Biomedical Signal Processing and Control

Papers
(The H4-Index of Biomedical Signal Processing and Control is 68. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Patient's intention detection and control for sit-stand mechanism of an assistive device for paraplegics211
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging168
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging161
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy153
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding148
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness147
Domain-specific trained model to auto grade AV Nicking severity level144
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM143
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals139
A general framework for the assessment of scatter correction techniques in digital mammography133
General probability distribution model for wireless body sensors in the medical monitoring system129
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects127
Multi-objective advisory system for arrhytmia classification126
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments124
Theoretical analysis of the 12 min Cooper’s test to estimate the maximal oxygen uptake rate118
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation118
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity117
Modality encoded latent dataset for emotion recognition117
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes112
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)108
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy108
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing105
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels104
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model97
SRT: Improved transformer-based model for classification of 2D heartbeat images95
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain93
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments92
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs92
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection92
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy91
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation91
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids90
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling89
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band89
A switched-gain nonlinear observer for estimation of thoracoabdominal displacements and detection of asynchrony88
Impact of propofol general anesthesia on cardiovascular and cerebrovascular closed loop variability interactions87
A deep learning method for contactless emotion recognition from ballistocardiogram87
Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection86
The effect of groupness constraint on the sensitivity and specificity of canonical correlation analysis, a multi-modal anatomical and functional MRI study85
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels84
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]84
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification83
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection83
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features82
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography81
Detection of Interictal epileptiform discharges with semi-supervised deep learning81
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring79
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks78
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal77
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus77
Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns76
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms75
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]74
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification73
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery73
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis72
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience72
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter72
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation71
Width-wise vessel bifurcation for improved retinal vessel segmentation70
Attention gated tensor neural network architectures for speech emotion recognition70
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton70
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network69
Feature extraction for abnormality detection in capsule endoscopy images69
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters69
An intelligent compression system for wireless capsule endoscopy images69
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals69
MARGM: A multi-subjects adaptive region growing method for group fMRI data analysis68
Histopathological image classification based on cross-domain deep transferred feature fusion68
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network68
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection68
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm68
Identification of blood loss based on multiple physiological parameters68
0.14508509635925