Biomedical Signal Processing and Control

Papers
(The median citation count of Biomedical Signal Processing and Control is 5. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy204
Domain-specific trained model to auto grade AV Nicking severity level173
General probability distribution model for wireless body sensors in the medical monitoring system168
Multi-objective advisory system for arrhytmia classification154
Theoretical analysis of the 12 min Cooper’s test to estimate the maximal oxygen uptake rate154
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection152
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)152
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs151
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation150
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids139
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony134
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]133
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels130
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features127
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography120
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring118
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks116
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus109
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments106
A deep learning method for contactless emotion recognition from ballistocardiogram103
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification103
A fusion algorithm based on composite decomposition for PET and MRI medical images101
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter100
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation98
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images98
Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns97
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness97
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification96
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation95
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns94
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms92
An end-to-end model for ECG signals classification based on residual attention network91
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band88
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery87
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging84
Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction83
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology82
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals82
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network82
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN81
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images81
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning81
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images80
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set79
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning78
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection77
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution77
EEG-based visual stimuli classification via reusable LSTM77
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation77
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain77
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination76
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging76
Attention gated tensor neural network architectures for speech emotion recognition76
MARGM: A multi-subjects adaptive region growing method for group fMRI data analysis74
An intelligent compression system for wireless capsule endoscopy images74
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network74
Information transfer rate in BCIs: Towards tightly integrated symbiosis73
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification73
Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction73
Efficient ROI-based compression of mammography images73
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images73
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity72
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal72
DCentNet: Decentralized multistage biomedical signal classification using early exits71
Analyzing subcortical structures in Alzheimer's disease using ensemble learning70
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration70
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton69
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model69
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements68
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks68
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals68
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks68
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection67
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels67
Edge device based efficient data collection in smart health monitoring system using wireless body area network67
Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection67
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM67
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding66
Gaussian regressed generative adversarial network based hermitian extreme gradient boosting for plant leaf disease detection66
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals64
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters64
Identification of blood loss based on multiple physiological parameters64
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects64
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy63
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation63
Weakly supervised object detection for automatic tooth-marked tongue recognition62
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity62
Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction62
Global Partition with Local Enhancement network for multitask learning of malignant melanoma62
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy62
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture62
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images62
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features62
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks60
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]60
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure60
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis60
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction60
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing59
ECG-based expert-knowledge attention network to tachyarrhythmia recognition59
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling58
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images58
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm58
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model58
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model58
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator58
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience57
A general framework for the assessment of scatter correction techniques in digital mammography57
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling57
EEG-based emotion classification Model: Combined model with improved score level fusion57
Denoising of ECG signals using weighted stationary wavelet total variation57
An intelligent heart disease prediction system using hybrid deep dense Aquila network56
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification56
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait56
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes56
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images56
Segmentation of patchy areas in biomedical images based on local edge density estimation56
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks55
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields55
Deep learning based automatic seizure prediction with EEG time-frequency representation55
SRT: Improved transformer-based model for classification of 2D heartbeat images55
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm54
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans54
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities54
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data54
Detection of Interictal epileptiform discharges with semi-supervised deep learning53
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation53
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images53
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech53
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal53
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation53
ECG denoising based on successive local filtering53
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection53
Width-wise vessel bifurcation for improved retinal vessel segmentation52
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback52
Feature extraction for abnormality detection in capsule endoscopy images52
Alzheimer’s disease classification using pre-trained deep networks51
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction51
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images51
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments50
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network50
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy50
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion50
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis50
Modality encoded latent dataset for emotion recognition50
Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound50
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour50
EEG emotion recognition using attention-based convolutional transformer neural network50
Solving the inverse problem based on UPEMD for electrocardiographic imaging49
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification49
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces49
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation49
Efficient contact-based registration for minimally invasive anterior hip arthroplasty49
A novel noninvasive method for dynamic cerebral autoregulation monitoring based on near-field coupling49
Symmetric deformable image pairwise registration by optimizing neural fields network architectures for guaranteeing transformations consistency49
TS-TWC: A time series representation learning framework based on Time-Wavelet contrasting48
White-light endoscopic colorectal lesion detection based on improved YOLOv748
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery48
Learning contextual representations with copula function for medical image segmentation48
Application of novel DIRF feature selection algorithm for automated brain disease detection47
A time-frequency map generation network embedded with spectral self-attention for motor imagery classification47
HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation47
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition47
Automatic epileptic seizure detection approach based on multi-stage Quantized Kernel Least Mean Square filters47
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder46
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning46
Exploring emotional experiences and dataset construction in the era of short videos based on physiological signals46
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images46
An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network46
Time-resolved EEG signal analysis for motor imagery activity recognition46
Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer46
Unsupervised metal artifacts reduction network for CT images based on efficient transformer46
A novel method for removing Rician noise from MRI based on variational mode decomposition45
A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data45
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing45
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation45
A denoising performance comparison based on ECG Signal Decomposition and local means filtering45
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks44
Analysis of atypical prosodic patterns in the speech of people with Down syndrome44
Analysis of time series of surface electromyography and accelerometry in dogs44
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder44
Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram44
Improving intrusion detection in cloud-based healthcare using neural network44
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under non-stationary head conditions44
COVID-19 disease detection using attention based Bi-Directional capsule network model44
DLT-Embryo: A Dual-branch Local feature fusion enhanced Transformer for Embryo multi-stage classification44
Sinusoidal model-based diagnosis of the common cold from the speech signal44
Research on emotion recognition of bimodal bioelectrical features based on D-S evidence theory44
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts44
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors44
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images44
Automatic 2D/3D spine registration based on two-step transformer with semantic attention and adaptive multi-dimensional loss function43
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length43
Edge-guided and hierarchical aggregation network for robust medical image segmentation43
An automatic method for microscopic diagnosis of diseases based on URCNN43
Broad learning solution for rapid diagnosis of COVID-1943
Usefulness of blinking duration variability (BDV) in discriminating emotional states43
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. Co43
Left atrial overload detection in ECG using frequency domain features with machine learning and deep learning algorithms42
Feasibility assessment of transfer functions describing biomechanics of the human lower limb during the gait cycle42
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions42
A novel analytical method to measure intra-individual variability of steady-state evoked potentials; new insights into attention deficit42
Elevated correlations in cardiac–neural dynamics: An impact of mantra meditation on stress alleviation42
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis42
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models42
A blood pressure estimation approach based on single-channel photoplethysmography differential features42
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals42
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things42
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy42
MRP-Net: Seizure detection method based on modified recurrence plot and additive attention convolution neural network42
ViT transfer learning for fMRI (VTFF): A highway to achieve superior performance for multi-classification of cognitive decline42
Towards an efficient system for hyperthermia treatment of breast tumors42
Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis42
Convolutional neural network-based fast seizure detection from video electroencephalograms41
Self-supervised inter–intra period-aware ECG representation learning for detecting atrial fibrillation41
Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation41
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia41
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies41
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals41
SEER-net: Simple EEG-based Recognition network41
FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks41
Dual attention-guided and learnable spatial transformation data augmentation multi-modal unsupervised medical image segmentation41
Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation41
A coarse-to-fine full attention guided capsule network for medical image segmentation41
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition41
Cross Pyramid Transformer makes U-net stronger in medical image segmentation40
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution40
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis40
CSNet: A deep learning approach for ECG compressed sensing40
Supervised categorized principal component analysis for imagined speech classification via applying singular value decomposition on a symmetry matrix40
Electromyographic hand gesture recognition using convolutional neural network with multi-attention40
A synergistic framework for histopathologic cancer detection using Epicurve Search –PSB model with surrosec Optimizer40
A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training40
Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery40
Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders40
Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection40
Remote photoplethysmography for heart rate measurement: A review40
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots40
Designing controllers for hand tremor suppression using model simplification40
Detection of sperm cells by single-stage and two-stage deep object detectors40
Localization of brain signals by alternating projection40
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation39
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images39
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection39
MIF-BTF-MRN: Medical image fusion based on the bilateral texture filter and transfer learning with the ResNet-101 network39
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features39
Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI39
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning39
Enhancing spatial auditory attention decoding with wavelet-based prototype training39
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models39
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