Bulat Ibragimov
Associate Professor, Associate Professor - Promotion Programme
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Member of:
- 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) In: KI - Künstliche Intelligenz. 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Changes in Radiologists’ Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment
Pershin, I., Mustafaev, T., Ibragimova, D. & Ibragimov, Bulat, 2023, In: Journal of Digital Imaging. 36, 3, p. 767-775Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, In: IEEE Journal of Biomedical and Health Informatics. 26, 9, p. 4541-4550Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). SPIE, 4 p. 120350Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12035).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, p. 1-4Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Springer, p. 745-755 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14223 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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) In: Medical Physics. 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Medical Physics. 50, 3, 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). SPIE, p. 1-8 120321N. (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
ID: 219366603
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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
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Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Research output: Contribution to journal › Journal article › Research › peer-review
Published