Bulat Ibragimov

Bulat Ibragimov

!!Tenure Track Adjunkt

ORCID: 0000-0001-7739-7788

Publication year:
All
1 - 9 out of 9Page size: 10
  1. 2021
  2. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, Casper, Hansen, Christian, Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, Stephan Sloth, Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, Hans-Christian, Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In : Scientific Reports. 11, 1, 12 p., 3246.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 2020
  4. 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-e950

    Research output: Contribution to journal › Review › Research › peer-review

  5. 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. 181-188

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. 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

  7. E-pub ahead of print

    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, 2020, In : IEEE Journal of Biomedical and Health Informatics.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. 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. 3721-3731

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 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

  10. 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

  11. 2019
  12. 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