Bulat Ibragimov

Bulat Ibragimov

Tenure Track Adjunkt


Udgivelsesår:
  1. 2020
  2. E-pub ahead of print

    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, I : Neurocomputing.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    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, I : International Journal of Computer Assisted Radiology and Surgery. 15, 3, s. 425-436 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. E-pub ahead of print

    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, I : Medical Physics. 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    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, I : IEEE Transactions on Automation Science and Engineering. 17, 2, s. 574-583 10 s., 8842597.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. 2019
  7. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

ID: 219366603