Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1950 2
1951 4
1952 2
1953 2
1954 5
1955 4
1956 3
1957 3
1958 6
1959 9
1960 9
1961 6
1962 5
1963 5
1964 15
1965 20
1966 22
1967 14
1968 19
1969 20
1970 17
1971 20
1972 18
1973 17
1974 26
1975 25
1976 18
1977 15
1978 20
1979 23
1980 7
1981 11
1982 7
1983 15
1984 10
1985 17
1986 11
1987 12
1988 15
1989 12
1990 16
1991 10
1992 12
1993 6
1994 14
1995 7
1996 13
1997 11
1998 14
1999 14
2000 13
2001 12
2002 20
2003 19
2004 22
2005 15
2006 19
2007 20
2008 24
2009 19
2010 19
2011 24
2012 29
2013 24
2014 43
2015 25
2016 40
2017 30
2018 41
2019 45
2020 52
2021 59
2022 60
2023 54
2024 18

Text availability

Article attribute

Article type

Publication date

Search Results

1,300 results

Results by year

Filters applied: . Clear all
The following term was not found in PubMed: Eugeniy
Page 1
How accurate is the accuracy?
Nesterov SV, Knuuti J. Nesterov SV, et al. J Nucl Cardiol. 2020 Dec;27(6):1967-1969. doi: 10.1007/s12350-018-01537-3. Epub 2018 Nov 26. J Nucl Cardiol. 2020. PMID: 30478662 No abstract available.
Quantitative Perfusion Imaging with Total-Body PET.
Knuuti J, Tuisku J, Kärpijoki H, Iida H, Maaniitty T, Latva-Rasku A, Oikonen V, Nesterov SV, Teuho J, Jaakkola MK, Klén R, Louhi H, Saunavaara V, Nuutila P, Saraste A, Rinne J, Nummenmaa L. Knuuti J, et al. J Nucl Med. 2023 Nov;64(Suppl 2):11S-19S. doi: 10.2967/jnumed.122.264870. J Nucl Med. 2023. PMID: 37918848 Review.
82Rb-PET MPQ: Do normal values exist?
Nesterov SV, Knuuti JM. Nesterov SV, et al. J Nucl Cardiol. 2022 Apr;29(2):474-475. doi: 10.1007/s12350-020-02362-3. Epub 2020 Sep 30. J Nucl Cardiol. 2022. PMID: 33000406 No abstract available.
Penalized Principal Component Analysis using Nesterov Smoothing.
Hurwitz RM, Hahn G. Hurwitz RM, et al. ArXiv [Preprint]. 2023 Sep 25:arXiv:2309.13838v1. ArXiv. 2023. PMID: 37808094 Free PMC article. Preprint.
The contribution of our article is threefold. First, we extend PEP by applying Nesterov smoothing to the original LASSO-type L1 penalty. This allows one to compute analytical gradients which enable faster and more efficient minimization of the objective function associated …
The contribution of our article is threefold. First, we extend PEP by applying Nesterov smoothing to the original LASSO-type L1 penal …
Distributed Nesterov Gradient and Heavy-Ball Double Accelerated Asynchronous Optimization.
Li H, Cheng H, Wang Z, Wu GC. Li H, et al. IEEE Trans Neural Netw Learn Syst. 2021 Dec;32(12):5723-5737. doi: 10.1109/TNNLS.2020.3027381. Epub 2021 Nov 30. IEEE Trans Neural Netw Learn Syst. 2021. PMID: 33048761
In this article, we come up with a novel Nesterov gradient and heavy-ball double accelerated distributed synchronous optimization algorithm, called NHDA, and adopt a general asynchronous model to further propose an effective asynchronous algorithm, called ASY-NHDA, for dis …
In this article, we come up with a novel Nesterov gradient and heavy-ball double accelerated distributed synchronous optimization alg …
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
Tao W, Pan Z, Wu G, Tao Q. Tao W, et al. IEEE Trans Neural Netw Learn Syst. 2020 Jul;31(7):2557-2568. doi: 10.1109/TNNLS.2019.2933452. Epub 2019 Sep 2. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 31484139
The extrapolation strategy raised by Nesterov, which can accelerate the convergence rate of gradient descent methods by orders of magnitude when dealing with smooth convex objective, has led to tremendous success in training machine learning tasks. In this article, the con …
The extrapolation strategy raised by Nesterov, which can accelerate the convergence rate of gradient descent methods by orders of mag …
A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data.
Li W, Wang R, Luo X. Li W, et al. IEEE Trans Neural Netw Learn Syst. 2023 Oct 13;PP. doi: 10.1109/TNNLS.2023.3321915. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 37831556
In order to address this issue, this study proposes a generalized Nesterov-accelerated second-order LF (GNSLF) model that integrates twofold conceptions: 1) acquiring proper second-order step efficiently by adopting a Hessian-vector algorithm and 2) embedding the second-or …
In order to address this issue, this study proposes a generalized Nesterov-accelerated second-order LF (GNSLF) model that integrates …
Amino Acids as Regulators of Cell Metabolism.
Nesterov SV, Yaguzhinsky LS, Podoprigora GI, Nartsissov YR. Nesterov SV, et al. Biochemistry (Mosc). 2020 Apr;85(4):393-408. doi: 10.1134/S000629792004001X. Biochemistry (Mosc). 2020. PMID: 32569548 Review.
Accelerated statistical reconstruction for C-arm cone-beam CT using Nesterov's method.
Wang AS, Stayman JW, Otake Y, Vogt S, Kleinszig G, Siewerdsen JH. Wang AS, et al. Med Phys. 2015 May;42(5):2699-708. doi: 10.1118/1.4914378. Med Phys. 2015. PMID: 25979068 Free PMC article.
Despite the slower convergence of IR with truncated C-arm CBCT, comparison of PL reconstruction methods implemented on graphics processing units showed that reconstruction time was reduced from 106 min for the conventional OS-SQS method to as little as 2.0 min with Nesterov
Despite the slower convergence of IR with truncated C-arm CBCT, comparison of PL reconstruction methods implemented on graphics processing u …
1,300 results