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2020 – today
- 2024
[c8]Gleb Danilov
, Alexander Shevchenko, Ramin Afandiev, Artem Batalov, Eudard Pogosbekyan, Natalia Zakharova, Svetlana Shugay, Igor Pronin:
Reproducibility of Radiomic Features in Glial Brain Tumors. MIE 2024: 1165-1166- 2023
- [c7]Gleb Danilov, Ramin Afandiev, Eudard Pogosbekyan, Sergey Goryaynov, Igor Pronin, Natalia Zakharova:
Radiomics Enhances Diagnostic and Prognostic Value of Diffusion Kurtosis Imaging in Diffuse Axonal Injury. EFMI-STC 2023: 287-291 - [c6]Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Tatiana Konakova, Anna Zagorodnova, Angelina Popova, Andrey Postnov, Svetlana Shugay, Michael Shifrin, Igor Pronin:
The Assessment of Glioblastoma Metabolic Activity via 11C-Methionine PET and Radiomics. MIE 2023: 972-976 - 2021
- [c5]Gleb Danilov, Michael Shifrin, Yulia Strunina, Timur Ishankulov, Timur Zagidullin, Elizaveta Makashova, Igor Pronin, Nikolay Konovalov, Alexander Potapov:
Best Research Practice Implementation: The Experience of the N.N. Burdenko National Medical Research Center of Neurosurgery. EFMI-STC 2021: 40-44 - [c4]Gleb Danilov, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan, Daniel Saada, Timur Ishankulov, Ramin Afandiev, Alexander Shevchenko, Tatyana Konakova, Tatyana Tsukanova, Svetlana Shugay, Igor Pronin, Alexander Potapov:
Noninvasive Glioma Grading with Deep Learning: A Pilot Study. MedInfo 2021: 675-678 - [c3]Alexandra Kosyrkova, Eugene Ilyushin, Daniel Saada, Ramin Afandiev, Alexander Baev, Eudard Pogosbekyan, Vladimir Okhlopkov, Gleb Danilov, Artem Batalov, Igor Pronin, Natalia Zakharova, Anna Ogurtsova, Alexander Kravchuck, David Pitskhelauri, Alexander Potapov, Sergey Goryaynov:
Predicting the Increase in Postoperative Motor Deficits in Patients with Supratentorial Gliomas Using Machine Learning Methods. DAMDID/RCDL (Supplementary Proceedings) 2021: 120-133
2010 – 2019
- 2019
- [c2]Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev:
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. iMIMIC/ML-CDS@MICCAI 2019: 30-38 - [i1]Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev:
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. CoRR abs/1908.04568 (2019) - 2018
- [c1]Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein:
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. ICDM Workshops 2018: 292-298
Coauthor Index
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