Bulat Ibragimov
Associate Professor, Associate Professor - Promotion Programme
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Member of:
- 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. 90358-90366Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- Published
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. (eds.). SPIE, p. 1-9 1203232. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12032).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Springer, p. 295-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14222 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Springer VS, p. 184-193 10 p. (Lecture Notes in Computer Science, Vol. 12265 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- Published
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. (eds.). SPIE - International Society for Optical Engineering, 11 p. 115960O. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 11596).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- Published
Recognition of radiological decision errors from eye movement during chest X-ray readings
Anikina, Anna, Pershin, I., Mustafaev, T. & Ibragimov, Bulat, 2024, Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R., Mello-Thoms, C. R. & Chen, Y. (eds.). SPIE, 4 p. 129290A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12929).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 2115–2124Research output: Contribution to journal › Journal article › Research › peer-review
ID: 219366603
Most downloads
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241
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
23
downloads
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Research output: Contribution to journal › Journal article › Research › peer-review
Published