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 2021-06-01 to 2025-06-01.)
ArticleCitations
Patient's intention detection and control for sit-stand mechanism of an assistive device for paraplegics215
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging174
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging173
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy160
Domain-specific trained model to auto grade AV Nicking severity level151
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals149
General probability distribution model for wireless body sensors in the medical monitoring system148
Multi-objective advisory system for arrhytmia classification147
Theoretical analysis of the 12 min Cooper’s test to estimate the maximal oxygen uptake rate144
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)136
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes136
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model134
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection127
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs126
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy125
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation122
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids120
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band119
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony113
A deep learning method for contactless emotion recognition from ballistocardiogram112
The effect of groupness constraint on the sensitivity and specificity of canonical correlation analysis, a multi-modal anatomical and functional MRI study111
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]106
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels105
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features104
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography98
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring97
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks96
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus95
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal95
Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns94
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification93
Attention gated tensor neural network architectures for speech emotion recognition92
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation92
Width-wise vessel bifurcation for improved retinal vessel segmentation91
An intelligent compression system for wireless capsule endoscopy images90
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network90
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning89
MARGM: A multi-subjects adaptive region growing method for group fMRI data analysis89
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection89
Histopathological image classification based on cross-domain deep transferred feature fusion89
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification86
A fusion algorithm based on composite decomposition for PET and MRI medical images85
Efficient ROI-based compression of mammography images85
EEG-based emotion classification Model: Combined model with improved score level fusion83
Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction83
Information transfer rate in BCIs: Towards tightly integrated symbiosis82
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images82
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait81
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour80
Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction79
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity77
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal77
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology77
DCentNet: Decentralized multistage biomedical signal classification using early exits77
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification76
Analyzing subcortical structures in Alzheimer's disease using ensemble learning76
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling75
Segmentation of patchy areas in biomedical images based on local edge density estimation75
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution74
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network74
ECG denoising based on successive local filtering72
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning72
EEG-based visual stimuli classification via reusable LSTM72
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection71
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification71
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model71
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals70
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton70
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks69
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation69
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN69
Edge device based efficient data collection in smart health monitoring system using wireless body area network69
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm69
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator69
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination69
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding68
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters68
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm68
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images68
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling68
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields66
Identification of blood loss based on multiple physiological parameters66
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing65
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels65
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects65
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals65
SRT: Improved transformer-based model for classification of 2D heartbeat images64
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images64
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy64
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments64
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation64
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery63
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter63
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture63
A general framework for the assessment of scatter correction techniques in digital mammography62
ECG-based expert-knowledge attention network to tachyarrhythmia recognition62
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set61
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation61
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks61
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments61
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images61
Modality encoded latent dataset for emotion recognition61
Impact of propofol general anesthesia on cardiovascular and cerebrovascular closed loop variability interactions60
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms60
Alzheimer’s disease classification using pre-trained deep networks60
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience60
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images60
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network59
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities59
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns59
Detection of Interictal epileptiform discharges with semi-supervised deep learning59
An end-to-end model for ECG signals classification based on residual attention network58
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images58
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity58
Denoising of ECG signals using weighted stationary wavelet total variation58
Feature extraction for abnormality detection in capsule endoscopy images57
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images57
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion56
An intelligent heart disease prediction system using hybrid deep dense Aquila network56
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data56
EEG emotion recognition using attention-based convolutional transformer neural network56
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain56
Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection55
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks55
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images55
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy54
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness54
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback54
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model54
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features53
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks53
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis53
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech53
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure53
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection53
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation53
Deep learning based automatic seizure prediction with EEG time-frequency representation53
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM53
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans53
Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery52
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation52
Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound52
A coarse-to-fine full attention guided capsule network for medical image segmentation52
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis52
Feasibility assessment of transfer functions describing biomechanics of the human lower limb during the gait cycle52
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction52
Detection of sperm cells by single-stage and two-stage deep object detectors51
A Novel Deep Learning based Gated Recurrent Unit with Extreme Learning Machine for Electrocardiogram (ECG) Signal Recognition50
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things50
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification50
Efficient contact-based registration for minimally invasive anterior hip arthroplasty50
Symmetric deformable image pairwise registration by optimizing neural fields network architectures for guaranteeing transformations consistency50
GLSNet: A Global Guided Local Feature Stepwise Aggregation Network for polyp segmentation50
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients50
Learning discriminative functional connectivity networks for identifying Autism spectrum disorder50
IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images49
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation49
FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks49
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models49
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces49
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models49
ViT transfer learning for fMRI (VTFF): A highway to achieve superior performance for multi-classification of cognitive decline49
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing48
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis48
Solving the inverse problem based on UPEMD for electrocardiographic imaging47
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 disorders47
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter47
Supervised categorized principal component analysis for imagined speech classification via applying singular value decomposition on a symmetry matrix47
Auditory attention decoding from electroencephalography based on long short-term memory networks47
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection47
A CNN-based novel solution for determining the survival status of heart failure patients with clinical record data: numeric to image46
A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training46
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images46
Electromyographic hand gesture recognition using convolutional neural network with multi-attention46
Learning contextual representations with copula function for medical image segmentation46
Designing controllers for hand tremor suppression using model simplification46
White-light endoscopic colorectal lesion detection based on improved YOLOv746
A novel noninvasive method for dynamic cerebral autoregulation monitoring based on near-field coupling46
Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging46
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery45
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition45
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy45
Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection45
Sinusoidal model-based diagnosis of the common cold from the speech signal45
TS-TWC: A time series representation learning framework based on Time-Wavelet contrasting45
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder44
Choosing multichannel objective response detectors for multichannel auditory steady-state responses44
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning44
Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram44
Research on emotion recognition of bimodal bioelectrical features based on D-S evidence theory44
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under non-stationary head conditions44
A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds44
Analysis of atypical prosodic patterns in the speech of people with Down syndrome44
A novel robust Student’s t-based Granger causality for EEG based brain network analysis43
Analysis of time series of surface electromyography and accelerometry in dogs43
COVID-19 disease detection using attention based Bi-Directional capsule network model43
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors43
Enhancing spatial auditory attention decoding with wavelet-based prototype training43
DLT-Embryo: A Dual-branch Local feature fusion enhanced Transformer for Embryo multi-stage classification42
Graph denoising of impulsive EEG signals and the effect of their graph representation42
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images42
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. Co42
Automatic 2D/3D spine registration based on two-step transformer with semantic attention and adaptive multi-dimensional loss function42
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder42
Broad learning solution for rapid diagnosis of COVID-1942
Edge-guided and hierarchical aggregation network for robust medical image segmentation42
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length41
Usefulness of blinking duration variability (BDV) in discriminating emotional states41
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis41
Left atrial overload detection in ECG using frequency domain features with machine learning and deep learning algorithms41
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study41
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts41
An automatic method for microscopic diagnosis of diseases based on URCNN41
Effective use of prior information for high-performance embryo grading41
A synergistic framework for histopathologic cancer detection using Epicurve Search –PSB model with surrosec Optimizer41
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions41
Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer41
Preoperative path planning algorithm for lung puncture biopsy based on path constraint and multidimensional space distance optimization41
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis41
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy41
Exploring emotional experiences and dataset construction in the era of short videos based on physiological signals41
HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation40
Dual attention-guided and learnable spatial transformation data augmentation multi-modal unsupervised medical image segmentation40
CSNet: A deep learning approach for ECG compressed sensing40
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features40
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation40
A novel analytical method to measure intra-individual variability of steady-state evoked potentials; new insights into attention deficit40
A blood pressure estimation approach based on single-channel photoplethysmography differential features40
Improving intrusion detection in cloud-based healthcare using neural network40
Time-resolved EEG signal analysis for motor imagery activity recognition39
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals39
Localization of brain signals by alternating projection39
MIF-BTF-MRN: Medical image fusion based on the bilateral texture filter and transfer learning with the ResNet-101 network39
Remote photoplethysmography for heart rate measurement: A review39
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition39
Convolutional neural network-based fast seizure detection from video electroencephalograms39
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images39
Addressing smartphone mismatch in Parkinson’s disease detection aid systems based on speech39
Cross Pyramid Transformer makes U-net stronger in medical image segmentation39
Self-supervised inter–intra period-aware ECG representation learning for detecting atrial fibrillation39
An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network39
Application of novel DIRF feature selection algorithm for automated brain disease detection39
Multi-modal medical image fusion via multi-dictionary and truncated Huber filtering39
MRP-Net: Seizure detection method based on modified recurrence plot and additive attention convolution neural network39
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies38
A denoising performance comparison based on ECG Signal Decomposition and local means filtering38
Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation38
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks38
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals38
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation38
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