| Assessment of human exposure to electromagnetic fields: Review and future directions A Hirata, Y Diao, T Onishi, K Sasaki, S Ahn, D Colombi, V De Santis, ... IEEE Transactions on Electromagnetic Compatibility 63 (5), 1619-1630, 2021 | 165 | 2021 |
| Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity S Kodera, EA Rashed, A Hirata International Journal of Environmental Research and Public Health 17 (15), 5477, 2020 | 164 | 2020 |
| Influence of population density, temperature, and absolute humidity on spread and decay durations of COVID-19: A comparative study of scenarios in China, England, Germany, and … Y Diao, S Kodera, D Anzai, J Gomez-Tames, EA Rashed, A Hirata One Health 12, 100203, 2021 | 162 | 2021 |
| Image reconstruction for sparse-view CT and interior CT - introduction to compressed sensing and differentiated backprojection H Kudo, T Suzuki, EA Rashed Quantitative Imaging in Medicine and Surgery 3 (3), 147-161, 2013 | 150 | 2013 |
| Multiresolution mammogram analysis in multilevel decomposition EA Rashed, IA Ismail, SI Zaki Pattern Recognition Letters 28 (2), 286-292, 2007 | 135 | 2007 |
| Deep learning model for fully automated breast cancer detection system from thermograms EA Mohamed, EA Rashed, T Gaber, O Karam PloS one 17 (1), e0262349, 2022 | 129 | 2022 |
| Influence of Absolute Humidity, Temperature and Population Density on COVID-19 Spread and Decay Durations: Multi-prefecture Study in Japan EA Rashed, S Kodera, J Gomez-Tames, A Hirata International Journal of Environmental research and Public Health 17 (15), 5354, 2020 | 117 | 2020 |
| Measurement and image-based estimation of dielectric properties of biological tissues—past, present, and future— K Sasaki, E Porter, EA Rashed, L Farrugia, G Schmid Physics in Medicine & Biology 67 (14), 14TR01, 2022 | 115 | 2022 |
| Assessment of absorbed power density and temperature rise for nonplanar body model under electromagnetic exposure above 6 GHz Y Diao, EA Rashed, A Hirata Physics in Medicine & Biology 65 (22), 224001, 2020 | 59 | 2020 |
| Estimation of heat-related morbidity from weather data: A computational study in three prefectures of Japan over 2013–2018 S Kodera, T Nishimura, EA Rashed, K Hasegawa, I Takeuchi, R Egawa, ... Environment international 130, 104907, 2019 | 50 | 2019 |
| Deep Learning-Based Development of Personalized Human Head Model with Non-Uniform Conductivity for Brain Stimulation EA Rashed, J Gomez-Tames, A Hirata IEEE Transactions on Medical Imaging, 2020 | 49 | 2020 |
| One-Year Lesson: Machine Learning Prediction of COVID-19 Positive Cases with Meteorological Data and Mobility Estimate in Japan EA Rashed, A Hirata International Journal of Environmental Research and Public Health 18 (11), 5736, 2021 | 44 | 2021 |
| Deep learning approach for breast cancer diagnosis E Rashed, MSA El Seoud Proceedings of the 8th International Conference on Software and Information …, 2019 | 43 | 2019 |
| Statistical image reconstruction from limited projection data with intensity priors EA Rashed, H Kudo Physics in Medicine and Biology 57 (7), 2039, 2012 | 43 | 2012 |
| An improved equilibrium optimizer algorithm for features selection: Methods and analysis DA Elmanakhly, MM Saleh, EA Rashed IEEE Access 9, 120309-120327, 2021 | 42 | 2021 |
| A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms E A. Mohamed, T Gaber, O Karam, EA Rashed Plos one 17 (10), e0276523, 2022 | 40 | 2022 |
| COVID-19 forecasting using new viral variants and vaccination effectiveness models EA Rashed, S Kodera, A Hirata Computers in Biology and Medicine, 105986, 2022 | 38 | 2022 |
| Estimation of real-world vaccination effectiveness of mRNA COVID-19 vaccines against Delta and Omicron variants in Japan S Kodera, EA Rashed, A Hirata Vaccines 10 (3), 430, 2022 | 37 | 2022 |
| End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation EA Rashed, J Gomez-Tames, A Hirata Neural Networks 125, 233-244, 2020 | 35 | 2020 |
| Infectivity upsurge by COVID-19 viral variants in Japan: evidence from deep learning modeling EA Rashed, A Hirata International journal of environmental research and public health 18 (15), 7799, 2021 | 34 | 2021 |
Akimasa HirataDirector & Professor, Nagoya Institute of TechnologyVerified email at nitech.ac.jp
