Search Results for author: Essam A. Rashed

Found 9 papers, 5 papers with code

Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES

no code implementations25 Sep 2020 Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata

In brain, sensitivity to segmentation accuracy is relatively high in cerebrospinal fluid (CSF), moderate in gray matter (GM) and low in white matter for transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES).

Deep learning approach for breast cancer diagnosis

no code implementations10 Mar 2020 Essam A. Rashed, M. Samir Abou El Seoud

Breast cancer is one of the leading fatal disease worldwide with high risk control if early discovered.

Decision Making

Development of accurate human head models for personalized electromagnetic dosimetry using deep learning

1 code implementation21 Feb 2020 Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata

However, most studies have focused on the segmentation of brain tissue only and little attention has been paid to other tissues, which are considerably important for electromagnetic dosimetry.

End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation

1 code implementation13 Feb 2020 Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata

However, it is difficult to determine the amount and distribution of the electric field (EF) in the different brain regions due to anatomical complexity and high inter-subject variability.

Brain Segmentation Semantic Segmentation

Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry

1 code implementation4 Nov 2019 Essam A. Rashed, Yinliang Diao, Akimasa Hirata

The smooth distribution of the dielectric properties in head models, which is realized using a process without tissue segmentation, improves the smoothness of the specific absorption rate (SAR) distribution compared with that in the commonly used procedure.

Deep learning-based development of personalized human head model with non-uniform conductivity for brain stimulation

1 code implementation6 Oct 2019 Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata

This paper proposes a novel approach to the automatic estimation of electric conductivity in the human head for volume conductor models without anatomical segmentation.

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