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 2022-06-01 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
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging143
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait143
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
HBTF-Net: A hierarchical Bayesian multi-task fusion network for joint classification and segmentation of cervical cells117
A sparse representation-based hearing aid system using compressed acquisition and hybrid dictionaries117
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
FDFuse: PET/CT image fusion via high-low frequency decomposition106
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans106
EEG-based emotion classification Model: Combined model with improved score level fusion105
DCentNet: Decentralized multistage biomedical signal classification using early exits103
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection103
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
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring97
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis97
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
Hemoperitoneum detection on non-contrast CT: Radiomics-driven explainable ML92
Comparative analysis of predictive factors for variant pathogenicity in epilepsy research: A study based on the predictive gene-specific random forest (GRF) model92
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
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks90
A general framework for the assessment of scatter correction techniques in digital mammography90
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
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]89
Securing electronic health records using blockchain-based bi-layer algorithm with bit swapping codon encryption88
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain87
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model87
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
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)86
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
EGDN-KL: Dynamic graph–deviation network for EEG anomaly detection84
Cross-subject seizure detection with isochronous time–frequency gated attention and incremental graph bias84
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
Abdominal multi-organ lesion recognition via organ-specific feature perception and regionally enhanced feature learning83
A novel blockchain-federated learning framework with quantum neural networks and wavelet transforms for secure IoT healthcare monitoring82
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity82
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
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
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks80
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
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images79
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
A deep learning method for contactless emotion recognition from ballistocardiogram78
An intelligent heart disease prediction system using hybrid deep dense Aquila network78
Knowledge-aware Attentional Neural Network based healthcare big data analytics optimized with Weighted Velocity-Guided Grey Wolf Optimization Algorithm77
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN76
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction76
0.30433201789856