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ORCIDGleb Danilov
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2020 – today
- 2024
[c26]Gleb Danilov
, Vasiliy Kostyumov, Oleg Pilipenko, Eugene Ilyushin, David Pitskhelauri, Alexandra Zelenova, Andrey Bykanov:
Computer Vision for Assessing Surgical Movements in Neurosurgery. MIE 2024: 934-938- [c25]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
- [c24]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 - [c23]Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina, Tatiana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Valeriy Danilov, Alexander Potapov:
Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool. ICIMTH 2023: 369-372 - [c22]Gleb Danilov, Elizaveta Makashova, Mikhail Galkin, Kristina Karandasheva:
Radiogenomics in NF2-Associated Schwannomatosis (Neurofibromatosis Type II): Exploratory Data Analysis. ICIMTH 2023: 588-591 - [c21]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 - 2022
- [c20]Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulya Strunina, Tatiana Pronkina, Tatyana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Alexander Potapov:
Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms. ICIMTH 2022: 418-421 - [c19]Michael Shifrin, Anton Khavtorin, Gleb Danilov:
Artificial Intelligence: On the Way to Doctor's Trust. ICIMTH 2022: 534-537 - [c18]Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov:
Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model. ICIMTH 2022: 555-558 - [c17]Timur Ishankulov, Fyodor Grebenev, Uliya Strunina, Oleg Shekhtman, Shalva Eliava, Gleb Danilov:
The Prediction of Functional Outcome After Microsurgical Treatment of Unruptured Intracranial Aneurysm Based on Machine Learning. MIE 2022: 470-474 - 2021
- [c16]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 - [c15]Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Yuliya Strunina, Tatyana Pronkina, Tatyana Tsukanova, Timur Ishankulov, Maria Shults, Elizaveta Makashova, Yaroslav Latyshev, Rinat Sufianov, Oleg Sharipov, Anton Nazarenko, Nikolay Konovalov, Alexander Potapov:
A Comparison of Word Embeddings to Study Complications in Neurosurgery. ICIMTH 2021: 5-8 - [c14]Timur Ishankulov, Gleb Danilov, David Pitskhelauri, Oleg Titov, Anna Ogurtsova, Svetlana Buklina, Evgeniy Gulaev, Tatyana Konakova, Andrey Bykanov:
Prediction of Postoperative Speech Dysfunction Based on Cortico-Cortical Evoked Potentials and Machine Learning. ICIMTH 2021: 33-36 - [c13]Gleb Danilov, Timur Ishankulov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov:
Semiautomatic Identification of Pulmonary Embolism in Electronic Health Records Through Sentence Labeling. ICIMTH 2021: 69-72 - [c12]Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael A. Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov:
Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations. ICIMTH 2021: 156-159 - [c11]Timur Ishankulov, Gleb Danilov, Konstantin Kotik, Yuriy Orlov, Mikhail Shifrin, Alexander Potapov:
The Classification of Scientific Abstracts Using Text Statistical Features. MedInfo 2021: 263-267 - [c10]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 - [c9]Gleb Danilov, Timur Ishankulov, Konstantin Kotik, Yuriy Orlov, Michael A. Shifrin, Alexander Potapov:
The Classification of Short Scientific Texts Using Pretrained BERT Model. MIE 2021: 83-87 - [c8]Gleb Danilov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov:
Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches. MIE 2021: 118-122 - [c7]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 - 2020
- [c6]Gleb Danilov, Michael A. Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova, Tatiana Pronkina, Timur Ishankulov, Elizaveta Makashova, Alexandra Kosyrkova, Alexander Potapov:
Detection of Muscle Weakness in Medical Texts Using Natural Language Processing. MIE 2020: 163-167 - [c5]Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov:
Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports. MIE 2020: 382-386
2010 – 2019
- 2019
- [c4]Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov:
Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery. EFMI-STC 2019: 125-129 - [c3]Gleb Danilov, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov:
An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language. ICIMTH 2019: 194-197 - 2018
- [c2]Michael A. Shifrin, Gleb Danilov, Nikita E. Shklovskiy-Kordi, Boris Zingerman:
Diagnostic Games as a Teaching Tool. ICIMTH 2018: 305-308 - 2015
- [c1]Michael A. Shifrin, Natalia Kurdumova, Gleb Danilov, Olga Ershova, Ivan Savin, Irina Alexandrova, Ekaterina Sokolova, Togrul Tabasaranskiy:
Electronic patient records system as a monitoring tool. MIE 2015: 236-238
Coauthor Index
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