Biomedical Signal Processing and Control

Papers
(The H4-Index of Biomedical Signal Processing and Control is 63. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
CG-Recognizer: A biosignal-based continuous gesture recognition system296
Implications of plantar static pressure distribution among bilateral flatfoot patients: An analytical case-control research191
Stability region derived by center of mass for older adults during trivial movements139
Automatic seizure detection based on Gray Level Co-occurrence Matrix of STFT imaged-EEG135
Local Pattern Transformation-Based convolutional neural network for sleep stage scoring134
Dysarthria severity assessment using squeeze-and-excitation networks127
Classify breast cancer pathological tissue images using multi-scale bar convolution pooling structure with patch attention126
Enhancement of artery visualization in contrast-enhanced cerebral MR angiography using generative neural networks125
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging125
An augmented Snake Optimizer for diseases and COVID-19 diagnosis120
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images118
EEG emotion recognition using attention-based convolutional transformer neural network117
Medical image fusion based on quasi-cross bilateral filtering115
Brain tumor segmentation using JGate-AttResUNet – A novel deep learning approach108
Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor104
An improved CNN-based thyroid nodule screening algorithm in ultrasound images103
Analyzing subcortical structures in Alzheimer's disease using ensemble learning102
Detection of mental stress using novel spatio-temporal distribution of brain activations102
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals100
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection99
An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm98
Machine Learning and XAI approaches for Allergy Diagnosis98
Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory94
An interpretable deep learning algorithm for dynamic early warning of posttraumatic hemorrhagic shock based on noninvasive parameter94
Reinforcement learning-based decision support system for COVID-1990
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis90
Recognition of driver’s mental workload based on physiological signals, a comparative study88
Width-wise vessel bifurcation for improved retinal vessel segmentation87
Brain tumor segmentation with corner attention and high-dimensional perceptual loss83
An improved method for soft tissue modeling81
Global and local constrained parallel MRI reconstruction by exploiting dual sparsity and self-consistency80
Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images80
A channel-mixing convolutional neural network for motor imagery EEG decoding and feature visualization80
A bone segmentation method based on Multi-scale features fuse U2Net and improved dice loss in CT image process79
CMF defects database: A craniomaxillofacial defects dataset and a data-driven repair method78
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX78
An Efficient PM - Multisampling Image Filtering with Enhanced CNN Architecture for Pneumonia Classfication76
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks76
Revolutionizing vascular health through the temporal convolutional transformer for drug screening and model evolution76
Heart rate measurement based on spatiotemporal features of facial key points76
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets75
Pancreatic cancer tumor analysis in CT images using patch-based multi-resolution convolutional neural network73
Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules73
EM-CSP: An efficient multiclass common spatial pattern feature method for speech imagery EEG signals recognition72
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images72
Automated diagnosis of COVID-19 using radiological modalities and Artificial Intelligence functionalities: A retrospective study based on chest HRCT database72
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy71
Networked information interactions in schizophrenia magnetoencephalograms based on permutation transfer entropy71
A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD)69
KochDet: BiFPN-based deep architecture for tuberculosis diagnosis69
Automatic detection of sleepiness-related symptoms and syndromes using voice and speech biomarkers69
Joint margin adaption and multiscale feature fusion for COVID-19 CT images segmentation69
A soft clustering approach for segmenting brain tumor in intuitionistic fuzzy environment68
Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement68
Transformer dense center network for liver tumor detection68
Fully automated thyroid ultrasound screening utilizing multi-modality image and anatomical prior67
Risk assessment of atherosclerotic cardiovascular disease based on feature selection of L1-CBFS67
Multi-target segmentation of pancreas and pancreatic tumor based on fusion of attention mechanism67
Domain-specific trained model to auto grade AV Nicking severity level66
Study on venture capital multi-attribute group decision-making based on improved Hamming-Hausdorff distance and weighted bidirectional projection66
Editorial Board64
A three-layer decomposition method based on structural texture perception for fusion of CT and MRI images64
A survey of feature detection methods for localisation of plain sections of axial brain magnetic resonance imaging63
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals63
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