Hanieh Arabian

ORCID: 0009-0003-0262-7659
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About
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Research Areas
  • Advanced Neural Network Applications
  • Advanced MRI Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Epilepsy research and treatment
  • Functional Brain Connectivity Studies
  • Neonatal and fetal brain pathology

University of Isfahan
2021

Magnetoencephalography is a brain imaging method with high temporal-spatial resolution, whose data quality reduced due to the failure of sensors. This study aimed reconstruct low-quality magnetoencephalography signals using surface reconstruction methods, partial differential equations algorithms, and finite element-based methods. To evaluate performance each method, R-square, root mean square error, signal-to-noise ratio were calculated. The relation between these criteria was checked...

10.18502/fbt.v11is1.16136 article EN cc-by-nc Frontiers in biomedical technologies 2024-07-27

Accurate segmentation of the hippocampus head and body from MR images is routinely performed to examine link between deformation neurological diseases, such as Alzheimer's epilepsy. State-of-the-art seminal methods (including segmentation) are based on deep learning algorithms. Most studies focused developing robust algorithms achieve satisfactory performance in segmentation. A critical aspect that has been overlooked these strategy adopted train when there two or more target structures. In...

10.1109/nss/mic44867.2021.9875838 article EN 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2021-10-16
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