Medical & Biological Engineering & Computing

Papers
(The H4-Index of Medical & Biological Engineering & Computing is 24. 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
Lung cancer histology classification from CT images based on radiomics and deep learning models88
Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification81
An efficient medical image encryption using hybrid DNA computing and chaos in transform domain79
Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification72
Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data68
InSiNet: a deep convolutional approach to skin cancer detection and segmentation54
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus49
Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks45
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets45
Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection41
The advances of topology optimization techniques in orthopedic implants: A review39
Electrothermal blood streaming conveying hybridized nanoparticles in a non-uniform endoscopic conduit36
A new preprocessing approach to improve the performance of CNN-based skin lesion classification36
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data36
Joint low-rank prior and difference of Gaussian filter for magnetic resonance image denoising36
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique35
Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture33
Automatic feature extraction and fusion recognition of motor imagery EEG using multilevel multiscale CNN30
Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques29
Novelty detection-based approach for Alzheimer’s disease and mild cognitive impairment diagnosis from EEG28
Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data27
Classification of rotator cuff tears in ultrasound images using deep learning models26
Effective recognition of human lower limb jump locomotion phases based on multi-sensor information fusion and machine learning26
Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study25
Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study24
A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images24
An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features24
Efficient analysis of COVID-19 clinical data using machine learning models24
CAD system for lung nodule detection using deep learning with CNN24
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