Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme

Member of:

    ORCID: 0000-0001-7739-7788

    Publication year:
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    1 - 10 out of 38Page size: 10
    1. 2019
    2. Published

      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, In: IEEE Journal of Biomedical and Health Informatics. 23, 5, p. 1821-1833 13 p., 8664101.

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

    3. 2020
    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

      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 journal › Journal article › Research › peer-review

    6. 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 journal › Journal article › Research › peer-review

    7. 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, Ivan R. , 2020, In: Medical Physics. 47, 8, p. 3721-3731

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

    8. 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

    9. 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

    10. Published

      Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution

      Chen, Z., Guo, X., Yang, C., Ibragimov, Bulat & Yuan, Y., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer VS, p. 184-193 10 p. (Lecture Notes in Computer Science, Vol. 12265 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    11. 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 journal › Journal article › Research › peer-review

    12. 2021
    13. 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 journal › Journal article › Research › peer-review

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    ID: 219366603