Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme


Publication year:
  1. Published
  2. Published

    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, In: Acta Odontologica Scandinavica. 81, 6, p. 422-435 14 p.

    Research output: Contribution to journalReviewResearchpeer-review

  3. Published

    Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography

    Sirazitdinov, I., Kubrak, K., Kiselev, S., Tolkachev, A., Kholiavchenko, M. & Ibragimov, Bulat, 2020, Artificial Neural Networks and Machine Learning – ICANN 2020 - 29th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P. & Wermter, S. (eds.). Springer VS, p. 247-257 11 p. (Lecture Notes in Computer Science, Vol. 12396 LNCS).

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

  4. 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

  5. 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

  6. Published

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

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. 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

  8. Published

    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. (eds.). Springer, p. 119-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13438 LNCS).

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

  9. 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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