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Abdullah-Al-Zubaer Imran, Ph.D.

    20152026

    Research activity per year

    Personal profile

    Courses Taught

    • CS 263: AI in the World
    • CS 335: Graphics and Multimedia
    • CS 460G: Machine Learning
    • CS 684: Special Topics in Vision, Graphics and Multimedia

    Research Interests

    • Machine Learning
    • Computer Vision
    • Medical Imaging

    Education/Academic qualification

    Doctor of Philosophy, University Of California - Los Angeles

    2020

    Master of Science, Delaware State College

    2016

    Bachelor of Science, University Of Rajshahi

    2012

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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    Collaborations and top research areas from the last five years

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    • A probabilistic segment anything model for ambiguity-aware medical image segmentation

      Ward, T. & Imran, A., Apr 2 2026, Medical Imaging 2026: Imaging Informatics: Imaging Informatics. Yang, X. & Hsu, W. (eds.). Vol. 13930. 6 p. 1393003. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13930).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Federated Reprogramming Knowledge Distillation for Medical Image Classification

      Mahanipour, A., Imran, A. A. Z. & Khamfroush, H., 2026, Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - 1st International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Proceedings. Zamzmi, G., Reinke, A., Samala, R., Jiang, M., Li, X., Roth, H., Sidulova, M., Kooi, T., Albarqouni, S., Bakas, S. & Rieke, N. (eds.). Vol. 16135. p. 143-152 10 p. (Lecture Notes in Computer Science; vol. 16135 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations

    • U-KAN-Seg: Improving Universal Text-Driven CT Image Segmentation with Kolmogorov-Arnold Networks

      Rifa, K. R., Zhang, J. & Imran, A., Apr 3 2026, Medical Imaging 2026: Image Processing. Mitra, J. & Gan, Y. (eds.). Vol. 13925. 6 p. 1392526. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13925).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Annotation-Efficient Task Guidance for Medical Segment Anything

      Ward, T. & Al Zubaer Imran, A., 2025, ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings. (Proceedings - International Symposium on Biomedical Imaging).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Automated estimation of individualized organ-specific dose and noise from clinical CT scans

      Wang, S., Medrano, M. J., Imran, A. A. Z., Lee, W., Cao, J. J., Stevens, G. M., Tse, J. R. & Wang, A. S., Feb 2 2025, In: Physics in Medicine and Biology. 70, 3, 035014.

      Research output: Contribution to journal › Article › peer-review

      3 Scopus citations
    View all 47 Research outputs