Michael Shifrin

According to our database, Michael Shifrin authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Identifiability Study of Near-Field Automotive SAR.

Michael Shifrin, Joseph Tabrikian, Igal Bilik

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

The Assessment of Glioblastoma Metabolic Activity via ¹¹C-Methionine PET and Radiomics.

Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Tatiana Konakova, Anna Zagorodnova, Angelina Popova, Andrey Postnov, Svetlana Shugay, Michael Shifrin, Igor Pronin

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool.

Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina, Tatiana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Valeriy Danilov, Alexander Potapov

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Artificial Intelligence: On the Way to Doctor's Trust.

Michael Shifrin, Anton Khavtorin, Gleb Danilov

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.

Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms.

Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulya Strunina, Tatiana Pronkina, Tatyana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Alexander Potapov

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Noninvasive Glioma Grading with Deep Learning: A Pilot Study.

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

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Best Research Practice Implementation: The Experience of the N.N. Burdenko National Medical Research Center of Neurosurgery.

Gleb Danilov, Michael Shifrin, Yulia Strunina, Timur Ishankulov, Timur Zagidullin, Elizaveta Makashova, Igor Pronin, Nikolay Konovalov, Alexander Potapov

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

2019

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.

Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019