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Artykuły w czasopismach na temat "Sliding-Window fMR image reconstruction"
Zhang, Yixiong, Mingliang Tao, Kewei Yang i Zhenmiao Deng. "Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching". Advances in Multimedia 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/285969.
Pełny tekst źródłaXu, Zhongbiao, Huihui Ye, Mengye Lyu, Hongjian He, Jianhui Zhong, Yingjie Mei, Zhifeng Chen i in. "Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration". Magnetic Resonance Imaging 57 (kwiecień 2019): 303–12. http://dx.doi.org/10.1016/j.mri.2018.11.001.
Pełny tekst źródłaKim, Jae-In, Chang-Uk Hyun, Hyangsun Han i Hyun-cheol Kim. "Evaluation of Matching Costs for High-Quality Sea-Ice Surface Reconstruction from Aerial Images". Remote Sensing 11, nr 9 (4.05.2019): 1055. http://dx.doi.org/10.3390/rs11091055.
Pełny tekst źródłaChen, Yanqiao, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang i Ronghua Shang. "Adversarial Reconstruction-Classification Networks for PolSAR Image Classification". Remote Sensing 11, nr 4 (18.02.2019): 415. http://dx.doi.org/10.3390/rs11040415.
Pełny tekst źródłaFeng, Lulu, Dongdong Weng i Bin Liang. "A Deep Facial BRDF Estimation Method Based on Image Translation". Journal of Physics: Conference Series 2363, nr 1 (1.11.2022): 012011. http://dx.doi.org/10.1088/1742-6596/2363/1/012011.
Pełny tekst źródłaLee, Mun Bae, Geon-Ho Jahng, Hyung Joong Kim i Oh-In Kwon. "High-frequency conductivity at Larmor-frequency in human brain using moving local window multilayer perceptron neural network". PLOS ONE 16, nr 5 (20.05.2021): e0251417. http://dx.doi.org/10.1371/journal.pone.0251417.
Pełny tekst źródłaSerag, Ahmed, Gillian Macnaught, Fiona C. Denison, Rebecca M. Reynolds, Scott I. Semple i James P. Boardman. "Histograms of Oriented 3D Gradients for Fully Automated Fetal Brain Localization and Robust Motion Correction in 3 T Magnetic Resonance Images". BioMed Research International 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/3956363.
Pełny tekst źródłaBu, Dongdong, Shuxiang Guo, Jin Guo, He Li i Hanze Wang. "Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation". Micromachines 14, nr 3 (27.02.2023): 555. http://dx.doi.org/10.3390/mi14030555.
Pełny tekst źródłaKhan, S., i P. K. Gupta. "COMPARITIVE STUDY OF TREE COUNTING ALGORITHMS IN DENSE AND SPARSE VEGETATIVE REGIONS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (19.11.2018): 801–8. http://dx.doi.org/10.5194/isprs-archives-xlii-5-801-2018.
Pełny tekst źródłaZou, Yajing, Amr Eldemiry, Yaxin Li i Wu Chen. "Robust RGB-D SLAM Using Point and Line Features for Low Textured Scene". Sensors 20, nr 17 (2.09.2020): 4984. http://dx.doi.org/10.3390/s20174984.
Pełny tekst źródłaRozprawy doktorskie na temat "Sliding-Window fMR image reconstruction"
Amor, Zaineb. "Non-Cartesian Sparkling encoding for High spatio-temporal resolution functional Magnetic Resonance Imaging (fMRI) at 7 Tesla and beyond". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST032.
Pełny tekst źródłaFunctional MRI (fMRI) is currently one of the most commonly used functional neuroimaging techniques to probe brain activity non-invasively through the blood oxygen level-dependent (BOLD) contrast that reflects neurovascular coupling. It offers an interesting trade-off between spatial and temporal resolution in order to study the whole brain as an aggregation of intrinsic functional systems. The quest for higher spatial and/or temporal resolution in fMRI while preserving a sufficient temporal signal-to-noise ratio~(tSNR) has generated a tremendous amount of methodological contributions in the last decade ranging from Cartesian vs. non-Cartesian readouts, 2D vs. 3D acquisition strategies, parallel imaging and/or compressed sensing~(CS) accelerations and simultaneous multi-slice acquisitions to cite a few. In this work, we focus on the use of CS in fMRI; more specifically, we consider Spreading Projection Algorithm for Rapid K-space sampLING (SPARKLING) encoding scheme.The main focus and goal of this thesis involves the evaluation of 3D-SPARKLING as a viable acquisition scheme for high-resolution whole-brain fMRI. In this regard, we initially compared its capabilities with state-of-the-art 3D-EPI. After observing higher sensitivity to static and dynamic magnetic field imperfections in 3D-SPARKLING data, we established an experimental protocol to correct them. Finally, we studied the capabilities and limitations of employing a sliding-window reconstruction in combination with the SPARKLING encoding scheme to enhance temporal resolution during image reconstruction in fMRI retrospectively. A simulation study where the ground truth is controlled was conducted and demonstrated the possibility of detecting high-frequency oscillations in the BOLD signal and separating physiological noise from neural activity
Części książek na temat "Sliding-Window fMR image reconstruction"
Khan, Jamal, Sarah Moharem-Elgamal i Francesca Pugliese. "Image reconstruction, postprocessing, and fundamentals of image analysis". W EACVI Handbook of Cardiovascular CT, redaktorzy Oliver Gaemperli, Pal Maurovich-Horvat, Koen Nieman, Gianluca Pontone i Francesca Pugliese, 43—C1.6.S11. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/med/9780192884459.003.0006.
Pełny tekst źródłaKellogg, Susan. "Of Warriors and Working Women Gender in Later Prehispanic Mesoamerica and the Andes". W Weaving the Past, 18–52. Oxford University PressNew York, NY, 2005. http://dx.doi.org/10.1093/oso/9780195123814.003.0002.
Pełny tekst źródłaStreszczenia konferencji na temat "Sliding-Window fMR image reconstruction"
Tani, Jacopo, Sandipan Mishra i John T. Wen. "On Derivative Sampling From Image Blur for Reconstruction of Band-Limited Signals". W ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6180.
Pełny tekst źródłaHuh, Sam S., W. L. Rogers i Neal H. Clinthorne. "On-line sliding-window list-mode PET image reconstruction for a surgical pet imaging probe". W 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774493.
Pełny tekst źródłaKobayashi, Seiji, i Demetri Psaltis. "Novel method for computer-generated holography based on neural networks". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mff6.
Pełny tekst źródłaConchello, Jose A., J. Peter Zelten, Frank C. Miele, Bruce H. Davis i Eric W. Hansen. "Enhanced 3-D reconstruction from confocal microscope images". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.thff1.
Pełny tekst źródłaJiang, Peng, Lihui Peng i Deyun Xiao. "Characterization of Window Functions for Regularization of Electrical Capacitance Tomography Image Reconstruction". W MULTIPHASE FLOW: THE ULTIMATE MEASUREMENT CHALLENGE: Proc.of The 5th Int. Symp. on Measurement Techniques for Multiphase Flows (5th ISMTMF); 2nd Int. Wrkshp.on Process Tomography (IWPT-2) (As a part of ISMTMF); 5th ISMTMF/IWPT-2, 2006-Macau/Zhuhai). AIP, 2007. http://dx.doi.org/10.1063/1.2747517.
Pełny tekst źródłaShi, Zhe, Wenwu Zhou, Tianlun Zhang, Yingzheng Liu, Bo Meng, Yihong He i Fei Zeng. "A 3-D reconstruction approach for the IR-camera-based turbine blade temperature measurements". W GPPS Hong Kong24. GPPS, 2023. http://dx.doi.org/10.33737/gpps23-tc-035.
Pełny tekst źródłaPark, Hong-Seok, Chintal Shah i Rima Shah. "An Enhanced Development of 3D Intra-Oral Scanner Using Fringe-Projection Technique for Dentistry". W ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66427.
Pełny tekst źródłaWhitney, W. T., B. J. Feldman i Michael T. Duignan. "Phase conjugation of 2.91-μm HF laser radiation via stimulated Brillouin scattering". W International Laser Science Conference. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.thj6.
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