Bulat Ibragimov

Bulat Ibragimov

Lektor, Lektor - forfremmelsesprogrammet


  1. E-pub ahead of print

    vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images

    Podobnik, G., Ibragimov, Bulat, Peterlin, P., Strojan, P. & Vrtovec, T., 2024, (E-pub ahead of print) I: Medical Physics. 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  2. Udgivet

    The efficiency of artificial intelligence methods for finding radiographic features in different endodontic treatments - a systematic review

    bzd222, bzd222, Dascalu, Tudor-Laurentiu, Bakhshandeh, Azam, Ibragimov, Bulat, Kvist, T., EndoReCo, E. & Bjørndal, Lars, 2023, I: Acta Odontologica Scandinavica. 81, 6, s. 422-435 14 s.

    Publikation: Bidrag til tidsskriftReviewfagfællebedømt

  3. E-pub ahead of print

    The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review

    Ibragimov, Bulat & Mello-Thoms, C., 2024, (E-pub ahead of print) I: IEEE Journal of Biomedical and Health Informatics. 19 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  4. Udgivet

    Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation

    Vrtovec, T. & Ibragimov, Bulat, 2022, I: European Spine Journal. 31, s. 2031–2045

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  5. Udgivet

    Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

    Yang, Q., Liu, X., Chen, Z., Ibragimov, Bulat & Yuan, Y., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer, s. 119-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13438 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results

    Podobnik, G., Ibragimov, Bulat, Strojan, P., Peterlin, P. & Vrtovec, T., 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, s. 1-4

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet
  8. Udgivet

    Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling

    Kornaeva, E., Kornaev, A., Fetisov, A., Stebakov, I. & Ibragimov, Bulat, 2022, 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. IEEE, 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis

    Podobnik, G., Strojan, P., Peterlin, P., Ibragimov, Bulat & Vrtovec, T., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (red.). SPIE, s. 1-8 120321N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 12032).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes

    Ibragimov, Bulat, Toesca, D. A. S., Yuan, Y., Koong, A. C., Chang, D. T. & Xing, L., 2019, I: IEEE Journal of Biomedical and Health Informatics. 23, 5, s. 1821-1833 13 s., 8664101.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

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