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.
no code implementations • 23 Apr 2024 • Esam Ghaleb, Ilya Burenko, Marlou Rasenberg, Wim Pouw, Ivan Toni, Peter Uhrig, Anna Wilson, Judith Holler, Aslı Özyürek, Raquel Fernández
Our findings indicate that expanding the speech buffer beyond visual time segments improves performance and that multimodal integration using cross-modal and early fusion techniques outperforms baseline methods using unimodal and late fusion methods.
1 code implementation • 21 Aug 2023 • Esam Ghaleb, Ilya Burenko, Marlou Rasenberg, Wim Pouw, Peter Uhrig, Judith Holler, Ivan Toni, Aslı Özyürek, Raquel Fernández
Yet, the prevalent approach to automatic gesture detection treats the problem as binary classification, classifying a segment as either containing a gesture or not, thus failing to capture its inherently sequential and contextual nature.
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.
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.