Gleb Danilov - RankMe

27 papers Unranked 27

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	A Neurosurgical Instrument Segmentation Approach to Assess Microsurgical Movements. EFMI-STC Gleb Danilov, Oleg Pilipenko, Vasiliy Kostyumov, Sergey Trubetskoy, Narek Maloyan, Bulat Nutfullin, Eugeniy Ilyushin, David Pitskhelauri, Alexandra Zelenova, Andrey Bykanov
2024	—	`conf`	Computer Vision for Assessing Surgical Movements in Neurosurgery. MIE Gleb Danilov, Vasiliy Kostyumov, Oleg Pilipenko, Eugene Ilyushin, David Pitskhelauri, Alexandra Zelenova, Andrey Bykanov
2024	—	`conf`	Reproducibility of Radiomic Features in Glial Brain Tumors. MIE Gleb Danilov, Alexander Shevchenko, Ramin Afandiev, Artem Batalov, Eudard Pogosbekyan, Natalia Zakharova, Svetlana Shugay, Igor Pronin
2023	—	`conf`	Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool. ICIMTH Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina, Tatiana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Valeriy Danilov, Alexander Potapov
2023	—	`conf`	Radiogenomics in NF2-Associated Schwannomatosis (Neurofibromatosis Type II): Exploratory Data Analysis. ICIMTH Gleb Danilov, Elizaveta Makashova, Mikhail Galkin, Kristina Karandasheva
2023	—	`conf`	Radiomics Enhances Diagnostic and Prognostic Value of Diffusion Kurtosis Imaging in Diffuse Axonal Injury. EFMI-STC Gleb Danilov, Ramin Afandiev, Eudard Pogosbekyan, Sergey Goryaynov, Igor Pronin, Natalia Zakharova
2023	—	`conf`	The Assessment of Glioblastoma Metabolic Activity via MIE Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Tatiana Konakova, Anna Zagorodnova, Angelina Popova, Andrey Postnov, Svetlana Shugay, Michael Shifrin, Igor Pronin
2022	—	`conf`	Artificial Intelligence: On the Way to Doctor's Trust. ICIMTH Michael Shifrin, Anton Khavtorin, Gleb Danilov
2022	—	`conf`	Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms. ICIMTH Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulya Strunina, Tatiana Pronkina, Tatyana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Alexander Potapov
2022	—	`conf`	Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model. ICIMTH Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov
2022	—	`conf`	The Prediction of Functional Outcome After Microsurgical Treatment of Unruptured Intracranial Aneurysm Based on Machine Learning. MIE Timur Ishankulov, Fyodor Grebenev, Uliya Strunina, Oleg Shekhtman, Shalva Eliava, Gleb Danilov
2021	—	`conf`	A Comparison of Word Embeddings to Study Complications in Neurosurgery. ICIMTH 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
2021	—	`conf`	Best Research Practice Implementation: The Experience of the N.N. Burdenko National Medical Research Center of Neurosurgery. EFMI-STC Gleb Danilov, Michael Shifrin, Yulia Strunina, Timur Ishankulov, Timur Zagidullin, Elizaveta Makashova, Igor Pronin, Nikolay Konovalov, Alexander Potapov
2021	—	`conf`	Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches. MIE Gleb Danilov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov
2021	—	`conf`	Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations. ICIMTH Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael A. Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov
2021	—	`conf`	Noninvasive Glioma Grading with Deep Learning: A Pilot Study. MedInfo 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
2021	—	`conf`	Predicting the Increase in Postoperative Motor Deficits in Patients with Supratentorial Gliomas Using Machine Learning Methods. DAMDID/RCDL (Supplementary Proceedings) 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
2021	—	`conf`	Prediction of Postoperative Speech Dysfunction Based on Cortico-Cortical Evoked Potentials and Machine Learning. ICIMTH Timur Ishankulov, Gleb Danilov, David Pitskhelauri, Oleg Titov, Anna Ogurtsova, Svetlana Buklina, Evgeniy Gulaev, Tatyana Konakova, Andrey Bykanov
2021	—	`conf`	Semiautomatic Identification of Pulmonary Embolism in Electronic Health Records Through Sentence Labeling. ICIMTH Gleb Danilov, Timur Ishankulov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov
2021	—	`conf`	The Classification of Scientific Abstracts Using Text Statistical Features. MedInfo Timur Ishankulov, Gleb Danilov, Konstantin Kotik, Yuriy Orlov, Mikhail Shifrin, Alexander Potapov
2021	—	`conf`	The Classification of Short Scientific Texts Using Pretrained BERT Model. MIE Gleb Danilov, Timur Ishankulov, Konstantin Kotik, Yuriy Orlov, Michael A. Shifrin, Alexander Potapov
2020	—	`conf`	Detection of Muscle Weakness in Medical Texts Using Natural Language Processing. MIE Gleb Danilov, Michael A. Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova, Tatiana Pronkina, Timur Ishankulov, Elizaveta Makashova, Alexandra Kosyrkova, Alexander Potapov
2020	—	`conf`	Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports. MIE Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov
2019	—	`conf`	An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language. ICIMTH Gleb Danilov, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov
2019	—	`conf`	Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery. EFMI-STC Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov
2018	—	`conf`	Diagnostic Games as a Teaching Tool. ICIMTH Michael A. Shifrin, Gleb Danilov, Nikita E. Shklovskiy-Kordi, Boris Zingerman
2015	—	`conf`	Electronic patient records system as a monitoring tool. MIE Michael A. Shifrin, Natalia Kurdumova, Gleb Danilov, Olga Ershova, Ivan Savin, Irina Alexandrova, Ekaterina Sokolova, Togrul Tabasaranskiy