Talgat Saparov

According to our database, Talgat Saparov authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.

Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

CoRR, 2024

The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography.

Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncharov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

2021

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.

Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva

Proceedings of the Public Health and Informatics, 2021

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.

Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021