OOIR: Observatory of International Research

Papers

(The H4-Index of Biocybernetics and Biomedical Engineering is 33. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach	223
Transfer learning techniques for medical image analysis: A review	154
EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals	70
Epileptic seizure prediction using scalp electroencephalogram signals	63
A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings	61
Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers	58
The internet of medical things and artificial intelligence: trends, challenges, and opportunities	57
Diagnosis of Parkinson's disease based on SHAP value feature selection	55
Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization	54
SVIA dataset: A new dataset of microscopic videos and images for computer-aided sperm analysis	54
Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals	53
Automated detection of COVID-19 from CT scan using convolutional neural network	51
Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images	49
Detection of pneumonia using convolutional neural networks and deep learning	49
Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network	48
Parkinson disease detection using energy direction features based on EMD from voice signal	45
FractalCovNet architecture for COVID-19 Chest X-ray image Classification and CT-scan image Segmentation	45
A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images	45
Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model	44
Artificial Intelligence and Machine Learning in Emergency Medicine	44
A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning	43
Automated segmentation of optic disc and optic cup for glaucoma assessment using improved UNET++ architecture	42
Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG	40
Hand movement recognition from sEMG signals using Fourier decomposition method	39
Ocular artifact elimination from electroencephalography signals: A systematic review	38

A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction	38
An automated skin melanoma detection system with melanoma-index based on entropy features	38
Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis	37
An improved cardiac arrhythmia classification using an RR interval-based approach	37
End-to-end deep learning approach for Parkinson’s disease detection from speech signals	37
Development and testing of a wearable passive lower-limb support exoskeleton to support industrial workers	36
Breast cancer detection from histopathology images using modified residual neural networks	35
Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks	35
Detection of pseudo brain tumors via stacked LSTM neural networks using MR spectroscopy signals	33