Biomedical Signal Processing and Control

Papers
(The H4-Index of Biomedical Signal Processing and Control is 76. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy338
Molecular subtype classification of breast cancer in digital breast tomosynthesis using the cross-window Transformer314
Investigating the effects of phantom sensation on gait autocorrelation in transtibial amputees using signal processing techniques: A multidisciplinary analysis210
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities185
Detection of Interictal epileptiform discharges with semi-supervised deep learning154
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images152
Modality encoded latent dataset for emotion recognition148
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery147
A Partitioned Multi-scale Spatiotemporal Convolutional Neural Network based on a neural connectivity decoupler for motor imagery-EEG decoding143
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony141
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure138
Efficient ROI-based compression of mammography images137
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait135
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging133
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images132
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding125
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation120
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features119
Domain-specific trained model to auto grade AV Nicking severity level119
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network116
SRT: Improved transformer-based model for classification of 2D heartbeat images114
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration109
DeepSyncNet:Deep synchronized fusion network for EEG-fNIRS multimodal brain-computer interfaces108
A frequency-attentive spatio-temporal convolutional neural network with weighted feature fusion for EEG-based driver fatigue detection107
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography107
A sparse representation-based hearing aid system using compressed acquisition and hybrid dictionaries105
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm105
Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy103
HBTF-Net: A hierarchical Bayesian multi-task fusion network for joint classification and segmentation of cervical cells103
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images103
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks101
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection100
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects98
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning98
TwoM: A model for joint time–frequency representation and spatial filtering for EEG-based depression recognition96
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images95
FDFuse: PET/CT image fusion via high-low frequency decomposition95
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification94
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans93
HCMUNet: A hybrid CNN and Mamba network for medical ultrasound image segmentation92
EEG-based emotion classification Model: Combined model with improved score level fusion91
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection90
DCentNet: Decentralized multistage biomedical signal classification using early exits89
Reproducible and generalizable speech emotion recognition via an Intelligent Fusion Network88
Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model87
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring86
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model86
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images86
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition86
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling86
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection85
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band85
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements85
Hemoperitoneum detection on non-contrast CT: Radiomics-driven explainable ML85
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis85
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution85
A lightweight variable-channel deep self-attention model for depression classification based on raw EEG signals85
Comparative analysis of predictive factors for variant pathogenicity in epilepsy research: A study based on the predictive gene-specific random forest (GRF) model84
Neurological insights into personality and emotional intelligence: Analysing EEG spectral bands through machine learning models84
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy84
A nasal cytology dataset for object detection and deep learning82
A general framework for the assessment of scatter correction techniques in digital mammography80
SCANet: automated Cobb angle measurement using deep learning model in X-ray images for adolescent idiopathic scoliosis patients80
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation80
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks79
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]79
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification78
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments78
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model77
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback77
Securing electronic health records using blockchain-based bi-layer algorithm with bit swapping codon encryption77
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images77
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation77
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes76
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments76
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain76
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