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Bulat Ibragimov

Showing results (1-10 of 52) with videos related to

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European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|March 12, 2022
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluationTomaž Vrtovec, Bulat Ibragimov
Medical Physics|February 17, 2017
Segmentation of organs-at-risks in head and neck CT images using convolutional neural networksBulat Ibragimov, Lei Xing
IEEE Journal of Biomedical and Health Informatics|February 29, 2024
The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A ReviewBulat Ibragimov, Claudia Mello-Thoms
Journal of Medical Imaging (Bellingham, Wash.)|January 19, 2017
Fully automated quantitative cephalometry using convolutional neural networksSercan Ö Arık, Bulat Ibragimov, Lei Xing
IEEE Transactions on Medical Imaging|June 14, 2012
A game-theoretic framework for landmark-based image segmentationBulat Ibragimov, Boštjan Likar, Franjo Pernus, et al.
Journal of Digital Imaging|January 9, 2023
Changes in Radiologists' Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized ExperimentIlya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, et al.
IEEE Transactions on Medical Imaging|April 9, 2014
Shape representation for efficient landmark-based segmentation in 3-dBulat Ibragimov, Boštjan Likar, Franjo Pernuš, et al.
BMC Oral Health|July 10, 2024
AI-initiated second opinions: a framework for advanced caries treatment planningTudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh, et al.
IEEE Journal of Biomedical and Health Informatics|September 21, 2020
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against RadiologistsAlexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, et al.
Medical Physics|January 3, 2023
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation datasetGašper Podobnik, Primož Strojan, Primož Peterlin, et al.
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|March 12, 2022
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluationTomaž Vrtovec, Bulat Ibragimov
Medical Physics|February 17, 2017
Segmentation of organs-at-risks in head and neck CT images using convolutional neural networksBulat Ibragimov, Lei Xing
IEEE Journal of Biomedical and Health Informatics|February 29, 2024
The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A ReviewBulat Ibragimov, Claudia Mello-Thoms
Journal of Medical Imaging (Bellingham, Wash.)|January 19, 2017
Fully automated quantitative cephalometry using convolutional neural networksSercan Ö Arık, Bulat Ibragimov, Lei Xing
IEEE Transactions on Medical Imaging|June 14, 2012
A game-theoretic framework for landmark-based image segmentationBulat Ibragimov, Boštjan Likar, Franjo Pernus, et al.
Journal of Digital Imaging|January 9, 2023
Changes in Radiologists' Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized ExperimentIlya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, et al.
IEEE Transactions on Medical Imaging|April 9, 2014
Shape representation for efficient landmark-based segmentation in 3-dBulat Ibragimov, Boštjan Likar, Franjo Pernuš, et al.
BMC Oral Health|July 10, 2024
AI-initiated second opinions: a framework for advanced caries treatment planningTudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh, et al.
IEEE Journal of Biomedical and Health Informatics|September 21, 2020
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against RadiologistsAlexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, et al.
Medical Physics|January 3, 2023
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation datasetGašper Podobnik, Primož Strojan, Primož Peterlin, et al.
Pageof 6