Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme

Member of:

    ORCID: 0000-0001-7739-7788

    Publication year:
    All
    1 - 25 out of 40Page size: 25
    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

      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

    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

      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

    7. 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

    8. 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

    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

      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

    11. 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

    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

    14. Published

      Multi-agent shape models for hip landmark detection in MR scans

      Bekkouch, I. E. I., Aidinovich, T., Vrtovec, T., Kuleev, R. & Ibragimov, Bulat, 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE - International Society for Optical Engineering, 11 p. 115960O. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 11596).

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

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

    16. 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 proceeding › Article in proceedings › Research › peer-review

    17. 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

    18. 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

    19. 2022
    20. Published

      A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation

      Alukaev, D., Kiselev, S., Mustafaev, T., Ainur, A., Ibragimov, Bulat & Vrtovec, T., 2022, In: European Spine Journal. 31, p. 2115–2124

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

    21. Published

      Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification

      Bekkouch, I. E. I., Maksudov, B., Kiselev, S., Mustafaev, T., Vrtovec, T. & Ibragimov, Bulat, 2022, In: Medical Image Analysis. 78, 14 p., 102417.

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

    22. Published

      Benefits of auxiliary information in deep learning-based teeth segmentation

      Dascalu, Tudor-Laurentiu, Kuznetsov, A. & Ibragimov, Bulat, 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, p. 1-9 1203232. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12032).

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

    24. 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 proceeding › Article in proceedings › Research › peer-review

    25. 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 proceeding › Article in proceedings › Research › peer-review

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

    27. 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 proceeding › Article in proceedings › Research › peer-review

    28. 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 proceeding › Article in proceedings › Research › peer-review

    29. 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

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