Bulat Ibragimov

Bulat Ibragimov

Lektor, Lektor - forfremmelsesprogrammet


  1. 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.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. 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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    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, I: IEEE Journal of Biomedical and Health Informatics. 25, 5, s. 1660-1672

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. 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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. 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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. Udgivet

    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, I: IEEE Transactions on Automation Science and Engineering. 17, 2, s. 574-583 10 s., 8842597.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. 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.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. Udgivet

    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. (red.). Springer VS, s. 247-257 11 s. (Lecture Notes in Computer Science, Bind 12396 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 219366603