YOLOv744
ViT transfer learning for fMRI (VTFF): A highway to achieve superior performance for multi-classification of cognitive decline44
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