Ilyas Sirazitdinov

Graduated from: Innopolis University

Research interests: deep learning, computer vision, medical image analysis

Academic mobility: Philips Research, Moscow – industrial Ph.D.

Publications:

• Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. Authors Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V Dylov. Publication date 2020/10/2.
• Journal arXiv preprint arXiv:2010.00907 Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on The Kaggle Competition and Validation Against Radiologists. Authors Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov Publication date 2020/9/21. Journal IEEE Journal of Biomedical and Health Informatics
• Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. Authors Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yuan Yixuan, Ramil Kuleev, Bulat Ibragimov. Publication date 2019/9/1. Journal Computers & Electrical Engineering, Volume 78