Bulat Ibragimov

Bulat Ibragimov

Lektor, Lektor - forfremmelsesprogrammet

Medlem af:

    ORCID: 0000-0001-7739-7788

    Udgivelsesår:
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    1 - 9 ud af 9Pr. side: 50
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    1. 2023
    2. 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

    3. Udgivet

      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, I: Journal of Dentistry. 138, 7 s., 104732.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    4. 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

    5. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. 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

    7. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    8. Udgivet

      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, I: Medical Physics. 50, 3, 11 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    9. Udgivet

      Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

      Podobnik, G., Strojan, P., Peterlin, P., Ibragimov, Bulat & Vrtovec, T., 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. 745-755 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14223 LNCS).

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

    10. Udgivet

      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, I: Acta Odontologica Scandinavica. 81, 6, s. 422-435 14 s.

      Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

    ID: 219366603