International Journal for Numerical Methods in Biomedical Engineering

Papers
(The H4-Index of International Journal for Numerical Methods in Biomedical Engineering is 16. 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
Biomechanical modeling of novel high expansion auxetic skin grafts44
Automated generation of 0D and 1D reduced‐order models of patient‐specific blood flow43
Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function41
A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart37
Non‐Newtonian blood rheology impacts left atrial stasis in patient‐specific simulations29
Utilization of image interpolation and fusion in brain tumor segmentation23
Cerebrospinal fluid dynamics coupled to the global circulation in holistic setting: Mathematical models, numerical methods and applications23
A method for the automatic detection of myopia in Optos fundus images based on deep learning22
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning22
Patient‐specific computational modeling of endovascular aneurysm repair: State of the art and future directions21
Analysis of digitalized ECG signals based on artificial intelligence and spectral analysis methods specialized in ARVC20
Functional link convolutional neural network for the classification of diabetes mellitus19
Deep long and short term memory based Red Fox optimization algorithm for diabetic retinopathy detection and classification17
Isogeometric finite element‐based simulation of the aortic heart valve: Integration of neural network structural material model and structural tensor fiber architecture representations17
Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response16
Deep‐learning‐based seizure detection and prediction from electroencephalography signals16
A digital twin for simulating the vertebroplasty procedure and its impact on mechanical stability of vertebra in cancer patients16
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