Bulat Ibragimov

Bulat Ibragimov

Associate Professor, Associate Professor - Promotion Programme

Member of:

    ORCID: 0000-0001-7739-7788

    Publication year:
    All
    1 - 24 out of 24Page size: 100
    1. 2024
    2. 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

    3. E-pub ahead of print

      The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review

      Ibragimov, Bulat & Mello-Thoms, C., 2024, (E-pub ahead of print) In: IEEE Journal of Biomedical and Health Informatics. 19 p.

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

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

    5. 2023
    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

    11. 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

    12. 2022
    13. 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

    14. 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

    15. 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

    16. 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

    17. 2021
    18. 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

    19. 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

    20. 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

    21. 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

    22. 2020
    23. 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

    24. 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

    25. 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

    26. 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

    27. 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

    28. 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

    29. 2019
    30. 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

    ID: 219366603