Bulat Ibragimov
Lektor, Lektor - forfremmelsesprogrammet
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Medlem af:
- 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. 3721-3731Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › 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
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Machine Learning for Image-Based Radiotherapy Outcome Prediction
Ibragimov, Bulat, 2023, Artificial Intelligence in Radiation Oncology and Biomedical Physics. Valdes, G. & Xing, L. (red.). CRC Press, s. 25-52 28 s.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 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. 90358-90366Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
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
- 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
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/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
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 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
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
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Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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