Bulat Ibragimov
Associate Professor, Associate Professor - Promotion Programme
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
Member of:
- 2024
- 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
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
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
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
Prediction of pulp exposure before caries excavation using artificial intelligence: Deep learning-based image data versus standard dental radiographs
bzd222, bzd222, Dascalu, Tudor-Laurentiu, Ibragimov, Bulat, Bakhshandeh, Azam & Bjørndal, Lars, Nov 2023, In: Journal of Dentistry. 138, 7 p., 104732.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
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
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
The efficiency of artificial intelligence methods for finding radiographic features in different endodontic treatments - a systematic review
bzd222, bzd222, Dascalu, Tudor-Laurentiu, Bakhshandeh, Azam, Ibragimov, Bulat, Kvist, T., EndoReCo, E. & Bjørndal, Lars, 2023, In: Acta Odontologica Scandinavica. 81, 6, p. 422-435 14 p.Research output: Contribution to journal › Review › Research › peer-review
- 2022
- Published
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, In: European Spine Journal. 31, p. 2115–2124Research output: Contribution to journal › Journal article › 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
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, In: Medical Image Analysis. 78, 14 p., 102417.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
Vrtovec, T. & Ibragimov, Bulat, 2022, In: European Spine Journal. 31, p. 2031–2045Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
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, In: IEEE Access. 9, p. 42424-42437 14 p., 9378518.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on The Kaggle Competition and Validation Against Radiologists
Tolkachev, A., Sirazitdinov, I., Kholiavchenko, M., Mustafaev, T. & Ibragimov, Bulat, 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 5, p. 1660-1672Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation
Yang, C., Guo, X., Zhu, M., Ibragimov, Bulat & Yuan, Y., 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 10, p. 3886-3897Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
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, In: Medical Physics. 47, 9, p. e929-e950Research output: Contribution to journal › Review › Research › peer-review
- Published
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, In: Neurocomputing. 392, p. 181-188Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Contour-aware multi-label chest X-ray organ segmentation
Kholiavchenko, M., Sirazitdinov, I., Kubrak, K., Badrutdinova, R., Kuleev, R., Yuan, Y., Vrtovec, T. & Ibragimov, Bulat, 2020, In: International Journal of Computer Assisted Radiology and Surgery. 15, 3, p. 425-436 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Medical Physics. 47, 8, p. 3721-3731Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Densely Connected Neural Network with Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition
Yuan, Y., Qin, W., Ibragimov, Bulat, Zhang, G., Han, B., Meng, M. Q. H. & Xing, L., 2020, In: IEEE Transactions on Automation Science and Engineering. 17, 2, p. 574-583 10 p., 8842597.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow
Liu, H., Lin, Y., Ibragimov, Bulat & Zhang, C., 2020, In: Biomedical Signal Processing and Control. 62, 12 p., 102085.Research output: Contribution to journal › Journal article › Research › peer-review
- 2019
- Published
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, In: IEEE Journal of Biomedical and Health Informatics. 23, 5, p. 1821-1833 13 p., 8664101.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 219366603
Most downloads
-
239
downloads
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