Rchr
J-GLOBAL ID:202101013772964054   Update date: Jul. 08, 2024

Rashed Essam

Rashed Essam
Affiliation and department:
Job title: Professor
Homepage URL  (2): https://u-hyogo.info/research/faculty/erashed/https://u-hyogo.info/en/research/faculty/erashed/
Research keywords  (5): Pattern Recognition ,  Neurostimulation ,  Machine Learning ,  Data Analysis ,  Medical Image Processing
Research theme for competitive and other funds  (5):
  • 2023 - 2027 Interactive medical image diagnosis with chatbot assistance
  • 2022 - 2025 Integrated deep learning model for personalized transcranial magnetic stimulation
  • 2023 - 2024 Transformer-based deep learning for rapid stroke diagnosis
  • 2020 - 2023 Effect of Micrometeorology on Human Thermoreguatory Response and its Modeling
  • 2010 - 2011 A novel cardiac CT imaging system with ultra-low dose and high image quality
Papers (98):
  • Walayat Hussain, Mohamed Mabrok, Honghao Gao, Fethi A. Rabhi, Essam A. Rashed. Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems. DIGITAL HEALTH. 2024. 10
  • Essam A. rashed. Electromagnetic brain stimulation: verification of deep learning technology. The 63rd Annual Conference of Japanese Society for Medical and Biological Engineering, Kagoshima, Japan 23-25 May 2024. 2024
  • H. Seshimo, M. al-Shatouri, E. A. Rashed. Segmentation of astrocytoma using mutual-attention multimodal MRI. The 63rd Annual Conference of Japanese Society for Medical and Biological Engineering, Kagoshima, Japan 23-25 May 2024. 2024
  • M. Nouman, M. Mabrok, E. A. Rashed. Transformer-based precision in 3D MRI stroke lesion segmentation. The 63rd Annual Conference of Japanese Society for Medical and Biological Engineering, Kagoshima, Japan 23-25 May 2024. 2024
  • A. Soliman, Y. Zafari-Ghadim, E. A. Rashed, M. Mabrok. Efficient attention-guided transformer for brain stroke segmentation. The 9th International Conference on Multimedia and Image Processing (ICMIP 2024), 20~22 Apr., Osaka, Japan. 2024
more...
MISC (2):
  • 工藤 博幸, ラシド イサム. 圧縮センシングを用いた少数方向投影データからのCT画像再構成 (特集 CT技術のブレイクスルー). 映像情報medical. 2011. 43. 13. 1093-1099,1054
  • 工藤 博幸, ラシド イサム. インテリアCTにおける画像再構成法の提案 (特集 CT技術の最前線--被ばく低減への試み). 映像情報medical. 2009. 41. 13. 1341-1347
Books (1):
  • COVID-19 and Environment: Impacts of a Global Pandemic,
    MDPI, Basel 2022 ISBN:9783036558417
Education (1):
  • 2007 - 2010 University of Tsukuba, Graduate School of Systems and Information Engineering Department of Computer Science Ph.D. (Eng.)
Professional career (1):
  • Ph.D. (University of Tsukuba)
Work history (8):
  • 2022/04 - 現在 University of Hyogo Graduate School of Information Science Professor
  • 2021/09 - 現在 Suez Canal University Department of Mathematics Professor [on sabbatical leave]
  • 2022/04 - 2027/03 Nagoya Institute of Technology Department of Electrical and Mechanical Engineering Visiting Professor
  • 2021/11 - 2022/03 Nagoya Institute of Technology Department of Electrical and Mechanical Engineering Professor (Specially appointed)
  • 2018/09 - 2021/10 Nagoya Institute of Technology Department of Electrical and Mechanical Engineering Associate Professor (Specially appointed)
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Committee career (2):
  • 2019/09 - 現在 IEEE Signal Processing Society IEEE SPS Computational Imaging Technical Committee (Affiliated Member)
  • 2019/08 - IEEE IEEE International Committee on Electromagnetic Safety (ICES)
Awards (17):
  • 2024/07 - University of Hyogo 2024 Outstanding Research Activity Award
  • 2024/04 - International Conference on Multimedia and Image Processing (ICMIP 2024) Best Paper Award
  • 2024/03 - International Journal of Environmental Research and Public Health Outstanding Special Issue Award COVID-19 and Environment: Impacts of a Global Pandemic
  • 2024/03 - 2024 Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (MEXT) Science and Technology Award (Development Category) Development of a system for predicting the number of new infectious disease cases and deaths
  • 2021/11 - Nagoya Institute of Technology Faculty Award for Excellence (For the achievements in prediction of new coronavirus transmission considering human flow and seasonality)
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Association Membership(s) (3):
IEEE (Senior Member) ,  IEEE Signal Processing Society ,  JSPS Alumni Association in Egypt (JSPSAAE)
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