Physical and Engineering Sciences in Medicine

Papers
(The H4-Index of Physical and Engineering Sciences in Medicine is 22. 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.)
ArticleCitations
Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors86
Improved U-Net architecture with VGG-16 for brain tumor segmentation69
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals61
Lung and colon cancer classification using medical imaging: a feature engineering approach56
Diabetic retinopathy classification based on multipath CNN and machine learning classifiers54
Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning38
An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis36
Automated measurement of hip–knee–ankle angle on the unilateral lower limb X-rays using deep learning31
Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network31
Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images30
Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology30
Multi-modality MRI for Alzheimer’s disease detection using deep learning29
Recognition of acute lymphoblastic leukemia and lymphocytes cell subtypes in microscopic images using random forest classifier29
A novel four-step feature selection technique for diabetic retinopathy grading27
Proposing a novel multi-instance learning model for tuberculosis recognition from chest X-ray images based on CNNs, complex networks and stacked ensemble26
Detection of focal and non-focal EEG signals using non-linear features derived from empirical wavelet transform rhythms25
COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model25
Arrhythmia detection and classification using ECG and PPG techniques: a review25
Automatic classification of schizophrenia patients using resting-state EEG signals24
Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier24
Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal24
The measurement of Cobb angle based on spine X-ray images using multi-scale convolutional neural network22
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