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MUHAMMAD NOUMAN

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Hello

A Bit About Me

I am a research scholar in Artificial Intelligence, specializing in Medical Image Processing, Deep Learning, and Data Analysis. My work focuses on developing AI-driven solutions for healthcare, emphasizing medical imaging, segmentation, and Explainable AI to enhance model transparency and clinical trust.

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With experience in both academia and industry, I have contributed to national and international research projects and published research in these areas. My goal is to bridge technical innovation with real-world medical applications, making AI more interpretable and impactful in healthcare.

Japan International Student Scholarship – Research Achievement Award (2025) 

Selected as one of five awardees nationwide in recognition of outstanding research contributions; awarded ¥100,000.

Conference Presentations

​Oral Presentation

  • 64th Annual Conference of the Japanese Society for Medical and Biological Engineering (JSMBE 2025), Fukui, Japan – June 5–7, 2025
    Title: MedSAM Guider: A lightweight guidance module to mitigate prompt sensitivity in segmentation foundation models
    (based on accepted conference paper)
     

  • IEICE Medical Imaging Research Meeting, Osaka, Japan – December 5, 2024
    Title: Evaluating MedSAM: Addressing clinical performance and segmentation challenges
    (based on accepted conference paper)

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  • IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2024), Sydney, Australia – November 20–23, 2024
    Title: Rethinking MedSAM: Performance discrepancies in clinical applications
    (based on accepted conference paper)

 

  • 63rd Annual Conference of the Japanese Society for Medical and Biological Engineering (JSMBE 2024), Kagoshima, Japan – May 23–25, 2024
    Title: Transformer-based precision in 3D MRI stroke lesion segmentation
    (based on accepted conference paper)

 

  • 9th International Conference on Multimedia and Image Processing (ICMIP 2024), Osaka, Japan – April 20–22, 2024
    Title: Neuro-TransUNet: A comprehensive transformer-based architecture for precise segmentation of stroke lesions in 3D MRI
    (based on accepted conference paper)
     

 

Poster Presentation

  • Hyogo Prefectural University Value Co-Creation Symposium 2025, Kobe, Japan – September 26, 2025
    Title: Toward practical deployment of foundation models in radiology
     

  • 44th Annual Meeting of the Japanese Society of Medical Imaging Technology (JAMIT 2025), Tokyo, Japan – August 28, 2025
    Title: Bilateral attention fusion network for multi-view mammographic breast cancer diagnosis
    (based on accepted conference paper)
     

  • Workshop on Advanced Signal Processing (WASP 2024), Meiji University, Tokyo, Japan – October 7, 2024
    Title: Rethinking MedSAM: Performance discrepancies in clinical applications of MedSAM

News

  • September 2025: Poster presentation at Hyogo Prefectural University Value Co-Creation Symposium 2025, Kobe, Japan.

  • August 2025: Presented research at the 44th Annual Meeting of the Japanese Society of Medical Imaging Technology (JAMIT 2025), Tokyo, Japan.

  • June 2025: Presented research at the 64th Annual Conference of the Japanese Society for Medical and Biological Engineering (JSMBE 2025), Fukui, Japan

  • May 2025: Co-authored a book chapter: G. Khoriba, M. Nouman, and E. A. Rashed, "Large Language Models in Medical Image Understanding," published in Cutting-Edge Artificial Intelligence Advances: Implications in Real-World Applications, CRC Press. [DOI: 10.1201/9781032632483-7]

  • May 2025: Co-authored a review paper (accepted): Y. Zafari, R. Elalfy, M. Nouman, et al., "Multi-Modal Deep Learning in Breast Cancer Diagnosis: A Review of Recent Advances," Proceedings of ACDSA 2025, Antalya, Türkiye (Aug. 2025).

  • March 2025: Appointed as a Technical Program Committee Member for the Special Session: Learning from Small Data in Medical Imaging at the 21st International Conference on Advanced Data Mining and Applications (ADMA 2025), Kyoto, Japan (Dec. 2025). [https://lsd-mi.github.io/LSD-MI2025]

  • January 2025: Paper accepted for the IEEE International Symposium on Biomedical Imaging (ISBI 2025), scheduled for presentation in Houston, TX, USA (Apr. 14–17, 2025).

  • December 2024: Delivered a technical session to visiting IIT India students as part of the JENESYS2024 program at the University of Hyogo.

  • December 2024: Presented my research at the IEICE Medical Imaging Research Meeting, Osaka, Japan (Dec. 5, 2024).

  • November 2024: Presented my research at the IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2024), Sydney, Australia (Nov. 20–23, 2024).

  • October 2024: Presented my research poster at WASP 2024, Meiji University, Tokyo (Oct. 7, 2024).

  • August 2024: Presented my research to international students at Hyogo International House, Kobe.

  • May 2024: Presented my research findings at the 63rd Annual Conference of the Japanese Society for Medical and Biological Engineering (JSMBE63) in Kagoshima, Japan (May 23–25, 2024).

  • April 2024: Began working as a Research Assistant on the project "Interactive Medical Image Diagnosis with Chatbot Assistance." funded by JST PRESTO. (April 2024 - Present)

  • April 2024: Paper accepted for the 9th International Conference on Multimedia and Image Processing (ICMIP 2024), scheduled for presentation in Osaka, Japan (Apr. 20–22, 2024).

  • April 2024: Conducted research session with Japanese high school students in Hyogo, offering feedback and guidance to aspiring young researchers.

  • April 2024: Began my Doctoral degree at the University of Hyogo, Japan.

  • December 2023: Started working on the project "Transformer-Based Deep Learning for Rapid Stroke Diagnosis," funded by the Qatar Japan Research Collaboration Research Program. (Dec. 2023- March 2024)

  • October 2023: Joined the University of Hyogo, Japan, as a MEXT Research Scholar.

  • September 2023: Conducted Outcome-Based Education (OBE) training at NUML, Faisalabad.

  • February 2023: Joined NUML, Faisalabad, as a Lecturer.

  • October 2022: Began my role as a Lecturer at National Textile University.

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