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 *

119 related articles for article (PubMed ID: 38818237)

  • 21. Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor.
    Tarkhov D; Lazovskaya T; Malykhina G
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679461
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Recipes for when physics fails: recovering robust learning of physics informed neural networks.
    Bajaj C; McLennan L; Andeen T; Roy A
    Mach Learn Sci Technol; 2023 Mar; 4(1):015013. PubMed ID: 37680302
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning.
    Chen J; Liu Y
    Philos Trans A Math Phys Eng Sci; 2023 Nov; 381(2260):20220405. PubMed ID: 37742708
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural Networks.
    Yin M; Zheng X; Humphrey JD; Em Karniadakis G
    Comput Methods Appl Mech Eng; 2021 Mar; 375():. PubMed ID: 33414569
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Exploring the potential of Physics-Informed Neural Networks to extract vascularization data from DCE-MRI in the presence of diffusion.
    Sainz-DeMena D; Pérez MA; García-Aznar JM
    Med Eng Phys; 2024 Jan; 123():104092. PubMed ID: 38365330
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Novel Hybrid Deep Learning Method for Predicting the Flow Fields of Biomimetic Flapping Wings.
    Hu F; Tay W; Zhou Y; Khoo B
    Biomimetics (Basel); 2024 Jan; 9(2):. PubMed ID: 38392118
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?
    Markidis S
    Front Big Data; 2021; 4():669097. PubMed ID: 34870188
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Physics Informed Neural Networks (PINN) for Low Snr Magnetic Resonance Electrical Properties Tomography (MREPT).
    Inda AJG; Huang SY; İmamoğlu N; Qin R; Yang T; Chen T; Yuan Z; Yu W
    Diagnostics (Basel); 2022 Oct; 12(11):. PubMed ID: 36359471
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.
    Liu Y; Cai L; Chen Y; Wang B
    Math Biosci Eng; 2022 Sep; 19(12):12866-12896. PubMed ID: 36654026
    [TBL] [Abstract][Full Text] [Related]  

  • 30. nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling.
    Mahmoudabadbozchelou M; Karniadakis GE; Jamali S
    Soft Matter; 2021 Dec; 18(1):172-185. PubMed ID: 34859251
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Material Data Identification in an Induction Hardening Test Rig with Physics-Informed Neural Networks.
    Asadzadeh MZ; Roppert K; Raninger P
    Materials (Basel); 2023 Jul; 16(14):. PubMed ID: 37512288
    [TBL] [Abstract][Full Text] [Related]  

  • 32. MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics.
    Zhang L; You H; Gao T; Yu M; Lee CH; Yu Y
    Comput Methods Appl Mech Eng; 2023 Dec; 417(Pt B):. PubMed ID: 38292246
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems.
    Kapoor T; Wang H; Nunez A; Dollevoet R
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):5981-5995. PubMed ID: 37725741
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Investigating molecular transport in the human brain from MRI with physics-informed neural networks.
    Zapf B; Haubner J; Kuchta M; Ringstad G; Eide PK; Mardal KA
    Sci Rep; 2022 Sep; 12(1):15475. PubMed ID: 36104360
    [TBL] [Abstract][Full Text] [Related]  

  • 35. PDE-LEARN: Using deep learning to discover partial differential equations from noisy, limited data.
    Stephany R; Earls C
    Neural Netw; 2024 Jun; 174():106242. PubMed ID: 38521016
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Physics-informed neural networks for transcranial ultrasound wave propagation.
    Wang L; Wang H; Liang L; Li J; Zeng Z; Liu Y
    Ultrasonics; 2023 Jul; 132():107026. PubMed ID: 37137219
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Physics-informed neural networks as surrogate models of hydrodynamic simulators.
    Donnelly J; Daneshkhah A; Abolfathi S
    Sci Total Environ; 2024 Feb; 912():168814. PubMed ID: 38016570
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Multiscale Modeling at the Interface of Molecular Mechanics and Natural Language through Attention Neural Networks.
    Buehler MJ
    Acc Chem Res; 2022 Dec; 55(23):3387-3403. PubMed ID: 36378952
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Physics-informed neural wavefields with Gabor basis functions.
    Alkhalifah T; Huang X
    Neural Netw; 2024 Jul; 175():106286. PubMed ID: 38640697
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multi-fidelity information fusion with concatenated neural networks.
    Pawar S; San O; Vedula P; Rasheed A; Kvamsdal T
    Sci Rep; 2022 Apr; 12(1):5900. PubMed ID: 35393511
    [TBL] [Abstract][Full Text] [Related]  

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