Current Computational Trends in Equipment Prognostics von Hines, J. Wesley, Usynin, Alexander

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MSET PERFORMANCE OPTIMIZATION THROUGH REGULARIZATION von HINES J. WESLEY, USYNIN ALEXANDER

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Current Computational Trends in Equipment Prognostics von Wesley Hines, J., Usynin, Alexander

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Uncertain failure thresholds in cumulative damage models von Usynin, A., Hines, J.W., Urmanov, A.

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Prognostics-Driven Optimal Control for Equipment Performing in Uncertain Environment von Usynin, A., Hines, J.W., Urmanov, A.

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Formulation of Prognostics Requirements von Usynin, A., Hines, J.W., Urmanov, A.

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Solar particle event dose prediction using kernel regression von Townsend, L.W., Hines, J.W., Usynin, A., Pitcher, G.M.

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Method and apparatus for identifying a failure mechanism for a component in a computer system von Usynin, Alexander V, Urmanov, Aleksey M, Gross, Kenny C

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Method and apparatus for identifying a failure mechanism for a component in a computer system von USYNIN ALEXANDER V, GROSS KENNY C, URMANOV ALEKSEY M

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Method and apparatus for identifying a failure mechanism for a component in a computer system von USYNIN ALEXANDER V, GROSS KENNY C, URMANOV ALEKSEY M

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Medical imaging deep learning with differential privacy von Ziller, Alexander, Usynin, Dmitrii, Braren, Rickmer, Makowski, Marcus, Rueckert, Daniel, Kaissis, Georgios

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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Wor... von Oyarzun Laura, Cristina, Cardoso, M. Jorge, Rosen-Zvi, Michal, Kaissis, Georgios, Linguraru, Marius George, Shekhar, Raj, Wesarg, Stefan, Erdt, Marius, Drechsler, Klaus, Chen, Yufei

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End-to-end privacy preserving deep learning on multi-institutional medical imaging von Kaissis, Georgios, Ziller, Alexander, Passerat-Palmbach, Jonathan, Ryffel, Théo, Usynin, Dmitrii, Trask, Andrew, Lima, Ionésio, Mancuso, Jason, Jungmann, Friederike, Steinborn, Marc-Matthias, Saleh, Andreas, Makowski, Marcus, Rueckert, Daniel, Braren, Rickmer

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Adversarial interference and its mitigations in privacy-preserving collaborative machine learning von Usynin, Dmitrii, Ziller, Alexander, Makowski, Marcus, Braren, Rickmer, Rueckert, Daniel, Glocker, Ben, Kaissis, Georgios, Passerat-Palmbach, Jonathan

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Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index von Kaissis, Georgios, Knolle, Moritz, Jungmann, Friederike, Ziller, Alexander, Usynin, Dmitrii, Rueckert, Daniel

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A Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index von Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert

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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning Image Pro... von Laura, Cristina Oyarzun, Cardoso, M. Jorge, Rosen-Zvi, Michal, Kaissis, Georgios, Linguraru, Marius George, Shekhar, Raj, Wesarg, Stefan, Erdt, Marius, Drechsler, Klaus, Chen, Yufei, Albarqouni, Shadi, Bakas, Spyridon, Landman, Bennett, Rieke, Nicola, Roth, Holger, Li, Xiaoxiao, Xu, Daguang, Gabrani, Maria, Konukoglu, Ender, Guindy, Michal, Rueckert, Daniel, Ziller, Alexander, Usynin, Dmitrii, Passerat-Palmbach, Jonathan

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Safety of Pembroria® during non-medical switching from Keytruda® in patients with advanced malignant neoplasms of various localizations: the REFLECTION real-world study von Choynzonov, Evgeny L., Fedenko, Alexander A., Falaleeva, Natalia A., Andreeva, Tatiana V., Afanas'ev, Sergei G., Bakaev, Zelimkhan A., Valiev, Danila I., Volkov, Aleksandr A., Kolomiets, Larisa A., Krashikhina, Tatiana V., Miller, Sergei V., Mikhaliuk, Viktoriia V., Ogloblin, Andrei N., Orlova, Svetlana A., Pataliak, Stanislav V., Pokataev, Ilya A., Popova, Nataliia O., Rebrina, Olesia V., Safin, Rustem N., Stradaeva, Irina Iu, Trefilova, Iuliia V., Usol'tseva, Inessa S., Usynin, Evgenii A., Sharov, Sergey V., Iukal'chuk, Denis Iu, Iasieva, Aishat R.

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Multi-task Federated Learning for Heterogeneous Pancreas Segmentation von Shen, Chen, Wang, Pochuan, Roth, Holger R., Yang, Dong, Xu, Daguang, Oda, Masahiro, Wang, Weichung, Fuh, Chiou-Shann, Chen, Po-Ting, Liu, Kao-Lang, Liao, Wei-Chih, Mori, Kensaku

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ViTBIS: Vision Transformer for Biomedical Image Segmentation von Sagar, Abhinav

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