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1962 2
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1964 2
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1966 2
1967 5
1968 8
1969 5
1970 9
1971 4
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1973 10
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Showing results for trajectory
Your search for trajactory retrieved no results
Group-based multi-trajectory modeling.
Nagin DS, Jones BL, Passos VL, Tremblay RE. Nagin DS, et al. Stat Methods Med Res. 2018 Jul;27(7):2015-2023. doi: 10.1177/0962280216673085. Epub 2016 Oct 17. Stat Methods Med Res. 2018. PMID: 29846144
Group-based trajectory modeling is designed to identify clusters of individuals who are following similar trajectories of a single indicator of interest such as post-operative fever or body mass index. Multi-trajectory modeling identifies latent clusters of i …
Group-based trajectory modeling is designed to identify clusters of individuals who are following similar trajectories of a si …
Towards Trajectory Forecasting From Detection.
Zhang P, Bai L, Wang Y, Fang J, Xue J, Zheng N, Ouyang W. Zhang P, et al. IEEE Trans Pattern Anal Mach Intell. 2023 Oct;45(10):12550-12561. doi: 10.1109/TPAMI.2023.3274686. Epub 2023 Sep 5. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 37159310
Currently, most trajectory forecasting methods assume that object trajectories have been extracted and directly develop trajectory predictors based on the ground truth trajectories. ...In this paper, we propose to predict trajectories directly b …
Currently, most trajectory forecasting methods assume that object trajectories have been extracted and directly develop tra …
Trajectory Consensus for Coordination of Multiple Curvature-Bounded Vehicles.
Yao W, Xin L, Peng Y, Chen Y, Qi N, Sun Y. Yao W, et al. IEEE Trans Cybern. 2022 Jul;52(7):6307-6319. doi: 10.1109/TCYB.2020.3036289. Epub 2022 Jul 4. IEEE Trans Cybern. 2022. PMID: 33315573
This article addresses the trajectory consensus problem of coordinating the trajectories of vehicles at multiple future time points. The objective is the consensus of the geometry of the vehicles' planned trajectories. The geometric feature of trajectories …
This article addresses the trajectory consensus problem of coordinating the trajectories of vehicles at multiple future time p …
Cell-connectivity-guided trajectory inference from single-cell data.
Smolander J, Junttila S, Elo LL. Smolander J, et al. Bioinformatics. 2023 Sep 2;39(9):btad515. doi: 10.1093/bioinformatics/btad515. Bioinformatics. 2023. PMID: 37624916 Free PMC article.
MOTIVATION: Single-cell RNA-sequencing enables cell-level investigation of cell differentiation, which can be modelled using trajectory inference methods. While tremendous effort has been put into designing these methods, inferring accurate trajectories automaticall …
MOTIVATION: Single-cell RNA-sequencing enables cell-level investigation of cell differentiation, which can be modelled using trajectory …
Does group-based trajectory modeling estimate spurious trajectories?
Mésidor M, Rousseau MC, O'Loughlin J, Sylvestre MP. Mésidor M, et al. BMC Med Res Methodol. 2022 Jul 14;22(1):194. doi: 10.1186/s12874-022-01622-9. BMC Med Res Methodol. 2022. PMID: 35836129 Free PMC article.
For each scenario, we assessed whether the method identified the correct number of trajectories, the correct shapes of the trajectories, and the mean number of participants of each trajectory subgroup. The performance of the average posterior probabilities, r …
For each scenario, we assessed whether the method identified the correct number of trajectories, the correct shapes of the traject …
Learning-based method for k-space trajectory design in MRI.
Sharma S, Hari KVS, Leus G. Sharma S, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:1464-1467. doi: 10.1109/EMBC48229.2022.9871692. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086415
Variable density sampling of the k-space in MRI is an integral part of trajectory design. It has been observed that data-driven trajectory design methods provide a better image reconstruction as compared to trajectories obtained from a fixed or a parametric d …
Variable density sampling of the k-space in MRI is an integral part of trajectory design. It has been observed that data-driven tr …
Trajectory analysis for field free line magnetic particle imaging.
Top CB, Güngör A, Ilbey S, Güven HE. Top CB, et al. Med Phys. 2019 Apr;46(4):1592-1607. doi: 10.1002/mp.13411. Epub 2019 Feb 22. Med Phys. 2019. PMID: 30695100
For ART reconstruction, the highest image quality with the lowest trajectory density was achieved with the Uniform Spiral trajectory. ...The rotating SF induced higher electric field amplitude compared to the FF. Consequently, maximum allowable gradient at the same …
For ART reconstruction, the highest image quality with the lowest trajectory density was achieved with the Uniform Spiral trajecto …
Trajectory of fecal lactoferrin for predicting prognosis in ulcerative colitis.
Chen R, Li L, Tie Y, Chen M, Zhang S. Chen R, et al. Precis Clin Med. 2023 Sep 5;6(3):pbad022. doi: 10.1093/pcmedi/pbad022. eCollection 2023 Sep. Precis Clin Med. 2023. PMID: 38025971 Free PMC article.
OBJECTIVES: To investigate the characteristics and prognostic value of fecal lactoferrin trajectories in ulcerative colitis (UC). METHODS: This study used data from the UNIFI trial (ClinicalTrials.gov, NCT02407236) and included patients who received ustekinumab during indu …
OBJECTIVES: To investigate the characteristics and prognostic value of fecal lactoferrin trajectories in ulcerative colitis (UC). MET …
Simultaneous trajectory generation and volumetric modulated arc therapy optimization.
Mullins J, Renaud MA, Serban M, Seuntjens J. Mullins J, et al. Med Phys. 2020 Jul;47(7):3078-3090. doi: 10.1002/mp.14155. Epub 2020 Apr 27. Med Phys. 2020. PMID: 32215936
Algorithm validation was performed through the generation of 5000 random trajectories and optimization using column generation VMAT for each patient case, representing the solution space for the trajectory optimization problem. The simTr-VMAT trajectories wer …
Algorithm validation was performed through the generation of 5000 random trajectories and optimization using column generation VMAT f …
Trajectory inference across multiple conditions with condiments.
Roux de Bézieux H, Van den Berge K, Street K, Dudoit S. Roux de Bézieux H, et al. Nat Commun. 2024 Jan 27;15(1):833. doi: 10.1038/s41467-024-44823-0. Nat Commun. 2024. PMID: 38280860 Free PMC article.
While many methods have been suggested for trajectory inference, it is often unclear how to handle multiple biological groups or conditions, e.g., inferring and comparing the differentiation trajectories of wild-type and knock-out stem cell populations. ...We start …
While many methods have been suggested for trajectory inference, it is often unclear how to handle multiple biological groups or cond …
117,304 results
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