Bulat Ibragimov
Associate Professor, Associate Professor - Promotion Programme
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Member of:
- 2024
- 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
- 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) In: IEEE Journal of Biomedical and Health Informatics. 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- 2023
- 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
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
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
Machine Learning for Image-Based Radiotherapy Outcome Prediction
Ibragimov, Bulat, 2023, Artificial Intelligence in Radiation Oncology and Biomedical Physics. Valdes, G. & Xing, L. (eds.). CRC Press, p. 25-52 28 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › 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
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