Bulat Ibragimov

Bulat Ibragimov

Lektor, Lektor - forfremmelsesprogrammet

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    ORCID: 0000-0001-7739-7788

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    1. Udgivet

      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, I: European Spine Journal. 31, s. 2115–2124

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    2. Udgivet

      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, I: IEEE Access. 9, s. 42424-42437 14 s., 9378518.

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    3. Udgivet

      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, I: Medical Image Analysis. 78, 14 s., 102417.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    4. Udgivet

      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. (red.). SPIE - International Society for Optical Engineering, 11 s. 115960O. (Proceedings of S P I E - International Society for Optical Engineering, Bind 11596).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      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. (red.). Springer VS, s. 184-193 10 s. (Lecture Notes in Computer Science, Bind 12265 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. Udgivet

      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. (red.). Springer, s. 295-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14222 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Udgivet

      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. (red.). SPIE, s. 1-9 1203232. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 12032).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    8. Udgivet

      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, I: Medical Physics. 47, 8, s. 3721-3731

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    9. Udgivet

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

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    10. Udgivet

      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, I: Neurocomputing. 392, s. 181-188

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    11. 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) I: IEEE Journal of Biomedical and Health Informatics. 19 s.

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    12. Udgivet

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

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

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    13. Udgivet

      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, I: Scientific Reports. 13, 1, 14 s., 1135.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    14. Udgivet

      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 flere, 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, I: Scientific Reports. 11, 1, 12 s., 3246.

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    15. Udgivet

      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, I: International Journal of Computer Assisted Radiology and Surgery. 15, 3, s. 425-436 12 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    16. Udgivet

      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. (red.). SPIE, 4 s. 120320C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 12032).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    17. Udgivet

      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 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    18. Udgivet

      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 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    19. Udgivet

      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, I: Biomedical Signal Processing and Control. 62, 12 s., 102085.

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    20. 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) I: KI - Künstliche Intelligenz. 8 s.

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    21. Udgivet

      Changes in Radiologists’ Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment

      Pershin, I., Mustafaev, T., Ibragimova, D. & Ibragimov, Bulat, 2023, I: Journal of Digital Imaging. 36, 3, s. 767-775

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    22. Udgivet

      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

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    23. Udgivet

      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, I: IEEE Journal of Biomedical and Health Informatics. 26, 9, s. 4541-4550

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    24. Udgivet

      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. (red.). SPIE, 4 s. 120350Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 12035).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    25. Udgivet

      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, s. 1-4

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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