Biomedical Signal Processing and Control

Papers
(The H4-Index of Biomedical Signal Processing and Control is 74. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring282
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks228
Corrigendum to “An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition” [Biomed. Signal Process. Control 101 (2025) 107254]212
MFSleepNet: A multi-receptive field sleep networks for sleep stage classification205
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns186
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton185
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging182
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation161
Efficient ROI-based compression of mammography images157
Modelling and analysis of orthoses generated whole-body vertical vibrations impact on limb stability and compliant dynamics in a ramp gait155
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an “n-of-m” cochlear-implant strategy154
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging147
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images143
Decomposing photoplethysmogram waveforms into systolic and diastolic waves, with application to hyperbaric environments142
General probability distribution model for wireless body sensors in the medical monitoring system140
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding133
Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features129
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]129
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation129
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation124
Domain-specific trained model to auto grade AV Nicking severity level123
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals119
Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids118
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy116
Parkinson’s disease detection from voice signals using adaptive frequency attribute topology115
Molecular subtype classification of breast cancer in digital breast tomosynthesis using the cross-window Transformer114
A deep learning method for contactless emotion recognition from ballistocardiogram111
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network110
Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction109
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation108
Modality encoded latent dataset for emotion recognition108
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals105
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus102
The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters100
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain99
Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks99
Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs98
Identification of blood loss based on multiple physiological parameters95
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images95
Interpretable Coronary Heart Disease Syndrome Differentiation and Identification Based on Pulse Signal93
An end-to-end model for ECG signals classification based on residual attention network92
Segmentation of patchy areas in biomedical images based on local edge density estimation92
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction91
Global Partition with Local Enhancement network for multitask learning of malignant melanoma91
Weakly supervised object detection for automatic tooth-marked tongue recognition90
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity90
DCentNet: Decentralized multistage biomedical signal classification using early exits90
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning90
ECG-based expert-knowledge attention network to tachyarrhythmia recognition90
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network90
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features88
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks87
Pulse rate estimation from forehead photoplethysmograph signal using RLS adaptive filtering with dynamical reference signal86
RETRACTED: Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans84
SRT: Improved transformer-based model for classification of 2D heartbeat images83
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination83
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration82
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition81
Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model81
A fusion algorithm based on composite decomposition for PET and MRI medical images80
A novel approach to biomechanical modeling: CT image weight initialization and Physics Informed Neural Networks80
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images79
Analyzing subcortical structures in Alzheimer's disease using ensemble learning79
TSAA-Net: Triple-semantic-aware attention network for colorectal cancer grading from histology images79
Diagnosis of Parkinson’s disease using higher order statistical analysis of alpha and beta rhythms78
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals78
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields78
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band77
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture77
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis77
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model77
Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy76
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter76
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set76
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer’s disease classification74
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network74
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