Dynamic Image Prediction Using Principal Component and Multi-Channel Singular Spectral Analysis: A Feasibility Study

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ISSN Print: 2164-2788
ISSN Online: 2164-2796
www.scirp.org/journal/ojmi
E-mail: ojmi@scirp.org

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"Dynamic Image Prediction Using Principal Component and Multi-Channel Singular Spectral Analysis: A Feasibility Study"
written by Ritu Bhusal Chhatkuli, Kazuyuki Demachi, Naoki Miyamoto, Mitsuru Uesaka, Akihiro Haga,
published by Open Journal of Medical Imaging, Vol.5 No.3, 2015

has been cited by the following article(s):

[1]	Time-series image denoising of pressure-sensitive paint data by projected multivariate singular spectrum analysis
	arXiv preprint arXiv:2203.07574, 2022

[2]	Development of a markerless tumor-tracking algorithm using prior four-dimensional cone-beam computed tomography
	Journal of Radiation Research, 2018

[3]	Real-time Traffic Flow Detection and Prediction Algorithm: Data-Driven Analyses on Spatio-Temporal Traffic Dynamics
	2017

[1]	Revealing the spatiotemporal patterns of water vapor and its link to North Atlantic Oscillation over Greenland using GPS and ERA5 data Science of The Total Environment, 2024 DOI:10.1016/j.scitotenv.2024.170596

[2]	Short-Term Traffic Speed Prediction for Multiple Road Segments KSCE Journal of Civil Engineering, 2023 DOI:10.1007/s12205-023-1339-7

[3]	Time-series image denoising of pressure-sensitive paint data by projected multivariate singular spectrum analysis Experiments in Fluids, 2022 DOI:10.1007/s00348-022-03523-5

[4]	Development of a markerless tumor-tracking algorithm using prior four-dimensional cone-beam computed tomography Journal of Radiation Research, 2018 DOI:10.1093/jrr/rry085

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