Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme

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    ORCID: 0000-0001-7739-7788

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    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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-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 journal › Review › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

    8. Published

      Prediction of pulp exposure before caries excavation using artificial intelligence: Deep learning-based image data versus standard dental radiographs

      bzd222, bzd222, Dascalu, Tudor-Laurentiu, Ibragimov, Bulat, Bakhshandeh, Azam & Bjørndal, Lars, Nov 2023, In: Journal of Dentistry. 138, 7 p., 104732.

      Research output: Contribution to journal › Journal article › Research › peer-review

    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 journal › Review › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

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