Ilyas Sirazitdinov

According to our database, Ilyas Sirazitdinov authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bottom-Up Instance Segmentation of Catheters for Chest X-Rays.

Francesca Boccardi, Axel Saalbach, Heinrich Schulz, Samuele Salti, Ilyas Sirazitdinov

CoRR, 2023

2022

Tubular shape aware data generation for segmentation in medical imaging.

Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov

Int. J. Comput. Assist. Radiol. Surg., 2022

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks.

Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.

Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov

IEEE J. Biomed. Health Informatics, 2021

Landmark Constellation Models For Central Venous Catheter Malposition Detection.

Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging.

Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov

CoRR, 2020

Contour-aware multi-label chest X-ray organ segmentation.

Maksym Kholiavchenko, Ilyas Sirazitdinov, Konstantin Kubrak, R. Badrutdinova, Ramil Kuleev, Yixuan Yuan, Tomaz Vrtovec, Bulat Ibragimov

Int. J. Comput. Assist. Radiol. Surg., 2020

Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography.

Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database.

Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov

Comput. Electr. Eng., 2019

Initial evaluation of the brain activity under different software development situations.

Rustam Ikramov, Vladimir Ivanov, Sergey Masyagin, Ruslan Shakirov, Ilyas Sirazidtinov, Giancarlo Succi, Ananga Thapaliya, Alexander Tormasov, Oydinoy Zufarova

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Data Augmentation for Chest Pathologies Classification.

Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Understanding the impact of pair programming on the minds of developers.

Sara Busechian, Vladimir Ivanov, Alan Rogers, Ilyas Sirazitdinov, Giancarlo Succi, Alexander Tormasov, Jooyong Yi

Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018