Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhongnan Fang"'
Autor:
Jia Liu, Hyun Joo Lee, Andrew J Weitz, Zhongnan Fang, Peter Lin, ManKin Choy, Robert Fisher, Vadim Pinskiy, Alexander Tolpygo, Partha Mitra, Nicholas Schiff, Jin Hyung Lee
Publikováno v:
eLife, Vol 4 (2015)
Central thalamus plays a critical role in forebrain arousal and organized behavior. However, network-level mechanisms that link its activity to brain state remain enigmatic. Here, we combined optogenetics, fMRI, electrophysiology, and video-EEG monit
Externí odkaz:
https://doaj.org/article/feb5874de8c94ec5ab879c3a387fe505
Autor:
Kathryn J. Stevens, Eric K. Gibbons, Brian A. Hargreaves, Jin Hyung Lee, Zhongnan Fang, Amit Chakraborty, Arjun D. Desai, Akshay S. Chaudhari, Jeffrey P. Wood, Garry E. Gold
Publikováno v:
J Magn Reson Imaging
BACKGROUND Super-resolution is an emerging method for enhancing MRI resolution; however, its impact on image quality is still unknown. PURPOSE To evaluate MRI super-resolution using quantitative and qualitative metrics of cartilage morphometry, osteo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dca348c4459edac465d4ca7c4b3c1c9
https://doi.org/10.1002/jmri.26872
https://doi.org/10.1002/jmri.26872
Autor:
Garry E. Gold, Kathryn J. Stevens, Murray J. Grissom, Akshay S. Chaudhari, Brian A. Hargreaves, Zhongnan Fang, Bragi Sveinsson, Jin Hyung Lee
Publikováno v:
AJR. American journal of roentgenology. 216(6)
Please see the Editorial Comment by Derik L. Davis discussing this article. BACKGROUND. Potential approaches for abbreviated knee MRI, including prospective acceleration with deep learning, have ac...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71edd2f25f7d5fc18b303377cca7720f
https://pubmed.ncbi.nlm.nih.gov/32903055
https://pubmed.ncbi.nlm.nih.gov/32903055
Autor:
Akshay S. Chaudhari, Brian A. Hargreaves, Garry E. Gold, Jeffrey P. Wood, Zhongnan Fang, Eric K. Gibbons, Feliks Kogan, Kathryn J. Stevens, Jin Hyung Lee
Publikováno v:
Magnetic Resonance in Medicine. 80:2139-2154
PURPOSE To develop a super-resolution technique using convolutional neural networks for generating thin-slice knee MR images from thicker input slices, and compare this method with alternative through-plane interpolation methods. METHODS We implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cbe604f59c55db7f44904b9fbeadf3a
https://doi.org/10.1002/mrm.27178
https://doi.org/10.1002/mrm.27178
Publikováno v:
Machine Learning for Medical Image Reconstruction ISBN: 9783030001285
MLMIR@MICCAI
MLMIR@MICCAI
Obtaining magnetic resonance images (MRI) with high resolution and generating quantitative image-based biomarkers for assessing tissue biochemistry is crucial in clinical and research applications. However, acquiring quantitative biomarkers requires
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7d9d1c56bc52ddb5a0cc61ab7257007
https://doi.org/10.1007/978-3-030-00129-2_1
https://doi.org/10.1007/978-3-030-00129-2_1
Publikováno v:
Renewable and Sustainable Energy Reviews. 51:1080-1087
Improving equality and efficiency of household energy distribution is the primary concern of China’s policy makers in their effort to reform the energy pricing system. In this paper, we use Atkinson Index as an analytical tool to quantitatively and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5491266dd61048b8a3b290a9d1f6cfa3
https://doi.org/10.1016/j.rser.2015.07.017
https://doi.org/10.1016/j.rser.2015.07.017
Publikováno v:
Magnetic Resonance in Medicine. 76:440-455
Purpose To propose a novel compressed sensing (CS) high spatial resolution functional MRI (fMRI) method and demonstrate the advantages and limitations of using CS for high spatial resolution fMRI. Methods A randomly undersampled variable density spir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7ff575b97f81f032701ff32f5fca591
https://doi.org/10.1002/mrm.25854
https://doi.org/10.1002/mrm.25854
Autor:
Robert S. Fisher, Jia Liu, ManKin Choy, Wesley C. Smith, Jin Hyung Lee, Zhongnan Fang, Peter Lin, Hyun Joo Lee, Andrew J. Weitz, Matthew Rosenberg
Publikováno v:
NeuroImage. 107:229-241
Although the connectivity of hippocampal circuits has been extensively studied, the way in which these connections give rise to large-scale dynamic network activity remains unknown. Here, we used optogenetic fMRI to visualize the brain network dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1123d844f0d7b55da6711c7f138a6fd
https://doi.org/10.1016/j.neuroimage.2014.10.039
https://doi.org/10.1016/j.neuroimage.2014.10.039
Autor:
Kaustubh Supekar, Srikanth Ryali, Daniel L. Albaugh, Vinod Menon, Tianwen Chen, Zhongnan Fang, Yen-Yu Ian Shih, John Kochalka, Jin Hyung Lee
State-space multivariate dynamical systems (MDS) (Ryali et al. 2011) and other causal estimation models are being increasingly used to identify directed functional interactions between brain regions. However, the validity and accuracy of such methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb4015d058277c2c39c112940fd946a
Autor:
Partha P. Mitra, Robert B. Fisher, Peter Lin, ManKin Choy, Nicholas D. Schiff, Andrew J. Weitz, Zhongnan Fang, Vadim Pinskiy, Hyun Joo Lee, Jin Hyung Lee, Jia Liu, Alexander Tolpygo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50048a88e68fbb7c3e81a930a523a6ba
https://doi.org/10.7554/elife.09215.030
https://doi.org/10.7554/elife.09215.030