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A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series
Patel, Ameera X., Kundu, Prantik, Rubinov, Mikail, Jones, P. Simon, Vértes, Petra E., Ersche, Karen D., Suckling, John, Bullmore, Edward T.
Published in NeuroImage (Orlando, Fla.) (15.07.2014)
Published in NeuroImage (Orlando, Fla.) (15.07.2014)
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Simulating rigid head motion artifacts on brain magnitude MRI data–Outcome on image quality and segmentation of the cerebral cortex
Olsson, Hampus, Millward, Jason Michael, Starke, Ludger, Gladytz, Thomas, Klein, Tobias, Fehr, Jana, Lai, Wei-Chang, Lippert, Christoph, Niendorf, Thoralf, Waiczies, Sonia
Published in PloS one (16.04.2024)
Published in PloS one (16.04.2024)
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A Deep Learning‐Based De‐Artifact Diffusion Model for Removing Motion Artifacts in Knee MRI
Li, Yingchun, Gong, Tong, Zhou, Qing, Wang, Haodong, Yan, Xiong, Xi, Yu, Shi, Zhenwei, Deng, Wei, Shi, Feng, Wang, Yuting
Published in Journal of magnetic resonance imaging (30.06.2025)
Published in Journal of magnetic resonance imaging (30.06.2025)
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Prevalences of segmentation errors and motion artifacts in OCT-angiography differ among retinal diseases
Lauermann, J. L., Woetzel, A. K., Treder, M., Alnawaiseh, M., Clemens, C. R., Eter, N., Alten, Florian
Published in Graefe's archive for clinical and experimental ophthalmology (01.10.2018)
Published in Graefe's archive for clinical and experimental ophthalmology (01.10.2018)
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Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning–based filter using convolutional neural network
Kromrey, M.-L., Tamada, D., Johno, H., Funayama, S., Nagata, N., Ichikawa, S., Kühn, J.-P., Onishi, H., Motosugi, U.
Published in European radiology (01.11.2020)
Published in European radiology (01.11.2020)
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Characterization and real-time removal of motion artifacts from EEG signals
Kilicarslan, Atilla, Contreras Vidal, Jose Luis
Published in Journal of neural engineering (17.09.2019)
Published in Journal of neural engineering (17.09.2019)
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Learning based motion artifacts processing in fNIRS: a mini review
Zhao, Yunyi, Luo, Haiming, Chen, Jianan, Loureiro, Rui, Yang, Shufan, Zhao, Hubin
Published in Frontiers in neuroscience (08.11.2023)
Published in Frontiers in neuroscience (08.11.2023)
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Flexible Capacitive Electrodes for Minimizing Motion Artifacts in Ambulatory Electrocardiograms
Lee, Jeong, Heo, Jeong, Lee, Won, Lim, Yong, Kim, Youn, Park, Kwang
Published in Sensors (Basel, Switzerland) (12.08.2014)
Published in Sensors (Basel, Switzerland) (12.08.2014)
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Prediction of motion artifacts caused by translation in handheld laser speckle contrast imaging
Chizari, Ata, Tsong, Wilson, Knop, Tom, Steenbergen, Wiendelt
Published in Journal of biomedical optics (01.04.2023)
Published in Journal of biomedical optics (01.04.2023)
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Time-space Fourier κω′ filter for motion artifacts compensation during transcranial fluorescence brain imaging
Molodij, Guillaume, Sdobnov, Anton, Kuznetsov, Yuri, Harmelin, Alon, Meglinski, Igor, Kalchenko, Vyacheslav
Published in Physics in medicine & biology (06.04.2020)
Published in Physics in medicine & biology (06.04.2020)
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Controlling jaw-related motion artifacts in functional near-infrared spectroscopy
Zhang, Fan, Reid, Adaira, Schroeder, Alissa, Ding, Lei, Yuan, Han
Published in Journal of neuroscience methods (15.03.2023)
Published in Journal of neuroscience methods (15.03.2023)
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Improving Photoplethysmographic Measurements Under Motion Artifacts Using Artificial Neural Network for Personal Healthcare
Singha Roy, Monalisa, Gupta, Rajarshi, Chandra, Jayanta K., Das Sharma, Kaushik, Talukdar, Arunansu
Published in IEEE transactions on instrumentation and measurement (01.12.2018)
Published in IEEE transactions on instrumentation and measurement (01.12.2018)
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