Physical and Engineering Sciences in Medicine

Papers
(The H4-Index of Physical and Engineering Sciences in Medicine is 23. 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.)
ArticleCitations
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks1456
Truncated inception net: COVID-19 outbreak screening using chest X-rays183
Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors72
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals68
Improved U-Net architecture with VGG-16 for brain tumor segmentation47
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals44
Diabetic retinopathy classification based on multipath CNN and machine learning classifiers43
Major depressive disorder assessment via enhanced k-nearest neighbor method and EEG signals40
Cloud-based ECG monitoring using event-driven ECG acquisition and machine learning techniques39
Multi-class diagnosis of Alzheimer’s disease using cascaded three dimensional-convolutional neural network36
EEG-based deep learning model for the automatic detection of clinical depression35
Lung and colon cancer classification using medical imaging: a feature engineering approach34
Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary study34
Crosstalk in surface electromyogram: literature review and some insights32
Quasi-simultaneous 3D printing of muscle-, lung- and bone-equivalent media: a proof-of-concept study31
An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis30
Automated classification of diabetic retinopathy through reliable feature selection30
Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images28
A systematic review on design technology and application of polycentric prosthetic knee in amputee rehabilitation26
Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning26
Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network25
Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays24
Technique, radiation safety and image quality for chest X-ray imaging through glass and in mobile settings during the COVID-19 pandemic23
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