Bulat Ibragimov

Bulat Ibragimov

Lektor, Lektor - forfremmelsesprogrammet


  1. 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 tidsskriftTidsskriftartikelfagfællebedømt

  2. 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 tidsskriftTidsskriftartikelfagfællebedømt

  3. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. 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.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  5. 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 tidsskriftTidsskriftartikelfagfællebedømt

  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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    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, I: Medical Physics. 47, 9, s. e929-e950

    Publikation: Bidrag til tidsskriftReviewfagfællebedømt

  8. 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

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  9. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  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) I: KI - Künstliche Intelligenz. 8 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  12. 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 tidsskriftTidsskriftartikelfagfællebedømt

  13. 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 tidsskriftTidsskriftartikelfagfællebedømt

  14. 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

  15. 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 tidsskriftTidsskriftartikelfagfællebedømt

  16. 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 tidsskriftTidsskriftartikelfagfællebedømt

  17. 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 tidsskriftTidsskriftartikelfagfællebedømt

  18. 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 tidsskriftTidsskriftartikelfagfællebedømt

  19. 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 tidsskriftTidsskriftartikelfagfællebedømt

  20. 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

  21. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  22. 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 tidsskriftTidsskriftartikelfagfællebedømt

  23. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  24. 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.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  25. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  26. 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 tidsskriftTidsskriftartikelfagfællebedømt

  27. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  28. Udgivet

    Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation

    Yang, C., Guo, X., Zhu, M., Ibragimov, Bulat & Yuan, Y., 2021, I: IEEE Journal of Biomedical and Health Informatics. 25, 10, s. 3886-3897

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  29. 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.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  30. Udgivet

    Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis

    Podobnik, G., Strojan, P., Peterlin, P., Ibragimov, Bulat & Vrtovec, T., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (red.). SPIE, s. 1-8 120321N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 12032).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  31. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  32. Udgivet
  33. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  34. Udgivet

    Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

    Yang, Q., Liu, X., Chen, Z., Ibragimov, Bulat & Yuan, Y., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer, s. 119-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13438 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  35. Udgivet

    Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation

    Vrtovec, T. & Ibragimov, Bulat, 2022, I: European Spine Journal. 31, s. 2031–2045

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  36. 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.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  37. 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 tidsskriftReviewfagfællebedømt

  38. 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) I: Medical Physics. 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

ID: 219366603