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Summary of achievements in 2024

Peer-reviewed Journal papers (8)

  1. 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)​​
  2. 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)
  3. 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)
  4. 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)
  5. H. Seshimo and E. A. Rashed, "Segmentation of low-grade brain tumors using mutual attention multimodal MRI," Sensors, vol. 24, pp. 7576, 2024 [DOI][Open access][PubMed] (IF23=3.4)
  6. Y. Diao, E. A. Rashed, K. Sasaki, L. Giaccone, I. Laakso, C. Li, R. Scorretti and A. Hirata, "Effect of the conductivity variations on computed electric field induced in learning-based models," IEEE Access, vol. 12, pp. 188454-64, 2024 [DOI][Open access] (IF23=3.4) 
  7. A. Soliman, Y. Yousif, A. Ibrahim, Y. Zafari-Ghadim, E. A. Rashed and M. Mabrok, "Deep models for stroke segmentation: do complex architectures always perform better?" IEEE Access, vol. 12, pp. 198262 - 76, 2024 [DOI][Open access] (IF23=3.4)
  8. ​E. A. Rashed, M. al-Shatouri, I. Laakso, S. Kodera and A. Hirata, "SHARM: Segmented Head Anatomical Reference Models," Biomedical Signal Processing and Control, vol. 104, pp. 107481, 2025 [DOI][pdf] (IF23=4.9)​​

Invited Talks (3)

  1. E. A. Rashed, "Brain stimulation in the era of deep learning", Research Seminar at Muroran Institute of Technology, Japan (Aug. 1, 2024)
  2. E. A. Rashed, "Deep learning in Medical imaging: applications of liver cancer diagnosis," Annual meeting of the Egyptian Association of Cancer Research (EACR), 2 Nov. 2024 (online lecture)
  3. E. A. Rashed, "Foundation Models in Medical Image Analysis: overview and prospects," Research Seminar on Transforming Healthcare using AI, Australian Catholic University (ACU), Sydney, Australia, 25 Nov. 2024

Awards (6)

  1. Best Technical Paper Award, IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia (20-23 Nov. 2024)
  2. Listed in the 2024 Stanford's World Top 2% Scientists
  3. FY2024 Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (MEXT), Science and Technology Award (Development Category)   令和6年度科学技術分野 文部科学大臣表彰を受賞 科学技術賞（開発部門）
  4. FY2024 University of Hyogo Outstanding Research Activity Award. 令和6年度兵庫県立大学・最優秀研究活動賞
  5. IJERPH 2021–2023 Outstanding Special Issue Award (Guest Editors: S. Kodera and E. A. Rashed) [Certificate]
  6. Best Paper Award, ICMIP2024, Osaka, Japan (Presented by M. Mabrok)

Conference papers (16)

  1. ​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
  2. 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 (ICMIP2024), Osaka, Japan 20-22 Apr. 2024 [DOI]
  3. 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 (ICMIP2024), Osaka, Japan 20-22 Apr. 2024 [DOI]
  4. 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 (ICMIP2024), Osaka, Japan 20-22 Apr. 2024 [DOI]
  5. 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 (JSMBE63), Kagoshima, Japan, 23-25 May 2024 [DOI]
  6. 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 (JSMBE63), Kagoshima, Japan 23-25 May 2024 [DOI]
  7. 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
  8. R. Moriyama, S. Kodera, E. A. Rashed, M. Tamura and A. Hirata, "Effect of human head modeling on diagnosis for TMS in patients with brain tumor," IEICE Society Conference, Saitama, Japan 10-13 Sept. 2024
  9. 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), 20-23 Nov. 2024, Sydney, Australia
  10.  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), 20-23 Nov. 2024, Sydney, Australia
  11. H. A. 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), 20-23 Nov. 2024, Sydney, Australia
  12. 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), 20-23 Nov. 2024, Sydney, Australia
  13. M. Nouman, G. Khoriba and E. A. Rashed, "Rethinking MedSAM: Performance Discrepancies in Clinical Applications," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), 20-23 Nov. 2024, Sydney, Australia​
  14. R. Moriyama, S. Kodera, E. A. Rashed, M. Tamura and A. Hirata, "Effect of human head modeling on diagnosis using TMS in patients with brain tumor," 2024 IEICE workshop on Electronics Simulation Technology (EST), online meeting, 17-18 Oct. 2024 (non-reviewed)​
  15. M. Nouman, A. T. Elboardy, G. Khoriba and E. A. Rashed, "Evaluating MedSAM: Addressing Clinical Performance and Segmentation Challenges," IEICE Medical Imaging Research Meeting 「医用画像研究会（MI）」, Osaka, 5 Dec. 2024 (non-reviewed)
  16. A. T. Elboardy, M. Nouman and E. A. Rashed, "Improving Large Language Models with Reinforcement Learning for Enhanced Medical Image Analysis," IEICE Medical Imaging Research Meeting 「医用画像研究会（MI）」, Osaka, 5 Dec. 2024 (non-reviewed)​​

Grants (2)

  1. Interpretable multimodal AI for enhanced breast cancer diagnosis, International Research Collaboration Co-fund (IRCC), Qatar University, Qatar, Lead Principal Investigator (2025-2026)
  2. Special Research Project, University of Hyogo, Principal Investigator (2024-2025)

Professional services (3)

  1. ​Technical committee member (special session co-chair),  NILES2024, Giza, Egypt
  2. Technical committee member, The 13th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2024)
  3. Session Chair, FMLDS2024, Sydney, Australia (20-23 Nov. 2024)

Others (1)

  1. Book chapter: G. Khoriba, M. Nouman and E. A. Rashed,  Large language models in medical image understanding, Bbook Title "Cutting-Edge Artificial Intelligence Advances: Implications in Real-World Applications," CRC Press