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Tamerlan Mustafaev

Showing results (1-10 of 11) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2023
Impact of GAN artifacts for simulating mammograms on identifying mammographically occult cancerJuhun Lee, Tamerlan Mustafaev, Robert M Nishikawa
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 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.
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|May 21, 2022
A deep learning framework for vertebral morphometry and Cobb angle measurement with external validationDanis Alukaev, Semen Kiselev, Tamerlan Mustafaev, et al.
Artificial Intelligence in Medicine|December 21, 2024
Prediction of radiological decision errors from longitudinal analysis of gaze and image featuresAnna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, et al.
IEEE Journal of Biomedical and Health Informatics|June 15, 2022
Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze PatternsIlya Pershin, Maksim Kholiavchenko, Bulat Maksudov, et al.
Journal of Imaging Informatics in Medicine|June 22, 2026
MammoDenseSegNet: A Context-Aware Deep Learning Model for Dense Tissue Segmentation in Digital MammogramsRazieh Ganjee, Andriy Bandos, Md Belayat Hossain, et al.
Medical Image Analysis|March 24, 2022
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantificationImad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, et al.
Scientific Reports|January 20, 2023
A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosisBulat Ibragimov, Kirill Arzamasov, Bulat Maksudov, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
CT-Derived Features as Predictors of Clot Burden and ResolutionQuentin Auster, Omar Almetwali, Tong Yu, et al.
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Showing results (1-10 of 11) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2023
Impact of GAN artifacts for simulating mammograms on identifying mammographically occult cancerJuhun Lee, Tamerlan Mustafaev, Robert M Nishikawa
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 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.
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|May 21, 2022
A deep learning framework for vertebral morphometry and Cobb angle measurement with external validationDanis Alukaev, Semen Kiselev, Tamerlan Mustafaev, et al.
Artificial Intelligence in Medicine|December 21, 2024
Prediction of radiological decision errors from longitudinal analysis of gaze and image featuresAnna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, et al.
IEEE Journal of Biomedical and Health Informatics|June 15, 2022
Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze PatternsIlya Pershin, Maksim Kholiavchenko, Bulat Maksudov, et al.
Journal of Imaging Informatics in Medicine|June 22, 2026
MammoDenseSegNet: A Context-Aware Deep Learning Model for Dense Tissue Segmentation in Digital MammogramsRazieh Ganjee, Andriy Bandos, Md Belayat Hossain, et al.
Medical Image Analysis|March 24, 2022
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantificationImad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, et al.
Scientific Reports|January 20, 2023
A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosisBulat Ibragimov, Kirill Arzamasov, Bulat Maksudov, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
CT-Derived Features as Predictors of Clot Burden and ResolutionQuentin Auster, Omar Almetwali, Tong Yu, et al.
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