Bulat Ibragimov
Lektor, Lektor - forfremmelsesprogrammet
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Medlem af:
- 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
- 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. 2115–2124Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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. 4541-4550Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- 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-e950Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
- 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. 181-188Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- 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
ID: 219366603
Flest downloads
-
236
downloads
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
23
downloads
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet