most citedCorrelation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature and absolute humidity

131 citations · 324 across the 5 of their papers we have counts for

collaborators

10 papers

physics.med-ph202017 cited

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…

q-bio.PE2020131 cited

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…

q-bio.PE202099 cited

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…

cs.CV2020

Deep learning approach for breast cancer diagnosis

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. Conventional method for breast screening is x-ray mammography, which is know…

eess.IV2020

Neural networks approach for mammography diagnosis using wavelets features

Essam A. Rashed, and Mohamed G. Awad

A supervised diagnosis system for digital mammogram is developed. The diagnosis processes are done by transforming the data of the images into a feature vector using wavelets multi…

eess.IV202027 cited

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…