Bulat Ibragimov
Lektor, Lektor - forfremmelsesprogrammet
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Medlem af:
- 2020
- 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/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
- 2021
- 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
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
- 2022
- 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
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
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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. 1-4Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › 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
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