131 citations · 608 across the 15 of their papers we have counts for
15 papers
SHARM: Segmented Head Anatomical Reference Models
Essam A. Rashed, Mohammad al-Shatouri, Ilkka Laakso +1
Reliable segmentation of anatomical tissues of human head is a major step in several clinical applications such as brain mapping, surgery planning and associated computational simu…
Mobility-Dependent and Mobility-Compensated Effective Reproduction Number of COVID-19 Viral Variants: New Metric for Infectivity Evaluation
Sachiko Kodera, Essam A. Rashed, Akimasa Hirata
During epidemics, estimation of the effective reproduction number (ERN) associated with infectious disease is a challenging topic for policy development and medical resource manage…
Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan
Essam A. Rashed, Sachiko Kodera, Hidenobu Shirakami +3
Accurate forecasting of medical service requirements is an important big data problem that is crucial for resource management in critical times such as natural disasters and pandem…
Human Exposure to Radiofrequency Energy above 6 GHz: Review of Computational Dosimetry Studies
Akimasa Hirata, Sachiko Kodera, Kensuke Sasaki +5
International guidelines/standards for human protection from electromagnetic fields have been revised recently, especially for frequencies above 6 GHz where new wireless communicat…
Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents
Sachiko Kodera, Akimasa Hirata, Fumiaki Miura +5
Recent epidemiological studies have hypothesized that the prevalence of cortical cataracts is closely related to ultraviolet radiation. However, the prevalence of nuclear cataracts…
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES
Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata
In several diagnosis and therapy procedures based on electrostimulation effect, the internal physical quantity related to the stimulation is the induced electric field. To estimate…
Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature and absolute humidity
Sachiko Kodera, Essam A. Rashed, Akimasa Hirata
This study analyzed the morbidity and mortality rates of the COVID-19 pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily…
Influence of Absolute Humidity, Temperature and Population Density on COVID-19 Spread and Decay Durations: Multi-prefecture Study in Japan
Essam A. Rashed, Sachiko Kodera, Jose Gomez-Tames +1
This study analyzed the spread and decay durations of the COVID-19 pandemic in different prefectures of Japan. During the pandemic, affordable healthcare was widely available in Ja…
Assessment of absorbed power density and temperature rise for nonplanar body model under electromagnetic exposure above 6 GHz
Yinliang Diao, Essam A. Rashed, Akimasa Hirata
The averaged absorbed power density (APD) and temperature rise in body models with nonplanar surfaces were computed for electromagnetic exposure above 6 GHz. Different calculation…
Review on Biophysical Modelling and Simulation Studies for Transcranial Magnetic Stimulation
Jose Gomez-Tames, Ilkka Laakso, Akimasa Hirata
Transcranial magnetic stimulation (TMS) is a technique for noninvasively stimulating a brain area for therapeutic, rehabilitation treatments and neuroscience research. Despite our…
Development of accurate human head models for personalized electromagnetic dosimetry using deep learning
Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata
The development of personalized human head models from medical images has become an important topic in the electromagnetic dosimetry field, including the optimization of electrosti…
Effect of skin-to-skin contact on stimulation threshold and dosimetry
Essam A. Rashed, Yinliang Diao, Shota Tanaka +3
The human dosimetry for electromagnetic field exposure is an essential task to develop exposure guidelines/standards for human safety as well as product safety assessment. At frequ…
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation
Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata
Electro-stimulation or modulation of deep brain regions is commonly used in clinical procedures for the treatment of several nervous system disorders. In particular, transcranial d…
Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry
Essam A. Rashed, Yinliang Diao, Akimasa Hirata
Radio-frequency dosimetry is an important process in human safety and for compliance of related products. Recently, computational human models generated from medical images have of…
Deep learning-based development of personalized human head model with non-uniform conductivity for brain stimulation
Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata
Electromagnetic stimulation of the human brain is a key tool for the neurophysiological characterization and diagnosis of several neurological disorders. Transcranial magnetic stim…