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Publications

Books　【書籍】
  1. S. Kodera and E. A. Rashed (Eds.) COVID-19 and Environment: Impacts of a Global Pandemic, MDPI (Basel), 2022 [Open access] ✿
    ISBN 978-3-0365-5842-4 (Hbk); ISBN 978-3-0365-5841-7 (PDF) 
PEER-REVIEWED JOURNAL PUBLICATIONS 【 査読付き論文​】
  1. Y. Zafari-Ghadim, E. A. Rashed, A.Mohamed and M. Mabrok, "Transformer-based architectures for stroke segmentation: a review," Artificial Intelligence Review, vol. 57, Article no. 307, 2024 [DOI][Open access] (IF23=10.7)
  2. W. Hussain, M. Mabrok, H. Gao, F. A. Rabhi and E. A. Rashed, "Revolutionising healthcare with artificial intelligence: a bibliometric analysis of 40 years of progress in health systems," Digital Health, vol. 10, 2024 [DOI][PubMed][Open access] (IF23=2.9) ✿
  3. K. Sanjo, K. Hebiguchi, C. Tang, E. A. Rashed, S. Kodera, H. Togo and A. Hirata, "Sensitivity of Electrocardiogram on Electrode-Pair Locations for Wearable Devices: Computational Analysis of Amplitude and Waveform Distortion," Biosensors, vol. 14, pp. 153, 2024 [DOI][PubMed][open access] (IF23=4.9) ✿
  4. A. Hirata, M. Niitsu, C. R. Phang, S. Kodera, T. Kida, E. A. Rashed, M. Fukunaga, N. Sadato and T. Wasaka, "High-resolution EEG source localization in personalized segmentation-free head model with multi-dipole fitting," Physics in Medicine and Biology, vol. 69, pp. 055013, 2024 [DOI][PubMed][open access] (IF23=3.3)​​ ​✿
  5. N. A. Aboelenin, A. Elserafi, N. Zaki, E. A. Rashed and M. al-Shatouri, "Assessment of artificial intelligence-aided computed tomography in lung cancer screening," Egyptian Journal of Radiology and Nuclear Medicine, vol. 54, Article No. 74, 2023 [DOI] [Open access] (IF23=0.7) ✿
  6. Y. Diao, E. A. Rashed, L. Giaccone, I. Laakso, C. Li, R. Scorretti, Y. Sekiba, K. Yamazaki and A. Hirata, "Inter-comparison of the averaged induced electric field in learning-based human head models exposed to low-frequency magnetic field," IEEE Access, vol. 11, pp. 38739-38752, 2023 [DOI][Open access] (IF23=3.4) ✿
  7. S. Kodera, A. Takada, E. A. Rashed and A. Hirata, "Projection of COVID-19 Positive Cases Considering Hybrid Immunity: Case Study in Tokyo," Vaccines, vol. 11, pp. 633, 2023 [DOI][PubMed][open access] (IF23=5.2) ✿
  8. S. Kodera, K. Hikita, E. A. Rashed and A. Hirata, “The effects of time window averaged mobility on effective reproduction number of COVID-19 viral variants in urban cities,” Journal of Urban Health, vol. 100, pp. 29-39, 2023 [DOI][PubMed][open access] (IF23=4.3) ✿
  9. ​S. Kodera, Y. Niimi, E. A. Rashed, N. Yoshinaga, M. Toyoda and A. Hirata, "Estimation of mRNA COVID-19 vaccination effectiveness in Tokyo for Omicron variants BA.2 and BA.5 --Effect of social behavior--," Vaccines, vol. 10, pp. 1820, 2022 [DOI][PubMed][open access][preprint] (IF23=5.2) ✿
  10. E. A. Mohamed, T. Gaber, O. Karam and E. A. Rashed, "A novel CNN pooling layer for breast cancer segmentation and classification from thermograms," PLOS One, vol. 17, pp. e0276523, 2022 [DOI][PubMed][Open access] (IF23=2.9) ✿
  11. Y. Diao, E. A. Rashed and A. Hirata, "Induced electric field in learning-based head models with smooth conductivity for exposure to uniform low-frequency magnetic fields," IEEE Transactions on Electromagnetic Compatibility, vol. 64, pp. 1969-1977, 2022 [DOI][pdf] (IF23=2.0) ✿
  12. E. A. Rashed, S. Kodera and A. Hirata, "COVID-19 forecasting using new viral variants and vaccination effectiveness models," Computers in Biology and Medicine, vol. 149, pp. 105986, 2022 [DOI][PubMed][arXiv][pdf] (IF23=7.0)​​ ​✿
  13. K. Sasaki, E. Porter, E. A. Rashed, L. Farrugia and G. Schmid, "Measurement and image-based estimation of dielectric properties of biological tissues -past, present, and future-​," Physics in Medicine and Biology, vol. 67, pp. 14TR01, 2022 [DOI][PubMed][Open access] (IF23=3.3) ✿
  14. M. Selim, E. A. Rashed, M. A. Atiea and H. Kudo, "Sparsity-based method for ring artifact elimination in computed tomography," PLOS One, vol. 17, pp. e0268410, 2022 [DOI][PubMed][Open access] (IF23=2.9) ✿​
  15. A. Hirata, S. Kodera, Y. Diao and E. A. Rashed, "Did the Tokyo Olympic games enhance the transmission of COVID-19? Interpretation with machine learning," Computers in Biology and Medicine, vol. 146, pp. 105548, 2022 [DOI][PubMed][pdf] (IF23=7.0)​​ ​✿
  16. ​S. Kodera, E. A. Rashed and A. Hirata, "Estimation of Real-World Vaccination Effectiveness of mRNA COVID-19 Vaccines against Delta and Omicron Variants in Japan," Vaccines, vol. 10, pp. 430, 2022 [DOI][PubMed][Open access] (IF23=5.2) ✿
  17. D. A. Elmanakhly, M. Saleh, E. A. Rashed and M. Abdel-basset, "BinHOA: Efficient Binary Horse Herd optimization method for feature selection: analysis and validations," IEEE Access, vol. 10, pp. 26795-26816, 2022 [DOI][Open access] (IF23=3.4) ✿
  18. E. A. Mohamed, E. A. Rashed, T. Gaber and O. Karam, "Deep learning model for fully automated breast cancer detection system from thermograms," PLOS One, vol. 17, pp. e0262349, 2022 [DOI][PubMed][Open access] (IF23=2.9) ✿
  19. ​N. Reda, A. Hamdy and E. A. Rashed, "Multi-objective test suite reduction," Intelligent Automation & Soft Computing, vol. 31, pp. 781-797, 2022 [DOI][Open access] (IF22=2.0) ✿​
  20. A. Hirata, Y. Diao, T. Onishi, K. Sasaki, S. Ahn, D. Colombi, V. De Santis, I. Laakso, L. Giaccone, W. Joseph, E. A. Rashed, W. Kainz and J. Chen, "Assessment of human exposure to electromagnetic fields: review and future directions," IEEE Transactions on Electromagnetic Compatibility, vol. 63, pp. 1619-1630, 2021 [DOI][pdf] (IF23=2.0) ✿
  21. D. A. Elmanakhly, M. Saleh and E. A. Rashed, "An improved equilibrium optimizer algorithm for features selection: methods and analysis," IEEE Access, vol. 9, pp. 120309-120327, 2021 [DOI][Open access] (IF23=3.4) ✿
  22. T. Nishimura, E. A. Rashed, S. Kodera, H. Shirakami, R. Kawaguchi, K. Watanabe, M. Nemoto and A. Hirata, "Social implementation and intervention with estimated morbidity of heat-related illnesses from weather data: A case study from Nagoya City, Japan," Sustainable Cities and Society, vol. 47, pp. 103203, 2021 [DOI][pdf] (IF23=10.5) ✿
  23. E. A. Rashed and A. Hirata, "Infectivity upsurge by COVID-19 viral variants in Japan: evidence from a deep learning modeling," International Journal of Environmental Research and Public Health, vol. 18, pp. 7799, 2021 [DOI][PubMed][Open access] (IF21=4.614) ✿
  24. 🏆 E. A. Rashed and A. Hirata, "One-year lesson: Machine learning prediction of COVID-19 positive cases with meteorological data and mobility estimate in Japan," International Journal of Environmental Research and Public Health, vol. 18, pp. 5736, 2021 [DOI][PubMed][Open access] (IF21=4.614) ✿ (Editor's Choice Article)
  25. Y. Nakano, E. A. Rashed, T. Nakane, I. Laakso and A. Hirata, "ECG localization method based on volume conductor model and Kalman filtering," Sensors, vol. 21, pp. 4275, 2021 [DOI][PubMed][Open access] (IF23=3.4) ✿
  26. E. A. Rashed, S. Kodera, H. Shirakami, R. Kawaguchi, K. Watanabe and A. Hirata, "Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan," Journal of Biomedical Informatics, vol. 117, pp. 103743, 2021 [DOI][PubMed][arXiv][pdf] (IF23=4.0) ✿
  27. T. Moridera, E. A. Rashed, S. Mizutani and A. Hirata, "High-resolution EEG source localization in segmentation-free head models based on finite-difference method and matching pursuit algorithm," Frontiers in Neuroscience, vol. 15, Article. 695668, 2021 [DOI][PubMed][Open access] (IF23=3.2) ✿
  28. E. A. Rashed, J. Gomez-Tames and A. Hirata​, "Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES," Physics in Medicine and Biology, vol. 66, pp. 064002, 2021 [DOI][PubMed][arXiv]​[pdf] (IF23=3.3) ​✿
  29. 🏆 Y. Diao, S. Kodera, D. Anzai, J. Gomez-Tames, E. A. Rashed and A. Hirata, "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 Japan," One Health, vol. 12, 100203, 2021 [DOI][PubMed][Open access] (IF23=4.1)​​ ✿ (Highly cited paper, Clarivate Web of Science) (Listed in the top cited articles published in the past 3 years, One Health, June 2023)
  30. N. Faisal, A. Hamdy and E. A. Rashed, "Search-based regression testing optimization," International Journal of Open Source Software and Processes, vol. 12, Issue 2, Article 1 (20 pages), 2021 [DOI][pdf] (CiteScore22=1.9)  ​✿​​​
  31. T. Murakawa, Y. Diao, E. A. Rashed, S. Kodera, Y. Tanaka, Y. Kamimura, S. Kitamura, S. Uehara, Y. Otaka and A. Hirata, "Evaluation of SAR and temperature rise in human hand due to contact current from 100 kHz to 100 MHz," IEEE Access, vol. 8, pp. 200995-201004, 2020 [DOI][Open access] (IF23=3.4) ✿
  32. Y. Diao, E. A. Rashed and A. Hirata, "Assessment of absorbed power density and temperature rise for nonplanar body model under electromagnetic exposure above 6 GHz," Physics in Medicine and Biology, vol. 65, pp. 224001, 2020 [DOI][PubMed][arXiv]​[pdf] (IF23=3.3) ​✿
  33. E. A. Rashed, Y. Diao, S. Tanaka, T. Sakai, J. Gomez-Tames and A. Hirata, "Effect of skin-to-skin contact on stimulation threshold and dosimetry," IEEE Transactions on Electromagnetic Compatibility, vol. 62, pp. 2704-2713, 2020 [DOI][arXiv][pdf] (IF23=2.0) ​✿
  34. S. Kodera, A. Hirata, F. Miura, E. A. Rashed, N. Hatsusaka, N. Yamamoto, E. Kubo and H. Sasaki, "Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents," Computers in Biology and Medicine, vol. 126, pp. 104009, 2020 [DOI][PubMed][arXiv][pdf] (IF23=7.0)​​ ​✿
  35. E. A. Rashed, S. Kodera, J. Gomez-Tames and A. Hirata, "Influence of absolute humidity, temperature and population density on COVID-19 spread and decay durations: multi-prefecture study in Japan," International Journal of Environmental Research and Public Health, vol. 17, pp. 5354, 2020 [DOI][PubMed][Open access] (IF21=4.614) ✿
  36. Y. Diao, E. A. Rashed and A. Hirata, "Large-scale analysis of the head proximity effects on antenna performance using machine learning based models," IEEE Access, vol. 8, pp. 154060-154071, 2020 [DOI][Open access] (IF23=3.4) ✿
  37. E. A. Rashed, J. Gomez-Tames and A. Hirata, "End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation," Neural Networks, vol. 125, pp. 233-244, 2020 [DOI][PubMed][arXiv][pdf] (IF23=6.0) ✿
  38. S. Kodera, E. A. Rashed and A. Hirata, "Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature, and absolute humidity," International Journal of Environmental Research and Public Health, vol. 17, pp. 5477, 2020 [DOI][PubMed][Open access] (IF21=4.614) ✿​
  39. ​E. A. Rashed, Y. Diao and A. Hirata, "Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry," Physics in Medicine and Biology, vol. 65, pp. 065001, 2020 [DOI][PubMed][arXiv]​[pdf] (IF23=3.3) ​✿
  40. E. A. Rashed, J. Gomez-Tames and A. Hirata, "Deep learning-based development of personalized human head model with non-uniform conductivity for brain stimulation," IEEE Transactions on Medical Imaging, vol. 39, pp. 2351-2362, 2020 [DOI][PubMed][arXiv][pdf] (IF23=8.9) ✿
  41. Y. Diao, J. Gomez-Tames, E. A. Rashed, R. Kavet and A. Hirata, "Spatial averaging schemes of in situ electric field for low-frequency magnetic field exposures," IEEE Access, vol. 7, pp. 184320-184331, 2019 [DOI][open access] (IF23=3.4) ✿
  42. E. A. Rashed, J. Gomez-Tames and A. Hirata, "Development of accurate human head models for personalized electromagnetic dosimetry using deep learning," NeuroImage, vol. 202, pp. 116132, 2019 [DOI][PubMed][arXiv][pdf] (IF23=4.7) ✿
  43. E. A. Rashed, T. Sakai, J. Gomez-Tames and A. Hirata, "Brain AI: Deep Learning for Brain Stimulation," IEEE Pulse, vol. 10, pp. 3-5, 2019 [DOI][PubMed][open access] (IF23=0.3) (Cover Story) ✿
  44. S. Kodera, T. Nishimura, E. A. Rashed, K. Hasegawa, I. Takeuchi, R. Egawa and A. Hirata, "Estimation of heat-related morbidity from weather data: A computational study in three prefectures of Japan from 2013-2018," Environment International, vol. 130, pp. 104907, 2019 [DOI][PubMed][open access] (IF23=10.3) ✿
  45. ​E. A. Rashed, J. Gomez-Tames and A. Hirata, "Human head skin thickness modeling for electromagnetic dosimetry," IEEE Access, vol. 7, pp. 46176-46186, 2019 [DOI][open access] (IF23=3.4) ✿
  46. E. A. Toraih, H. Y. Abdallah, E. A. Rashed, A. El-Wazir, M. A. Tantawy and M. S. Fawzy, "Comprehensive data analysis for development of custom qRT-PCR miRNA assay for glioblastoma: a prevalidation study," Epigenomics, vol. 11, pp. 367-380, 2019 [DOI][PubMed][pdf] (IF22=3.8) ​✿
  47. S. A. El-Seoud, A. S. Mady and E. A. Rashed, "An interactive mixed reality ray tracing rendering mobile application of medical data in minimally invasive surgeries," Int. J. of Interactive Mobile Technologies​, vol. 13, pp. 29-39, 2019 [DOI][open access]​ (CiteScore22=4.2) ✿
  48. M. Rashed and E. A. Rashed, "Double-sided sliding-paraboloid (DSSP): a new tool for preprocessing GPR data," Computers & Geosciences, vol. 102, pp. 12-21, 2017 [DOI][pdf] (IF23=4.2) ✿
  49. E. A. Rashed and H. Kudo, "Probabilistic atlas prior for CT image reconstruction," Computer Methods and Programs in Biomedicine, vol. 128, pp. 119-136, 2016 [DOI][PubMed][pdf] (IF23=4.9) ✿
  50. E. A. Rashed, "GPR background removal using directional total variation minimisation approach," Journal of Geophysics and Engineering, vol. 12, pp. 897-908, 2015 [DOI][open access] (IF23=1.6) ✿
  51. E. A. Rashed, M. al-Shatouri and H. Kudo, "Sparsity-constrained three-dimensional image reconstruction for C-arm angiography," Computers in Biology and Medicine, vol. 62, pp. 141-154, 2015 [DOI][PubMed][pdf] (IF23=7.0) ✿
  52. H. Kudo, T. Suzuki and E. A. Rashed, "Image reconstruction for sparse-view CT and interior CT - introduction to compressed sensing and differentiated backprojection," Quantitative Imaging in Medicine and Surgery, vol. 3, pp. 147-161, 2013 [DOI][PubMed][open access] (IF23=2.9) (Cover Story) ✿
  53. E. A. Rashed and H. Kudo, "Towards high-resolution synchrotron radiation imaging with statistical iterative reconstruction," Journal of Synchrotron Radiation, vol. 20, pp. 116-124, 2013 [DOI][PubMed][pdf] (IF23=2.4) ✿
  54. E. A. Rashed and H. Kudo, "Overview of compressed sensing approach to CT image reconstruction," Medical Imaging Technology, vol. 31, pp. 9-14, 2013 [DOI][pdf] ✿
  55. E. A. Rashed and H. Kudo, "Statistical image reconstruction from limited projection data with intensity priors," Physics in Medicine and Biology, vol. 57, pp. 2039-2061, 2012 [DOI][PubMed][pdf] (IF23=3.3) ✿
  56. E. A. Rashed, H. Kudo and F. Noo, "Iterative region-of-interest reconstruction from truncated CT projection data under blind object support," Medical Imaging Technology, vol. 27, pp. 321-331, 2009 [DOI][pdf] ✿
  57. E. A. Rashed and H. Kudo, "Intensity-based Bayesian framework for image reconstruction from sparse projection data," Medical Imaging Technology, vol. 27, pp. 243-251, 2009 [DOI][pdf] ✿
  58. E. A. Rashed, I. A. Ismail and S. I. Zaki, "Multiresolution mammogram analysis in multilevel decomposition," Pattern Recognition Letters, vol. 28, pp. 286-292, 2007 [DOI][pdf] (IF23=3.9) ✿​
CONFERENCE PUBLICATIONS　【国際会議論文】
  1. M. Nouman, G. Khoriba and E. A. Rashed and M. Bekhit, "Rethinking MedSAM: Performance Discrepancies in Clinical Applications," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 20-23 Nov. 2024 (Scheduled)
  2. H. Holiel, A. El-Beheiry and E. A. Rashed, "Retinal Arteries and Veins Semantic Segmentation Using Modified U-Net Architecture" 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 20-23 Nov. 2024 (Scheduled)
  3. M. Mabrok, Y. Zafari-Ghadim, M. Mabrok and E. A. Rashed, "On the Challenges and Perspectives of Stroke Segmentation using AI," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 20-23 Nov. 2024 (Scheduled)
  4. E. A. Rashed and M. Bekhit, "Foundation Models in Medical Image Analysis: Overview and Prospects," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 20-23 Nov. 2024 (Scheduled)
  5. M. A. Yousef and E. A. Rashed, "SliceInsightNet: Advanced Hybrid Image Segmentation for Spine Annotation in MRI," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 20-23 Nov. 2024 (Scheduled)​
  6. E. A. Rashed, H. Seshimo, M. Nouman and M. al-Shatouri, "BinSyn: Personalized MRI synthesis from binary anatomical maps," 27th Meeting on Image Recognition and Understanding (MIRU2024), Kumamoto, Japan 6-9 Aug. 2024
  7. M. Nouman, M. Mabrok and E. A. Rashed, "Neuro-TransUNet: A comprehensive transformer-based architecture for precise segmentation of stroke lesions in 3D MRI," The 9th International Conference on Multimedia and Image Processing (ICMIP 2024), 20~22 Apr. 2024, Osaka, Japan [DOI]
  8. A. T. Salah, G. Khoriba and E. A. Rashed, "Segmentation of retinal arteries and veins using deep learning with limited training data," The 9th International Conference on Multimedia and Image Processing (ICMIP 2024), 20~22 Apr. 2024, Osaka, Japan [DOI]
  9. 🏆 A. Soliman, Y. Zafari-Ghadim and E. A. Rashed and M. Mabrok, "Efficient attention-guided transformer for brain stroke segmentation," The 9th International Conference on Multimedia and Image Processing (ICMIP 2024), 20~22 Apr. 2024, Osaka, Japan [DOI] (Best Paper Award)
  10. M. Nouman, M. Mabrok and 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
  11. H. Seshimo, M. al-Shatouri and 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
  12. N. Fisal, A. Hamdy and E. A. Rashed, "Adaptive Weighted Sum Bi-Objective Bat for Regression Testing Optimization," Lecture Notes in Networks and Systems, Vol. 524, pp. 486-495, 2023 (19th International Conference on remote Engineering and Virtual Instrumentation (REV2022), Cairo, Egypt, Mar. 2022)[DOI][pdf] ✿
  13. K. Sanjo, E. A. Rashed and A. Hirata, "Individual variation of cardiac potential based on electric field analysis," BioEM2022, Nagoya, Japan, 19-24 June 2022 (Poster presentation)
  14. S. Kodera, E. A. Rashed and A. Hirata, "Evaluation of temperature rise using the human models with non-uniform thermal parameters," BioEM2022, Nagoya, Japan, 19-24 June 2022 (Poster presentation)
  15. M. Selim, E. A. Rashed, M. Atiea and H. Kudo, "Ring artifacts elimination method in computed tomography using sparsity-induced norms," 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2021), Yokohama, Japan, 2021 [DOI][pdf]
  16. ​Y. Nakano, E. A. Rashed, I. Laakso and A. Hirata, "Localization of cardiac source based on lead field matrix and filtering," BioEM2021, Ghent, Belgium, 29 Sept. 2021
  17. E. A. Rashed, J. Gomez-Tames and A. Hirata, "Generation of head models for brain stimulation using deep convolution networks," IEEE International Conference on Image Processing (ICIP2019), Taipei, Taiwan, Sept. 2019 [DOI][pdf] ✿
  18. T. Kamiya, Y. Murata, T. Nishimura, S. Kodera, T. Ito, E. A. Rashed and A. Hirata, "Estimation of Heat Stroke Patients Based on Quantities Computed with Physical Simulation and Machine Learning," International Symposium on Electromagnetic Compatibility (EMC2019), Sapporo, Japan, June 2019
  19. 🏆 J. Gomez-Tames, E. A. Rashed, A. Hirata, T. Tarnaud, E. Tanghe, T. V. de Steene, L. Martens and W. Joseph "Setting Reference Level in Human Safety Guidelines via Nerve Activation Intercomparison at IF,"  International Symposium on Electromagnetic Compatibility (EMC2019), pp. 162-165, Sapporo, Japan, June 2019 [DOI][pdf] ✿ (Excellent Paper Award)
  20. E. A. Rashed and S. El-Seoud, "Deep Learning approach for breast cancer diagnosis," The 8th IEEE International Conference on Software and Information Engineering (ICSIE 2019), Cairo, Egypt, Apr. 2019 [DOI][pdf] ✿
  21. 🏆 M. Selim, E. A. Rashed, M. A. Atiea and H. Kudo "Image Reconstruction using Self Prior Information for Sparse-View Computed Tomography," Cairo International Biomedical Engineering Conference 2018 (CIBEC'18), Cairo, Egypt, Dec. 2018 [DOI][pdf] ✿ (Best Student Paper Award)
  22. E. A. Rashed, H. Kudo and A. Maier, "Image Reconstruction with Variational Networks: Application to Synchrotron Radiation Imaging," 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2018), Sydney, Australia, Nov. 2018 [DOI][pdf] ✿
  23. ​S. El-Seoud, A. S. Mady and E. A. Rashed, “An interactive mixed reality imaging system for minimally invasive surgeries," The 7th IEEE International Conference on Software and Information Engineering (ICSIE 2018), Cairo, Egypt, May. 2018 [DOI][pdf] ✿
  24. R. Rabie, M. M. Eltoukhy, M. al-Shatouri and E. A. Rashed, “Computer Aided Diagnosis System for Liver Cirrhosis Based on Ultrasound images," The 7th IEEE International Conference on Software and Information Engineering (ICSIE 2018), Cairo, Egypt, May. 2018 [DOI][pdf] ✿
  25. H. A. Elyamani, S. El-Seoud and E. A. Rashed, “Image denoising technique for CT dose modulation," The 7th IEEE International Conference on Software and Information Engineering (ICSIE 2018), Cairo, Egypt, May. 2018 [DOI][pdf] ✿
  26. ​H. A. Elyamani, S. A. El-Seoud, H. Kudo and E. A. Rashed, "Adaptive image denoising approach for low-dose CT," The 12th IEEE International Conference on Computer Engineering and Systems (ICCES 2017), Cairo, Egypt, Dec. 2017 [DOI][pdf] ✿
  27. E. A. Rashed and S. A. El-Seoud, "An interactive augmented reality imaging system for minimally invasive orthopedic surgery," International Conference on Knowledge Engineering and Applications (ICKEA2017), Imperial College London, London, UK, Oct. 2017 [DOI][pdf] ✿
  28. J. Dong, H. Kudo, E. A. Rashed and R. Ueda, "Compressed Sensing of Sparsity-constrained Total Variation Minimization for CT Image Reconstruction," SPIE Medical Imaging 2017, Paper No. 10132-111, Orlando, FL, USA, 2017 [DOI][pdf] ✿
  29. E. A. Mohamed and E. A. Rashed, "Blood vessels reconstruction in CT with shape prior approach," Cairo International Biomedical Engineering Conference (CIBEC2016), Dec. 2016, Cairo, Egypt [DOI][pdf] ✿
  30. E. A. Rashed and H. Kudo, "Atlas-based image reconstruction for breast CT using non-isocenteric C-arm scanner," 2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2016), Strasbourg, France, 2016 [DOI][pdf] ✿
  31. E. A. Rashed, M. al-Shatouri, M. Selim and H. Kudo, "Needle Detection in Interventional Pain Management With 3D Image Reconstruction," 2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2016), Strasbourg, France, 2016 [DOI][pdf] ✿
  32. M. Selim, E. A. Rashed and H. Kudo, "Atlas Based Interior Tomography," 2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2016), Strasbourg, France, 2016 [DOI][pdf] ✿
  33. E. A. Mohamed and E. A. Rashed, "Three-Dimensional Blood Vessels Detection from Small Number of Views CT Reconstruction," 2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2016), Strasbourg, France, 2016 [DOI][pdf] ✿
  34. 🏆 M. Selim, E. A. Rashed and H. Kudo, "Low-dose multiphase abdominal CT reconstruction with phase-induced swap prior," SPIE Optical Engineering + Applications (Development in X-ray Tomography), Paper No. 9967-60, San Diego, CA, USA, 2016 [DOI] (Outstanding Poster Award)
  35. D. A. Elmanakhly, A. Atia, E. A. Rashed and M.-S. M. Mostafa, "Interactive gestures for liver angiography operation," HCI International 2016 (HIC2016), July 2016, Paper No. 1304, Toronto, Canada LNCS (Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 9745, pp. 409-421, 2016 [doi][pdf] ✿
  36. M. Selim, H. Kudo and E. A. Rashed, "Low-Dose CT Image Reconstruction Method With Probabilistic Atlas Prior," 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2015), Paper No. M3B2-8, San Diego, CA, USA, 2015 [DOI][pdf] ✿
  37. A. Moataz, A. Soliman, A. M. Ghanem, M. al-Shatouri, A. Atia and E. A. Rashed, "Three-Dimensional Angiography Using Mobile C-Arm with IMU Sensor Attached: Initial Study," 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2015), Paper No. M5BP-123, San Diego, CA, USA, 2015 [DOI][pdf] ✿
  38. M. Selim, M. al-Shatouri, H. Kudo and E. A. Rashed, "Compressed-sensing-based three-dimensional image reconstruction algorithm for C-arm vascular imaging," Cairo International Biomedical Engineering Conference (CIBEC2014), Dec. 2014, Cairo, Egypt [DOI][pdf] ✿
  39. H. Kudo, E. A. Rashed, H. Oomori, T. Kodera and T. Tayama, "Highly advanced medical imaging based on computational anatomy model: Progress Overview," The Fifth International Symposium on Computational Anatomy, Univ. of Tokyo, Japan, Paper No. A01-KB1, 8-9 Mar. 2014 [poster]
  40. E. A. Rashed, A. M. Ghanem, A. Amin, A. Atia, M. al-Shatouri and H. Kudo, "Development of interactive 3D imaging system for hepatic angiography," 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2013), Paper No. M05-7, Seoul, South Korea, 2013 [DOI][pdf] ✿
  41. 🏆 E. A. Rashed and H. Kudo, "Compressed sensing model for multiphase abdominal CT imaging," Proceedings of the 31st JAMIT Annual Meeting, Paper No. OP2-9, Sapporo, Japan, 2012 (Best Presentation Award)
  42. E. A. Rashed and H. Kudo, "Statistical CT reconstruction from limited views with probabilistic atlas prior," Proceedings of The 2nd International Conference on Image Formation in X-ray Computed Tomography, pp. 352-355, Salt Lake City, Utah, USA, 2012 
  43. Z. Wang, E. A. Rashed and H. Kudo, "Analytical fan-beam reconstruction algorithm for free-form trajectory with plus-minus weighting scheme,"  Proceedings of the Society of the Photo-Optical Instrumentation Engineers (Medical Imaging 2012), Paper No. 8313-121, San Diego, CA, USA, 2012 [DOI]
  44. E. A. Rashed and H. Kudo, "Row-action image reconstruction algorithm using Lp-norm distance to a reference image," 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2011), pp. 3966-3970, Valencia, Spain, 2011 [DOI][pdf] ✿
  45. E. A. Rashed, Z. Wang and H. Kudo, "Adaptive thresholding for robust iterative image reconstruction from limited views projection," 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2011), pp. 4249-4252, Valencia, Spain, 2011 [DOI][pdf] ✿
  46. E. A. Rashed, H. Toda, T. Sera, A. Tsuchiyama, T. Nakano, K. Uesugi and H. Kudo, "Towards a High-Resolution Local Tomography using Statistical Iterative Reconstruction," 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2011), pp. 4253-4256, Valencia, Spain, 2011 [DOI][pdf] ✿
  47. E. A. Rashed and H. Kudo, "Iterative thresholding framework for row-action reconstruction from sparse projection data," 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2011), pp. 4257-4259, Valencia, Spain, 2011 [DOI][pdf] ✿
  48. E. A. Rashed and H. Kudo, "Row-action reconstruction algorithms for the minimization of the L1/L0 distance from a reference image in CT," Proceedings of the 30th JAMIT Annual Meeting, Paper No. OP3-4, Odawara, Japan, 2011
  49. Z. Wang, E. A. Rashed and H. Kudo, "General Fan-beam reconstruction algorithm for free-form trajectory with plus-minus weighting scheme," Proceedings of the 30th JAMIT Annual Meeting, Paper No. OP11-1, Odawara, Japan, 2011
  50. E. A. Rashed and H. Kudo, "Region-of-Interest reconstruction from truncated projection data under blind object support," 2008 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2008), pp. 3632-3636, Dresden, Germany, 2008 [DOI][pdf] ✿
  51. 🏆 E. A. Rashed and H. Kudo, "Iterative algorithms for artifacts reduction in region-of-interest tomographic reconstruction from truncated projection data,"  Proceedings of the 27th JAMIT Annual Meeting, Paper No. B3-01, Tokyo, Japan, 2008 (Best Presentation Award)
  52. E. A. Rashed, H. Kudo, T. Zeniya and H. Iida, "Practical statistical models for region-of-interest tomographic reconstruction and long object problem,"  2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2017), pp. 3505-3511, Honolulu, HI, USA, 2007 [DOI][pdf] ✿
  53. E. A. Rashed, H. Kudo, T. Zeniya and H. Iida, "Fast statistical reconstruction methods for region-of interest CT imaging," Proceedings of the 27th JAMIT Annual Meeting, Paper No. A3-03, Tsukuba, Japan, 2007
  54. E. A. Rashed and M. G. Awad, "Neural networks approach for mammography diagnosis using wavelets features," Proceedings of the First Canadian Student Conference on Biomedical Computing (CSCBC06), Paper No. 105, Ontario, Canada, 2006 [arXiv] ✿
NON-REVIEWED PUBLICATIONS & PRESENTATIONS　【その他​】
  1. A. T. Elboardy, M. Nouman and E. A. Rashed, "Improving Large Language Models with Reinforcement Learning for Enhanced Medical Image Analysis," 医用画像研究会 (MI), 5 Dec. 2024, Osaka, Japan
  2. M. Nouman, A. T. Elboardy, G. Khoriba and E. A. Rashed, "Evaluating MedSAM: Addressing Clinical Performance and Segmentation Challenges," 医用画像研究会 (MI), 5 Dec. 2024, Osaka, Japan
  3. A. Hirata, S. Kodera, E. A. Rashed, M. Tamura and H. Hontani, "Electric Field Estimation in Personalized Bain Stimulation with Machine Learning," IEICE General Conference, Hiroshima, Japan 4-8 Mar. 2024 (Invited Talk: A. Hirata)
  4. E. A. Rashed, "Deep learning-based segmented human head dataset," The 62rd Annual Conference of Japanese Society for Medical and Biological Engineering 第62回日本生体医工学会大会," Nagoya, Japan 18-20 May 2023
  5. E. A. Rashed, "Deep learning in medical imaging," Egypt-Japan Multidisciplinary Science Forum, Cairo, Egypt, 18 Feb. 2023 (Invited Talk) 
  6. E. A. Rashed, "Development of human head models from anatomical medical images using deep learning," The 2nd International Conference on Medical Imaging Science and Technology (MIST 2022), 15-18 Nov. 2022 (Invited Talk)
  7. E. A. Rashed, "Deep learning models for efficient electromagnetic neuromodulation," 兵庫県立大学 知の交流シンポジウム, 姫路市文化コンベンションセンター, 姫路市, 27 Sept. 2022 (Poster presentation)
  8. E. A. Rashed and A. Hirata, "Modeling collagen fibers in human finger anatomical model towards realistic electromagnetic analysis," 2022 IEICE workshop on Electronics Simulation Technology (EST), Okinawa, Japan, 27-28 Jan. 2022  
  9. ​A. Hirata, S. Kodera and E.  A. Rashed,  "Predicting ambulance dispatches due to the heat stroke in Nagoya City - application with neural networks and non-linear regression modeling - ," 2021 Annual IEICE meeting, 11 Mar. 2021 (Presenter is Prof. A. Hirata)
  10. E. A. Rashed, "Human head models with deep learning enabled dielectric properties," Online seminar at the Pattern Recognition Lab, University of Erlangen-Nuremberg, 25 Feb. 2021 [video record is here: https://www.fau.tv/clip/id/29967] (Invited Talk) 
  11. E. A. Rashed, "The role of deep learning in better understanding of COVID-19: A one-year lesson," The 2nd International JSPS Webinars: Preparedness for the next COVID-19 wave multidisciplinary impacts: health, education and environment, online webinar, 13 Feb. 2021 (program is here)
  12. T. Murakawa, Yinliang Diao, E. A. Rashed, Y. Kamimura and A. Hirata, "Computation of the Local SAR and Temperature Rise in Anatomically-based Hand Model due to Contact Current," 2021 IEICE workshop on Electronics Simulation Technology (EST), online meeting, 21-22 Jan. 2021  
  13. T. Moridera, E. A. Rashed and A. Hirata, "Performance Evaluation of EEG Source Localization Based on Lead Field Matrix," 2021 IEICE workshop on Electronics Simulation Technology (EST), online meeting, 21-22 Jan. 2021  
  14. Y. Diao, E. A. Rashed and A. Hirata, "Evaluation of the electromagnetic absorption and temperature rise in curved body models above 6 GHz," 2020 IEICE workshop on Electronics Simulation Technology (EST), online meeting, 22-23 Oct. 2020
  15. A. Hirata, S. Kodera, J. Gomez-Tames and E. A. Rashed, "Correlation of COVID-19 transmission with population density and meteorological factors in Japan," Climatological, Meteorological and Environmental factors in the COVID-19 pandemic (online event) (4-6 Aug. 2020)
  16. T. Murakawa, Y. Diao, E. A. Rashed, Y. Tanaka, S. Kitamura, S. Uehara, Y. Otaka and A. Hirata, "Numerical investigation of induced field in anatomically-based hand model for contact current at intermediate frequencies," 2020 IEICE workshop on Electronics Stimulation Technology (EST), online meeting, 16-17 July 2020 (published as IEICE Technical Report, vol. EST2020-11, pp. 27-32, 2020)
  17. E. A. Rashed, J. Gomez-Tames and A. Hirata, "End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation," NYC Neuromodulation 2020 (Apr. 22, 2020) (session video record is here)
  18. ​🏆 E. A. Rashed and A. Hirata, "CondNet: Deep learning architecture for electrical conductivity estimation of human head models," 2020 IEICE workshop on Electronics Simulation Technology (EST), Beppu International Convention Center, Beppu, Japan, 30-31 Jan. 2020 (published as IEICE Technical Report, vol. 119, No. 407, pp. 13-17, 2020) [link] (Best Presentation Award)
  19. E. A. Rashed, J. Gomez-Tames and A. Hirata, "Personalized head models from MRI using convolutional neural networks," 2019 IEICE workshop on Electronics Simulation Technology (EST), Nagoya Institute of Technology, Nagoya, Japan, 17 May 2019 (published as IEICE Technical Report, vol. 119, No. 42, pp. 9-12, 2019) [link]
  20. E. A. Rashed and M. G. Awad, "Machine Learning in Cancer Research," Cancer Bioinformatics: Genomics and Transcriptomics Approach, ICGEB Course, Suez Canal University, Ismailia, Egypt 5-7 Mar. 2019. (Invited Talk)
  21. E. Ahmed, T. Gaber and E. A. Rashed, “Deep learning approach for detecting breast cancer from thermograms,” The first international conference on advanced computer communication and informatics (ACCI2018), Ismailia, Egypt, May 2018
  22. E. A. Rashed, "Tomography: from analytical methods to machine learning," The first international conference on advanced computer communication and informatics (ACCI2018), Ismailia, Egypt, May 2018 (Invited Talk)
  23. E. A. Rashed and H. Yousry, "Egyptian Precision Medicine Era," Keynote Lecture, Fifth Young Researchers Conference @ Suez Canal University, 7-8 Apr. 2018. (Invited Talk)
  24. O. Abdelfattah, E. A. Rashed and W. Hussein, “FluoroTech: Denoising Algorithm for Fluoroscopic Imaging,” The 10th Annual Undergraduate research Conference on Applied Computing (URC2018), Dubai, UAE, Apr. 2018
  25. E. A. Mohamed, E. A. Rashed and H. M. Hewedi, “Three-dimensional blood vessel detection from low-dose CT imaging using shape prior approach," 5th International Conference on Mathematics and Information Sciences (ICMIS2016), Paper No. 217, Cairo, Egypt, Feb. 2016
  26. E. A. Rashed, "Towards efficient low-dose tomographic imaging system," Keynote Lecture, Workshop in Computer Science Approaches and Their Applications, Zagazig University, 16 July 2016 (Invited Talk)
  27. E. A. Rashed, "Multidisciplinary Collaborative Research: an example from SCU," Keynote Lecture, Third Young Researchers Conference @ Suez Canal University, 7-8 May 2016 (Invited Talk)
  28. M. Hashem, E. A. Rashed and F. Harby, “Low-dose CT denoising by incremental learning and ant colony optimization,” 26th International Conference on Computer Theory and Applications (ICCTA 2016), Alex., Egypt, 2016
  29. M. Hashem, E. A. Rashed and F. Harby, “An elliptical basis function network for non-blind deconvolution,” 25th International Conference on Computer Theory and Applications (ICCTA 2015), pp. 197–201, Alex., Egypt, 2015
  30. 🏆 E. A. Rashed, "Image reconstruction method for low-dose computed tomography," First Young Researchers Conference @ Suez Canal University, 6-7 Mar. 2013 (Best Presentation Award)
  31. T. Kobayashi, E. A. Rashed, and H. Kudo, “New developments in image reconstruction - current research,” Proceeding of Next generation PET society, Paper No. 7, Chiba, Japan, 2009
  32. H. Kudo and E. A. Rashed, “Uniqueness results and image reconstruction for region-of-interest and interior tomography,” International workshop: Brain storming on quantification in Single Photon Emission Computed Tomography (SPECT), National Cardiovascular Center, Osaka, Japan, 2009
​​Publications in Japanese　【日本語論文】
  1. 平田 晃正、小寺 紗千子、ラシド イサム『深層学習(AI)に基づく新型コロナウイルス感染症流行の予測』臨床と微生物 49巻3号 2022-5 (近代出版、ISBN: 978-4874022818) available at amazon
  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』映像情報メディカル 43(13) (通号 831) 2011-12 p. 1093-1099
  3. 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』映像情報メディカル 41(13) (通号 803) 2009-12 p. 1341～1347
Pre-Prints ​【プレプリント】
  1. M. Nouman, M. Mabrok and E. A. Rashed, "Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers," arXiv, 2406.06017, 2024 [link]
  2. Y. Zafari-Ghadim, E. A. Rashed and M. Mabrok, "Transformers-based architectures for stroke segmentation: A review," arXiv, 2403.18637, 2024 [link]
  3. A. Soliman, Y. Yousif, A. Ibrahim, Y. Zafari-Ghadim, E. A. Rashed, M. Mabrok, "Brain Stroke Segmentation Using Deep Learning Models: A Comparative Study," arXiv, 2403.17177, 2024 [link]
  4. E. A. Rashed, M. al-Shatouri, I. Laakso and A. Hirata, "SHARM: Segmented Head Anatomical Reference Models," arXiv, 2309.06677​, 2023 [DOI]
Publications are marked with (✿: open access) or (✿: full paper/preprint download) and award wining publications are marked with (🏆).