Biomedical Signal Processing and Control

Papers
(The TQCC of Biomedical Signal Processing and Control is 12. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Multi-modal biological feature selection for Parkinson’s disease staging based on binary PSO with broad learning208
Improving deep learning based segmentation of scars using multi-view images165
Adaptive weighted total variation expansion and Gaussian curvature guided low-dose CT image denoising network151
Dual-decoder data decoupling training for semi-supervised medical image segmentation146
A chest imaging diagnosis report generation method based on dual-channel transmodal memory network144
A lightweight convolutional transformer neural network for EEG-based depression recognition143
A novel deep domain adaptation method based on three-way decisions for identifying autistic patients142
Research on δ-γ phase-amplitude coupling characteristics of motor imagery based on EEG140
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model133
Lightweight attention temporal convolutional network based on multi-scale feature fusion for respiratory prediction in tumor radiotherapy133
Deep learning-based CT image for pulmonary nodule classification with intrathoracic fat: A multicenter study131
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model129
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels125
Deep neural network model for diagnosing diabetic retinopathy detection: An efficient mechanism for diabetic management124
Overlapping microbubble localization based on multiscale statistical features for ultrasound super-resolution imaging123
Stability region derived by center of mass for older adults during trivial movements119
Local Pattern Transformation-Based convolutional neural network for sleep stage scoring118
Enhancement of artery visualization in contrast-enhanced cerebral MR angiography using generative neural networks114
Detection of mental stress using novel spatio-temporal distribution of brain activations114
Classify breast cancer pathological tissue images using multi-scale bar convolution pooling structure with patch attention114
Machine Learning and XAI approaches for Allergy Diagnosis113
Width-wise vessel bifurcation for improved retinal vessel segmentation110
A channel-mixing convolutional neural network for motor imagery EEG decoding and feature visualization106
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX104
Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images104
Heart rate measurement based on spatiotemporal features of facial key points102
Novel data fusion strategy for human gait analysis using multiple kinect sensors101
Automatic seizure detection based on Gray Level Co-occurrence Matrix of STFT imaged-EEG94
Linear block cipher and category based random opposition learning for secured electronic health record sharing92
Design a metamaterial based applicator for hyperthermia cancer treatment91
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis89
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing88
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach88
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm87
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method87
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging87
A deep dense residual network with reduced parameters for volumetric brain tissue segmentation from MR images86
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks86
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech85
Kinetic tremor analysis using wearable sensors and fuzzy inference systems in Parkinson's disease85
Cross-Image siamese graph convolutional network for Fine-Grained image retrieval in diabetic retinopathy84
Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-1983
Automated diagnosis of COVID-19 using radiological modalities and Artificial Intelligence functionalities: A retrospective study based on chest HRCT database82
Early stage tumor segmentation in breast MRI using shape enhanced U-Net82
Optimal administration strategy in chemotherapy regimens using multi-drug cell-cycle specific tumor growth models82
Diagnosis of mild Alzheimer's disease by EEG and ERP signals using linear and nonlinear classifiers82
Fully automated thyroid ultrasound screening utilizing multi-modality image and anatomical prior81
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy81
Domain-specific trained model to auto grade AV Nicking severity level81
A three-layer decomposition method based on structural texture perception for fusion of CT and MRI images80
Editorial Board80
Distance compensation-based dual adaptive artifact removal algorithm in microwave breast tumor imaging system78
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals78
What is EAMBES?78
Editorial for the VSI: Control of prostheses76
Editorial Board75
Automated cerebral microbleed detection using selective 3D gradient co-occurance matrix and convolutional neural network75
General probability distribution model for wireless body sensors in the medical monitoring system75
Integrated Spatio-Temporal Deep Clustering (ISTDC) for cognitive workload assessment74
Accurate method for sleep stages classification using discriminated features and single EEG channel71
Accuracy of point-of-care tele-ultrasonography for assisting ultrasound-naive resident doctors in detecting lower-limb deep venous thrombosis: A prospective controlled trial71
Deformable transformer for endoscopic video super-resolution70
Auditory stimulus reconstruction from ECoG with DNN and self-attention modules70
A general framework for the assessment of scatter correction techniques in digital mammography69
Hand bone extraction and segmentation based on a convolutional neural network69
Efficient ROI-based compression of mammography images69
Assessing articulatory perturbations during a sung vowel-matching exercise using articulography68
Rider Manta Ray Foraging Optimization-based Generative Adversarial Network and CNN feature for detecting glaucoma68
Optimal gene prioritization and disease prediction using knowledge based ontology structure68
A novel hyperbolic intuitionistic fuzzy divergence measure based mammogram enhancement for visual elucidation of breast lesions68
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM67
Cognitive assistant DeepNet model for detection of cardiac arrhythmia67
A complementary note for the analytical method to estimate individual attention fluctuation using steady-state evoked potentials67
Filtering strategies of electrocardiographic imaging signals for stratification of atrial fibrillation patients67
Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)67
Implementation of fuzzy associative memory toward optimizing a neural network model to predict total iron binding capacity66
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data66
Depth disentanglement strategy of latent space for medical image segmentation66
Singular Spectrum Analysis as a data-driven approach to the analysis of motor adaptation time series65
NB-SQI: A novel non-binary signal quality index for continuous blood pressure waveforms65
Editorial Board64
Deciphering simultaneous heart conditions with spectrogram and explainable-AI approach64
Editorial Board64
Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images64
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait64
Toward an automatic detection of cardiac structures in short and long axis views64
Editorial Board63
Multi-objective advisory system for arrhytmia classification63
Intracardiac ECG pulse localization using overlapping block sparse reconstruction63
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects63
Editorial Board62
Advances in biomedical signal processing for communication disorders61
Alzheimer ’s disease identification from 3D SPECT brain scans by variational analysis61
CycleFormer: Brain tissue segmentation in the presence of Multiple Sclerosis lesions and Intensity Non-Uniformity artifact61
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy61
A Heuristic-Concatenated Feature Classification Algorithm (H-CFCA) for autism and epileptic seizure detection60
Piecewise empirical mode Bayesian estimation – A new method to denoise electrooculograms60
Curve Fitting Based Minimum Norm Estimation (CFB-MNE) for motor unit spatial localization using high density surface electromyogram signals60
A method for eliminating the disturbance of pseudo-textural-direction in ultrasound image feature extraction60
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation59
Editorial Board59
Denoising of poisson-corrupted microscopic biopsy images using fourth-order partial differential equation with ant colony optimization58
Theoretical analysis of the 12 min Cooper’s test to estimate the maximal oxygen uptake rate58
Comparison of Mueller matrix differential decomposition and transformation58
Exosomal circ-CTNNB1 derived from colorectal cancer cells induces N2 polarization of neutrophils to promote colorectal cancer cell growth and immune escape58
Lyapunov based nonlinear controllers for the chemotherapy of brain tumor58
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments58
Editorial Board57
Comparison by multivariate auto-regressive method of seizure prediction for real patients and virtual patients57
Quantitative evaluation of segmentation accuracy of subsegmental infarcts using 2DSTE and synthetic ultrasonic data in a spheroidal model of the left ventricle57
Multi-label recognition of facial body constitution via MLP-like deep networks with non-equilibrium weight loss57
Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches57
Multi-task thyroid tumor segmentation based on the joint loss function56
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity56
Control strategy to enhance pulmonary vascular pulsatility for implantable cavopulmonary assist devices: A simulation study56
Spectrogram classification of patient chin electromyography based on deep learning: A novel method for accurate diagnosis obstructive sleep apnea56
CMLP-Net: A convolution-multilayer perceptron network for EEG-based emotion recognition55
Nonlinear directed information flow estimation for fNIRS brain network analysis based on the modified multivariate transfer entropy55
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus55
Fusion of electroencephalograms at different channels and different activities via multivariate quaternion valued singular spectrum analysis for intellectual and developmental disorder recognition55
IoT-based ECG monitoring for arrhythmia classification using Coyote Grey Wolf optimization-based deep learning CNN classifier55
Method for enhancing transmission image of breast obtained in visible and near-infrared bands54
Multi-target segmentation of pancreas and pancreatic tumor based on fusion of attention mechanism54
FCAN : Speech emotion recognition network based on focused contrastive learning54
Fusing enhanced Transformer and large kernel CNN for malignant thyroid nodule segmentation54
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data53
A bone segmentation method based on Multi-scale features fuse U2Net and improved dice loss in CT image process53
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images53
Automatic breast mass segmentation in ultrasound images with U-Net and resolution enhancement blocks53
Deep learning-based vein visualization and its mobile implementation52
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification52
Assessing hypoglycemia risk during hemodialysis using an explainable machine learning approach based on continuous glucose monitoring metrics52
Contrast-insensitive motion correction for MRI cardiac T1 mapping52
WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction52
A snake optimization algorithm-based feature selection framework for rapid detection of cardiovascular disease in its early stages51
Adversarial learning network for recovering rPPG signals from low-resolution images for remote heart rate measurement50
Classification of intervertebral disc using novel multi-branch convolutional residual network model50
Unveiling stimulus transduction artifacts in auditory steady-state response experiments: Characterization, risks, and mitigation strategies50
Windowed axial shuffle attention networks for medical image segmentation50
Innovative brain tumor detection: Stacked random support vector-based hybrid gazelle coati algorithm50
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction50
PSVT: Pyramid Shifted Window based Vision Transformer for cardiac image segmentation50
PDCA-Net: Parallel dual-channel attention network for polyp segmentation50
Online automatic detection of phrenic nerve activation during cryoablation procedure for atrial fibrillation treatment50
Multi-omics uncovers the potential functions of transcription factor Dp-1 in human digestive cancers49
TransNetV: An optimized hybrid model for enhanced colorectal cancer image classification49
ECG arrhythmias classification based on deep learning methods and transfer learning technique49
A novel multigranularity feature-selection method based on neighborhood mutual information and its application in autistic patient identification49
MorphAttnNet: An Attention-based morphology framework for lung cancer subtype classification49
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton49
Enhancing disease diagnosis accuracy and diversity through BA-TLBO optimized ensemble learning49
Designing GA based effective transmission strategies for intra-WBAN communication49
Ensemble multi-modal brain source localization using theory of evidence48
Iridology based human health conditions predictions with computer vision and deep learning48
ResBCU-Net: Deep learning approach for segmentation of skin images48
The effect of artifact rejection on the performance of a convolutional neural network based algorithm for binary EEG data classification48
Centerline-supervision multi-task learning network for coronary angiography segmentation48
SSAL-Net: Semi-supervised network integrating self-supervised adversarial learning for diagnosing subtypes of pulmonary nodules47
Schizophrenia classification and abnormalities reveal of brain region functional connection by deep-learning multiple sparsely connected network47
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution47
Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data47
A hyperdimensional framework: Unveiling the interplay of RBP and GSN within CNNs for ultra-precise brain tumor classification47
Robust estimation of channel similarity networks from epilepsy EEG data47
Auto-encoder and bidirectional long short-term memory based automated arrhythmia classification for ECG signal46
Combination of the CNN with an amended version of a cooking training-based optimizer for diagnosing anterior cruciate ligament tear46
Joint margin adaption and multiscale feature fusion for COVID-19 CT images segmentation46
Continuous estimation of upper limb joint angle from sEMG based on multiple decomposition feature and BiLSTM network46
Automatic segmentation of ultrasound images using SegNet and local Nakagami distribution fitting model46
Deep learning based fall detection using smartwatches for healthcare applications46
Artificial intelligence applications in the diagnosis of gallbladder neoplasms through ultrasound: A review46
RNLFNet: Residual non-local Fourier network for undersampled MRI reconstruction45
Transformers in medical image segmentation: A review45
A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation45
The ensemble multi-scale convolution neural network for visual target detection EEG-based brain-computer interfaces44
Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images44
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms44
Group ensemble learning enhances the accuracy and convenience of SSVEP-based BCIs via exploiting inter-subject information44
Photon-counting spectral CT reconstruction with sparse and double low-rank components fusion44
Deep belief network Assisted quadratic logit boost classifier for brain tumor detection using MR images44
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments44
A simple two-compartment model for analysis of feedback control of glucose regulation44
Pyramid-attentive GAN for multimodal brain image complementation in Alzheimer’s disease classification44
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images44
Anisotropic diffusion filter based fusion of NSST transformed medical images44
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields44
Handwritten signatures verification based on arm and hand muscles synergy43
Spectral F-wave index for automatic identification of atrial fibrillation in very short electrocardiograms43
Ensuring security of artificial pancreas device system using homomorphic encryption43
Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment43
SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer’s disease43
Deep learning based semantic segmentation and quantification for MRD biochip images43
Using an innovative method for breast cancer diagnosis based on Extreme Gradient Boost optimized by Simplified Memory Bounded A*42
Editorial Board42
A contrastive weakly supervised learning to characterize malignant prostate lesions in BP-MRI42
Retinal image registration using log-polar transform and robust description of bifurcation points42
Gannet devil optimization-based deep learning for skin lesion segmentation and identification42
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals41
Comparative study of predictors of hypotensive efficacy of laser peripheral iridotomy and lensectomy in patients with primary anterior chamber angle closure based on machine learning methods41
A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients41
Derived vectorcardiogram based automated detection of posterior myocardial infarction using FBSE-EWT technique41
Automatic segmentation of the brain stroke lesions from MR flair scans using improved U-net framework41
DS-Former: A dual-stream encoding-based transformer for 3D medical image segmentation41
Atrial fibrillation classification and detection from ECG recordings41
Graph network and symmetry analysis after combined XR and tDCS in stroke rehabilitation40
Histopathological image classification based on cross-domain deep transferred feature fusion40
Performance evaluation of multi-channel electroencephalogram signal (EEG) based time frequency analysis for human emotion recognition40
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation40
Leukemia Net: Integrating attention depth wise Separable network-aided stacked feature pooling with weighted recurrent neural network-based leukemia detection model40
Improvement of emotion classification performance using multi-resolution variational mode decomposition method40
MCGNet: Multi-level consistency guided polyp segmentation40
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning40
EEGAlzheimer’sNet: Development of transformer-based attention long short term memory network for detecting Alzheimer disease using EEG signal40
Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal40
TransPhys: Transformer-based unsupervised contrastive learning for remote heart rate measurement40
Seizure detection algorithm based on improved functional brain network structure feature extraction39
Long-range correlation analysis of high frequency prefrontal electroencephalogram oscillations for dynamic emotion recognition39
Multi-modal cardiac function signals classification algorithm based on improved D-S evidence theory39
A novel hybrid method for calculating the fetal heart rate from the non-invasive abdominal Electrocardiogram signal39
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience39
The unilateral upper limb classification from fMRI-weighted EEG signals using convolutional neural network39
Design and development of electronic stethoscope for early screening of valvular heart disease prediction39
Bi-smooth constraints for accelerated dynamic MRI with low-rank plus sparse tensor decomposition38
Electrocardiogram signal filtering using circulant singular spectrum analysis and cascaded Savitzky-Golay filter38
Archimedes optimization-based Elman Recurrent Neural Network for detection of post-traumatic stress disorder38
EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological images38
Improving the performance of multi-stage HER2 breast cancer detection in hematoxylin-eosin images based on ensemble deep learning38
Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement38
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images38
EffiCAT: A synergistic approach to skin disease classification through multi-dataset fusion and attention mechanisms38
Enhanced YOLOv8 with attention mechanisms for accurate detection of colorectal polyps38
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour38
Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory38
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels38
ET-UMAP integration feature for ECG biometrics using Stacking38
Explainable AI-based method for brain abnormality diagnostics using MRI38
AUDSER: Auto-detect and self-recovery reversible steganography algorithm for biological signals38
TLIR: Two-layer iterative refinement model for limited-angle CT reconstruction37
Improving human activity recognition via graph attention network with linear discriminant analysis and residual learning37
Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis37
Detection of microaneurysms in color fundus images based on local Fourier transform37
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification37
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities37
Modality encoded latent dataset for emotion recognition37
Detection and classification of long-latency own-name auditory evoked potential from electroencephalogram37
Study of heart-rate variability in a video task using Holo-Hilbert spectral analysis37
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy37
Screening of knee-joint vibroarthrographic signals using time and spectral domain features37
SSCK-Net: Spine segmentation in MRI based on cross attention and key-points recognition-assisted learner36
Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer’s disease36
Vibroarthrographic signals for the low-cost and computationally efficient classification of aging and healthy knees36
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