Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. - Maksim Sharaev; Alexander Smirnov; Tatiana Melnikova-Pitskhelauri; Vyacheslav A. Orlov; Evgeny Burnaev; Igor Pronin; David Pitskhelauri; Alexander Bernstein (ICDM Workshops, 2018)

Prediction of Postoperative Speech Dysfunction Based on Cortico-Cortical Evoked Potentials and Machine Learning. - Timur Ishankulov; Gleb Danilov; David Pitskhelauri; Oleg Titov; Anna Ogurtsova; Svetlana Buklina; Evgeniy Gulaev; Tatyana Konakova; Andrey Bykanov (ICIMTH, 2021)

Predicting the Increase in Postoperative Motor Deficits in Patients with Supratentorial Gliomas Using Machine Learning Methods. - Alexandra Kosyrkova; Eugene Ilyushin; Daniel Saada; Ramin Afandiev; Alexander Baev; Eudard Pogosbekyan; Vladimir Okhlopkov; Gleb Danilov; Artem Batalov; Igor Pronin; Natalia Zakharova; Anna Ogurtsova; et al. (DAMDID/RCDL (Supplementary Proceedings), 2021)

A Neurosurgical Instrument Segmentation Approach to Assess Microsurgical Movements. - Gleb Danilov; Oleg Pilipenko; Vasiliy Kostyumov; Sergey Trubetskoy; Narek Maloyan; Bulat Nutfullin; Eugeniy Ilyushin; David Pitskhelauri; Alexandra Zelenova; Andrey Bykanov (EFMI-STC, 2024)

Computer Vision for Assessing Surgical Movements in Neurosurgery. - Gleb Danilov; Vasiliy Kostyumov; Oleg Pilipenko; Eugene Ilyushin; David Pitskhelauri; Alexandra Zelenova; Andrey Bykanov (MIE, 2024)