These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

109 related articles for article (PubMed ID: 38357400)

  • 21. Parameter identification for continuous point emission source based on Tikhonov regularization method coupled with particle swarm optimization algorithm.
    Ma D; Tan W; Zhang Z; Hu J
    J Hazard Mater; 2017 Mar; 325():239-250. PubMed ID: 27940113
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography.
    Gutta S; Kalva SK; Pramanik M; Yalavarthy PK
    Med Phys; 2018 Jun; ():. PubMed ID: 29856489
    [TBL] [Abstract][Full Text] [Related]  

  • 23. An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function.
    Boţ RI; Csetnek ER; Sedlmayer M
    Comput Optim Appl; 2023; 86(3):925-966. PubMed ID: 37969869
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Adaptive Restart of the Optimized Gradient Method for Convex Optimization.
    Kim D; Fessler JA
    J Optim Theory Appl; 2018 Jul; 178(1):240-263. PubMed ID: 36341472
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Considering New Regularization Parameter-Choice Techniques for the Tikhonov Method to Improve the Accuracy of Electrocardiographic Imaging.
    Chamorro-Servent J; Dubois R; Coudière Y
    Front Physiol; 2019; 10():273. PubMed ID: 30971937
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A novel combined regularization algorithm of total variation and Tikhonov regularization for open electrical impedance tomography.
    Liu J; Ling L; Li G
    Physiol Meas; 2013 Jul; 34(7):823-38. PubMed ID: 23787806
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
    Tao W; Pan Z; Wu G; Tao Q
    IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2557-2568. PubMed ID: 31484139
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Gradient-type penalty method with inertial effects for solving constrained convex optimization problems with smooth data.
    Boţ RI; Csetnek ER; Nimana N
    Optim Lett; 2018; 12(1):17-33. PubMed ID: 31998412
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Analysis of Tikhonov regularization for function approximation by neural networks.
    Burger M; Neubauer A
    Neural Netw; 2003 Jan; 16(1):79-90. PubMed ID: 12576108
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A second-order accelerated neurodynamic approach for distributed convex optimization.
    Jiang X; Qin S; Xue X; Liu X
    Neural Netw; 2022 Feb; 146():161-173. PubMed ID: 34864224
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Smoothing inertial neurodynamic approach for sparse signal reconstruction via L
    Zhao Y; Liao X; He X; Tang R; Deng W
    Neural Netw; 2021 Aug; 140():100-112. PubMed ID: 33752140
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An extension of the proximal point algorithm beyond convexity.
    Grad SM; Lara F
    J Glob Optim; 2022; 82(2):313-329. PubMed ID: 35153381
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Projected Primal-Dual Dynamics for Distributed Constrained Nonsmooth Convex Optimization.
    Zhu Y; Yu W; Wen G; Chen G
    IEEE Trans Cybern; 2020 Apr; 50(4):1776-1782. PubMed ID: 30530351
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Convergence and adaptive discretization of the IRGNM Tikhonov and the IRGNM Ivanov method under a tangential cone condition in Banach space.
    Kaltenbacher B; Previatti de Souza ML
    Numer Math (Heidelb); 2018; 140(2):449-478. PubMed ID: 30220738
    [TBL] [Abstract][Full Text] [Related]  

  • 35. On the convergence of nonconvex minimization methods for image recovery.
    Xiao J; Ng MK; Yang YF
    IEEE Trans Image Process; 2015 May; 24(5):1587-98. PubMed ID: 25675457
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.
    Liu J; Liao X; Dong JS; Mansoori A
    Neural Netw; 2023 Mar; 160():259-273. PubMed ID: 36709530
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Discretization of Learned NETT Regularization for Solving Inverse Problems.
    Antholzer S; Haltmeier M
    J Imaging; 2021 Nov; 7(11):. PubMed ID: 34821870
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Dynamic medical imaging as a partial inverse problem.
    Greensite F
    Conf Proc IEEE Eng Med Biol Soc; 2004; 2004():1014-7. PubMed ID: 17271853
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improving Tikhonov regularization with linearly constrained optimization: application to the inverse epicardial potential solution.
    Iakovidis I; Gulrajani RM
    Math Biosci; 1992 Nov; 112(1):55-80. PubMed ID: 1421775
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Proximal-gradient algorithms for fractional programming.
    Boţ RI; Csetnek ER
    Optimization; 2017 Aug; 66(8):1383-1396. PubMed ID: 33116346
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.