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Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach.
Phys Rev E. 2019 Sep;100(3-1):032410. doi: 10.1103/PhysRevE.100.032410.
Phys Rev E. 2019.
PMID: 31640019
Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion.
Janczura J, Kowalek P, Loch-Olszewska H, Szwabiński J, Weron A.
Janczura J, et al. Among authors: kowalek p.
Phys Rev E. 2020 Sep;102(3-1):032402. doi: 10.1103/PhysRevE.102.032402.
Phys Rev E. 2020.
PMID: 33076015
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Objective comparison of methods to decode anomalous diffusion.
Muñoz-Gil G, Volpe G, Garcia-March MA, Aghion E, Argun A, Hong CB, Bland T, Bo S, Conejero JA, Firbas N, Garibo I Orts Ò, Gentili A, Huang Z, Jeon JH, Kabbech H, Kim Y, Kowalek P, Krapf D, Loch-Olszewska H, Lomholt MA, Masson JB, Meyer PG, Park S, Requena B, Smal I, Song T, Szwabiński J, Thapa S, Verdier H, Volpe G, Widera A, Lewenstein M, Metzler R, Manzo C.
Muñoz-Gil G, et al. Among authors: kowalek p.
Nat Commun. 2021 Oct 29;12(1):6253. doi: 10.1038/s41467-021-26320-w.
Nat Commun. 2021.
PMID: 34716305
Free PMC article.
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