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 2021-09-01 to 2025-09-01.)
ArticleCitations
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy219
Domain-specific trained model to auto grade AV Nicking severity level176
General probability distribution model for wireless body sensors in the medical monitoring system174
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)162
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs161
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection161
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation153
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids152
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony145
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]144
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels137
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features135
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography128
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring126
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks121
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus118
A fusion algorithm based on composite decomposition for PET and MRI medical images114
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments112
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness108
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification107
A deep learning method for contactless emotion recognition from ballistocardiogram106
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification104
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation103
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter101
A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection99
Sleep position classification with a compact pressure textile sensor mattress using convolutional neural networks99
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels98
Edge device based efficient data collection in smart health monitoring system using wireless body area network98
Attention gated tensor neural network architectures for speech emotion recognition98
GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification95
An intelligent compression system for wireless capsule endoscopy images95
Efficient ROI-based compression of mammography images93
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images88
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity88
Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction88
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal87
DCentNet: Decentralized multistage biomedical signal classification using early exits86
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration84
Analyzing subcortical structures in Alzheimer's disease using ensemble learning84
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements83
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model83
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks82
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery80
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network80
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals80
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning79
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images79
Automatic detection of Alzheimer’s disease from EEG signals using hybrid PSO-GWO algorithm79
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain79
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology78
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band78
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms77
Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction76
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging76
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging76
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set76
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks75
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields74
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding73
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters72
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals72
Identification of blood loss based on multiple physiological parameters72
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects72
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy71
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity71
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation71
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture71
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features70
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure70
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks70
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing69
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images69
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model69
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling69
EEG-based emotion classification Model: Combined model with improved score level fusion68
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling68
An intelligent heart disease prediction system using hybrid deep dense Aquila network67
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait66
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes65
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm65
Modality encoded latent dataset for emotion recognition64
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis64
Weakly supervised object detection for automatic tooth-marked tongue recognition64
A general framework for the assessment of scatter correction techniques in digital mammography63
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation63
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments63
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection62
Global Partition with Local Enhancement network for multitask learning of malignant melanoma62
Width-wise vessel bifurcation for improved retinal vessel segmentation62
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation62
Gaussian regressed generative adversarial network based hermitian extreme gradient boosting for plant leaf disease detection61
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images61
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction61
Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction61
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]61
SRT: Improved transformer-based model for classification of 2D heartbeat images60
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm60
ECG denoising based on successive local filtering60
Research on the lateralization of brain functional complexity in mild cognitive impairment-Alzheimer’s disease progression based on multiscale lateralized brain entropy60
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification60
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation59
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images59
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans59
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal59
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM59
Information transfer rate in BCIs: Towards tightly integrated symbiosis59
EEG emotion recognition using attention-based convolutional transformer neural network58
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data58
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour57
An end-to-end model for ECG signals classification based on residual attention network57
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy57
Alzheimer’s disease classification using pre-trained deep networks57
Feature extraction for abnormality detection in capsule endoscopy images56
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis56
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion56
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network56
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities56
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network56
ECG-based expert-knowledge attention network to tachyarrhythmia recognition55
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection55
Deep learning based automatic seizure prediction with EEG time-frequency representation55
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images54
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals54
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton54
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images54
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images54
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator53
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation53
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback53
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction53
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution53
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images53
EEG-based visual stimuli classification via reusable LSTM53
Segmentation of patchy areas in biomedical images based on local edge density estimation52
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns52
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech52
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning52
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN52
Detection of Interictal epileptiform discharges with semi-supervised deep learning52
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination52
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model52
Efficient contact-based registration for minimally invasive anterior hip arthroplasty51
Denoising of ECG signals using weighted stationary wavelet total variation51
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification50
A novel noninvasive method for dynamic cerebral autoregulation monitoring based on near-field coupling50
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces50
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery50
Solving the inverse problem based on UPEMD for electrocardiographic imaging50
White-light endoscopic colorectal lesion detection based on improved YOLOv750
HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation49
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder49
Sinusoidal model-based diagnosis of the common cold from the speech signal49
Exploring emotional experiences and dataset construction in the era of short videos based on physiological signals49
Time-resolved EEG signal analysis for motor imagery activity recognition49
MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts49
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition49
An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network49
A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data49
Enhancing multiple sclerosis diagnosis and prognosis through a dual Patch-Wise CNN architecture49
Remote photoplethysmography for heart rate measurement: A review48
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images48
IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images47
Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state47
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis47
Improving pneumonia diagnosis with high-accuracy CNN-Based chest X-ray image classification and integrated gradient47
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length47
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing47
Cross Pyramid Transformer makes U-net stronger in medical image segmentation47
Enhancing spatial auditory attention decoding with wavelet-based prototype training47
Optimizing diabetic retinopathy detection with inception-V4 and dynamic version of snow leopard optimization algorithm46
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution46
COVID-19 disease detection using attention based Bi-Directional capsule network model46
Auditory attention decoding from electroencephalography based on long short-term memory networks46
Unsupervised metal artifacts reduction network for CT images based on efficient transformer45
SAR-CGAN: Improved generative adversarial network for EIT reconstruction of lung diseases45
TS-TWC: A time series representation learning framework based on Time-Wavelet contrasting45
MRI super-resolution reconstruction based on 3D dense connected convolutional autoencoders45
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation45
Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer45
Learning contextual representations with copula function for medical image segmentation45
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks44
Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection44
GLSNet: A Global Guided Local Feature Stepwise Aggregation Network for polyp segmentation44
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition44
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG44
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors44
Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI44
Preoperative path planning algorithm for lung puncture biopsy based on path constraint and multidimensional space distance optimization44
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection44
Symmetric deformable image pairwise registration by optimizing neural fields network architectures for guaranteeing transformations consistency44
Fine-grained interactive attention learning for semi-supervised white blood cell classification44
A time-frequency map generation network embedded with spectral self-attention for motor imagery classification43
Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram43
DLT-Embryo: A Dual-branch Local feature fusion enhanced Transformer for Embryo multi-stage classification43
FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks43
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under non-stationary head conditions43
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images43
Research on emotion recognition of bimodal bioelectrical features based on D-S evidence theory43
Analysis of time series of surface electromyography and accelerometry in dogs43
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder43
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
An automatic method for microscopic diagnosis of diseases based on URCNN42
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis42
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
Edge-guided and hierarchical aggregation network for robust medical image segmentation42
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy42
Automatic 2D/3D spine registration based on two-step transformer with semantic attention and adaptive multi-dimensional loss function42
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things42
MIF-BTF-MRN: Medical image fusion based on the bilateral texture filter and transfer learning with the ResNet-101 network42
Broad learning solution for rapid diagnosis of COVID-1942
Left atrial overload detection in ECG using frequency domain features with machine learning and deep learning algorithms42
MRP-Net: Seizure detection method based on modified recurrence plot and additive attention convolution neural network42
A blood pressure estimation approach based on single-channel photoplethysmography differential features42
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions42
Graph denoising of impulsive EEG signals and the effect of their graph representation41
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter41
A spatiotemporal symmetrical transformer structure for EEG emotion recognition41
EOG Artifacts Suppression From single channel EEG Signals by VME-GMETV model41
Multi-modal medical image fusion via multi-dictionary and truncated Huber filtering41
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images41
Learning discriminative functional connectivity networks for identifying Autism spectrum disorder41
Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG41
Deep BiLSTM neural network model for emotion detection using cross-dataset approach41
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study41
Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation40
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients40
Improving intrusion detection in cloud-based healthcare using neural network40
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning40
Localization of brain signals by alternating projection40
Application of novel DIRF feature selection algorithm for automated brain disease detection40
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals40
A novel analytical method to measure intra-individual variability of steady-state evoked potentials; new insights into attention deficit40
Effective use of prior information for high-performance embryo grading40
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation40
Automatic epileptic seizure detection approach based on multi-stage Quantized Kernel Least Mean Square filters40
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy40
Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis39
Elevated correlations in cardiac–neural dynamics: An impact of mantra meditation on stress alleviation39
SAStainDiff: Self-supervised stain normalization by stain augmentation using denoising diffusion probabilistic models39
Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation39
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies39
Supervised autoregressive eXogenous Networks with Fractional Grünwald–Letnikov finite differences: Tumor Evolution and Immune Responses under Therapeutic Influence fractals model39
Convolutional neural network-based fast seizure detection from video electroencephalograms39
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals39
SEER-net: Simple EEG-based Recognition network39
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks39
Dual attention-guided and learnable spatial transformation data augmentation multi-modal unsupervised medical image segmentation39
A coarse-to-fine full attention guided capsule network for medical image segmentation39
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia39
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