Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme


Publication year:
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Published
  9. 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

  10. Published

    Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

    Podobnik, G., Strojan, P., Peterlin, P., Ibragimov, Bulat & Vrtovec, T., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer, p. 745-755 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14223 LNCS).

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

  11. 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) In: Medical Physics. 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset

    Podobnik, G., Strojan, P., Peterlin, P., Ibragimov, Bulat & Vrtovec, T., 2023, In: Medical Physics. 50, 3, 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published

    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. (eds.). SPIE, p. 1-8 120321N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12032).

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

  14. Published

    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, p. 1-4

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

  15. Published

    Changes in Radiologists’ Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment

    Pershin, I., Mustafaev, T., Ibragimova, D. & Ibragimov, Bulat, 2023, In: Journal of Digital Imaging. 36, 3, p. 767-775

    Research output: Contribution to journalJournal articleResearchpeer-review

  16. Published

    Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data

    Pershin, I., Mustafaev, T. & Ibragimov, Bulat, 2023, 2023 IEEE Congress on Evolutionary Computation, CEC 2023. IEEE

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

  17. Published

    Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns

    Pershin, I., Kholiavchenko, M., Maksudov, B., Mustafaev, T., Ibragimova, D. & Ibragimov, Bulat, 2022, In: IEEE Journal of Biomedical and Health Informatics. 26, 9, p. 4541-4550

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. Published

    AI-based analysis of radiologist's eye movements for fatigue estimation: A pilot study on chest X-rays

    Pershin, I., Kholiavchenko, M., Maksudov, B., Mustafaev, T. & Ibragimov, Bulat, 2022, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R., Mello-Thoms, C. R. & Taylor-Phillips, S. (eds.). SPIE, 4 p. 120350Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12035).

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

  19. E-pub ahead of print

    Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis

    Møller, Bjørn Leth, Lo, B. Z. S., Burisch, J., Bendtsen, Flemming, Vind, Ida, Ibragimov, Bulat & Igel, Christian, 2024, (E-pub ahead of print) In: KI - Künstliche Intelligenz. 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. Published

    Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow

    Liu, H., Lin, Y., Ibragimov, Bulat & Zhang, C., 2020, In: Biomedical Signal Processing and Control. 62, 12 p., 102085.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Published

    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 p.

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

  22. Published

    Automating cardiothoracic ratio measurements in chest X-rays

    Kiselev, S., Maksudov, B., Mustafaev, T., Kuleev, R. & Ibragimov, Bulat, 2021, 2021 International Conference "Nonlinearity, Information and Robotics", NIR 2021. IEEE, 4 p.

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

  23. Published

    Gaze-Based Attention to Improve the Classification of Lung Diseases

    Kholiavchenko, M., Pershin, I., Maksudov, B., Mustafaev, T., Yuan, Y. & Ibragimov, Bulat, 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, 4 p. 120320C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12032).

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

  24. 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

  25. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

    Research output: Contribution to journalJournal articleResearchpeer-review

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