Generating Mammography Reports from Multi-view Mammograms with BERT

no code implementations • Findings (EMNLP) 2021 • Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov

Writing mammography reports can be error-prone and time-consuming for radiologists.

Decoder

End-to-end SYNTAX score prediction: benchmark and methods

no code implementations • 29 Jul 2024 • Alexander Ponomarchuk, Ivan Kruzhilov, Galina Zubkova, Artem Shadrin, Ruslan Utegenov, Ivan Bessonov, Pavel Blinov

The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization.

Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough

no code implementations • 12 Jul 2021 • Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov

The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions.

Denoising

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

no code implementations • 25 May 2021 • Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

Analysis of chest CT scans can be used in detecting parts of lungs that are affected by infectious diseases such as COVID-19. Determining the volume of lungs affected by lesions is essential for formulating treatment recommendations and prioritizingpatients by severity of the disease.

Segmentation