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Mikhail I Krivonosov

Showing results (1-10 of 16) with videos related to

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Cancers|June 19, 2024
Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO): A Global Gynaecological Oncology Surgical Outcomes Collaborative Led StudyFaiza Gaba, Sara Mahvash Mohammadi, Mikhail I Krivonosov, et al.
Cancers|May 13, 2026
Synolitic Graph Neural Networks for MRI-Derived Radiomic-Based Prediction of Prostate Cancer Progression on Active SurveillanceMikhail I Krivonosov, Arseniy Trukhanov, Nikita Sushentsev, et al.
Genes|January 21, 2023
New Genetically Determined Markers of the Functional State of the Cardiovascular SystemElena V Kondakova, Valeria M Ilina, Lyubov M Ermakova, et al.
Plos One|January 20, 2018
Chemotactic drift speed for bacterial motility pattern with two alternating turning eventsEvgeniya V Pankratova, Alena I Kalyakulina, Mikhail I Krivonosov, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 4, 2023
Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte NetworkSusanna Gordleeva, Yuliya A Tsybina, Mikhail I Krivonosov, et al.
Cancer Medicine|April 10, 2024
Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkersLuis Abrego, Alexey Zaikin, Ines P Marino, et al.
Membranes|October 27, 2022
Unravelling Contributions of Astrocytic Connexin 43 to the Functional Activity of Brain Neuron-Glial Networks under Hypoxic State In VitroTatiana A Mishchenko, Roman S Yarkov, Mariia O Saviuk, et al.
Frontiers in Cellular Neuroscience|April 19, 2021
Modeling Working Memory in a Spiking Neuron Network Accompanied by AstrocytesSusanna Yu Gordleeva, Yuliya A Tsybina, Mikhail I Krivonosov, et al.
International Journal of Molecular Sciences|October 29, 2020
Signatures of the Consolidated Response of Astrocytes to Ischemic Factors In VitroElena V Mitroshina, Mikhail I Krivonosov, Dmitriy E Burmistrov, et al.
Npj Aging|December 18, 2025
Cognitive aging clock based on Explainable artificial intelligenceMikhail I Krivonosov, Tatiana A Khabarova, Elena V Kondakova, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Cancers|June 19, 2024
Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO): A Global Gynaecological Oncology Surgical Outcomes Collaborative Led StudyFaiza Gaba, Sara Mahvash Mohammadi, Mikhail I Krivonosov, et al.
Cancers|May 13, 2026
Synolitic Graph Neural Networks for MRI-Derived Radiomic-Based Prediction of Prostate Cancer Progression on Active SurveillanceMikhail I Krivonosov, Arseniy Trukhanov, Nikita Sushentsev, et al.
Genes|January 21, 2023
New Genetically Determined Markers of the Functional State of the Cardiovascular SystemElena V Kondakova, Valeria M Ilina, Lyubov M Ermakova, et al.
Plos One|January 20, 2018
Chemotactic drift speed for bacterial motility pattern with two alternating turning eventsEvgeniya V Pankratova, Alena I Kalyakulina, Mikhail I Krivonosov, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 4, 2023
Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte NetworkSusanna Gordleeva, Yuliya A Tsybina, Mikhail I Krivonosov, et al.
Cancer Medicine|April 10, 2024
Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkersLuis Abrego, Alexey Zaikin, Ines P Marino, et al.
Membranes|October 27, 2022
Unravelling Contributions of Astrocytic Connexin 43 to the Functional Activity of Brain Neuron-Glial Networks under Hypoxic State In VitroTatiana A Mishchenko, Roman S Yarkov, Mariia O Saviuk, et al.
Frontiers in Cellular Neuroscience|April 19, 2021
Modeling Working Memory in a Spiking Neuron Network Accompanied by AstrocytesSusanna Yu Gordleeva, Yuliya A Tsybina, Mikhail I Krivonosov, et al.
International Journal of Molecular Sciences|October 29, 2020
Signatures of the Consolidated Response of Astrocytes to Ischemic Factors In VitroElena V Mitroshina, Mikhail I Krivonosov, Dmitriy E Burmistrov, et al.
Npj Aging|December 18, 2025
Cognitive aging clock based on Explainable artificial intelligenceMikhail I Krivonosov, Tatiana A Khabarova, Elena V Kondakova, et al.
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