OOIR: Observatory of International Research

Papers

(The H4-Index of Biocybernetics and Biomedical Engineering is 36. 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 2020-03-01 to 2024-03-01.)

Article	Citations
A deep learning approach to detect Covid-19 coronavirus with X-Ray images	203
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach	189
A review of fabrication polymer scaffolds for biomedical applications using additive manufacturing techniques	140
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier	120
A comparative analysis of signal processing and classification methods for different applications based on EEG signals	118
Comparison of different feature extraction methods for EEG-based emotion recognition	106
Detection of brain tumors from MRI images base on deep learning using hybrid model CNN and NADE	105
Biodegradable bone implants in orthopedic applications: a review	103
A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images	84
Optimization driven Deep Convolution Neural Network for brain tumor classification	81
Transfer learning techniques for medical image analysis: A review	79
Schizophrenia detection using MultivariateEmpirical Mode Decomposition and entropy measures from multichannel EEG signal	72
A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal	72
Modified U-Net architecture for semantic segmentation of diabetic retinopathy images	63
Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform	56
Epileptic seizure prediction using scalp electroencephalogram signals	55
A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings	54
Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers	49
A novel automation-assisted cervical cancer reading method based on convolutional neural network	49
Automated detection of COVID-19 from CT scan using convolutional neural network	46
SVIA dataset: A new dataset of microscopic videos and images for computer-aided sperm analysis	44
Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals	44
A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia	44
EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals	42
A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images	40

Parkinson disease detection using energy direction features based on EMD from voice signal	40
Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images	40
Multi-path convolutional neural network in fundus segmentation of blood vessels	39
FractalCovNet architecture for COVID-19 Chest X-ray image Classification and CT-scan image Segmentation	38
Spectral entropy and deep convolutional neural network for ECG beat classification	38
Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net	37
A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning	37
Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network	37
Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation	37
Blood glucose prediction model for type 1 diabetes based on artificial neural network with time-domain features	36
Diagnosis of Attention Deficit Hyperactivity Disorder with combined time and frequency features	36