Bulat Ibragimov

Bulat Ibragimov

!!Tenure Track Adjunkt, Associate Professor


Publication year:
  1. 2021
  2. Published

    Adversarial Reconstruction Loss for Domain Generalization

    Bekkouch, I. E. I., Nicolae, D. C., Khan, A., Kazmi, S. M. A., Khattak, A. M. & Ibragimov, Bulat, 2021, In: IEEE Access. 9, p. 42424-42437 14 p., 9378518.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on The Kaggle Competition and Validation Against Radiologists

    Tolkachev, A., Sirazitdinov, I., Kholiavchenko, M., Mustafaev, T. & Ibragimov, Bulat, 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 5, p. 1660-1672

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published
  5. Published

    Multi-agent shape models for hip landmark detection in MR scans

    Bekkouch, I. E. I., Aidinovich, T., Vrtovec, T., Kuleev, R. & Ibragimov, Bulat, 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE - International Society for Optical Engineering, 11 p. 115960O. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 11596).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation

    Yang, C., Guo, X., Zhu, M., Ibragimov, Bulat & Yuan, Y., 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 10, p. 3886-3897

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. 2020
  8. Published

    Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods

    Vrtovec, T., Močnik, D., Strojan, P., Pernuš, F. & Ibragimov, Bulat, 2020, In: Medical Physics. 47, 9, p. e929-e950

    Research output: Contribution to journalReviewResearchpeer-review

  9. Published

    Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation

    Ibragimov, Bulat, Toesca, D. A. S., Chang, D. T., Yuan, Y., Koong, A. C. & Xing, L., 2020, In: Neurocomputing. 392, p. 181-188

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Contour-aware multi-label chest X-ray organ segmentation

    Kholiavchenko, M., Sirazitdinov, I., Kubrak, K., Badrutdinova, R., Kuleev, R., Yuan, Y., Vrtovec, T. & Ibragimov, Bulat, 2020, In: International Journal of Computer Assisted Radiology and Surgery. 15, 3, p. 425-436 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Deep learning for identification of critical regions associated with toxicities after liver stereotactic body radiation therapy

    Ibragimov, Bulat, Toesca, D. A. S., Chang, D. T., Yuan, Y., Koong, A. C., Xing, L. & Vogelius, I. R., 2020, In: Medical Physics. 47, 8, p. 3721-3731

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Densely Connected Neural Network with Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition

    Yuan, Y., Qin, W., Ibragimov, Bulat, Zhang, G., Han, B., Meng, M. Q. H. & Xing, L., 2020, In: IEEE Transactions on Automation Science and Engineering. 17, 2, p. 574-583 10 p., 8842597.

    Research output: Contribution to journalJournal articleResearchpeer-review

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