Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme

Member of:

    ORCID: 0000-0001-7739-7788

    Publication year:
    All
    1 - 25 out of 39Page size: 25
    Sort by: Title
    1. Published

      A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosis

      Ibragimov, Bulat, Arzamasov, K., Maksudov, B., Kiselev, S., Mongolin, A., Mustafaev, T., Ibragimova, D., Evteeva, K., Andreychenko, A. & Morozov, S., Dec 2023, In: Scientific Reports. 13, 1, 14 p., 1135.

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

    2. 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

    3. 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

    4. 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

    5. 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

    6. Published

      Assignment Theory-Augmented Neural Network for Dental Arch Labeling

      Dascalu, Tudor-Laurentiu & Ibragimov, Bulat, 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. 295-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14222 LNCS).

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

    7. 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

    8. 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

    9. 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

    10. 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

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

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

    13. 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

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

    15. 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

    16. Published

      Deep learning for detection of clinical operations in robot-assisted percutaneous renal access

      Ibragimov, Bulat, Zhen, J. & Ayvali, E., 2023, In: IEEE Access. 11, p. 90358-90366

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

    17. 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

    18. 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

    19. 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

    20. 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

    21. 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

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

    23. 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

    24. 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

    25. Published

      Machine Learning for Image-Based Radiotherapy Outcome Prediction

      Ibragimov, Bulat, 2023, Artificial Intelligence in Radiation Oncology and Biomedical Physics. Valdes, G. & Xing, L. (eds.). CRC Press, p. 25-52 28 p.

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

    Previous 1 2 Next

    ID: 219366603