- 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...
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...