Biomedical Signal Processing and Control

Papers
(The H4-Index of Biomedical Signal Processing and Control is 64. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study287
Deep learning for motor imagery EEG-based classification: A review239
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets197
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset191
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy139
Endoscope image mosaic based on pyramid ORB135
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images127
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion125
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images121
An improved method for soft tissue modeling120
ECG arrhythmia classification by using a recurrence plot and convolutional neural network118
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech116
Iterative reconstruction of low-dose CT based on differential sparse115
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression106
Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors104
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier102
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images100
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia98
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects98
Electroencephalography-based motor imagery classification using temporal convolutional network fusion97
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images97
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing97
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm96
Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism94
Transformers in medical image segmentation: A review93
Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters90
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network88
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies87
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces84
Review of challenges associated with the EEG artifact removal methods81
hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost80
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach80
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals78
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot78
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN76
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)76
Alzheimer’s disease classification using pre-trained deep networks76
Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training76
DCT & DWT based watermarking scheme for medical information security76
Hybrid deep neural network using transfer learning for EEG motor imagery decoding75
A smart ontology-based IoT framework for remote patient monitoring75
dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI74
Energy efficient ECG classification with spiking neural network74
Arrhythmia classification of LSTM autoencoder based on time series anomaly detection73
Deep learning based efficient epileptic seizure prediction with EEG channel optimization72
Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network72
Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review72
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images72
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection71
Multi-modal brain image fusion based on multi-level edge-preserving filtering71
Heart disease detection using deep learning methods from imbalanced ECG samples69
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification69
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data69
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation69
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region68
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform68
An Attention-based Bi-LSTM Method for Visual Object Classification via EEG68
A novel electrical impedance function to estimate central aortic blood pressure waveforms67
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images66
A robust deep learning approach for automatic classification of seizures against non-seizures66
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images66
Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images65
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis64
Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model64
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes64
0.4244110584259