Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Peizhou Huang"'
Autor:
Yang Zhang, Gaoxiang Wang, Peizhou Huang, Edison Sun, Junghun Kweon, Qianru Li, Ji Zhe, Leslie L. Ying, Hao F. Zhang
Publikováno v:
Anal Chem
Super-resolution microscopy can capture spatiotemporal organizations of protein interactions with resolution down to 10 nm; however, the analyses of more than two proteins involving low-abundance protein are challenging because spectral crosstalk and
Autor:
Hongyu Li, Mingrui Yang, Jee Hun Kim, Chaoyi Zhang, Ruiying Liu, Peizhou Huang, Dong Liang, Xiaoliang Zhang, Xiaojuan Li, Leslie Ying
Publikováno v:
Magnetic resonance in medicine. 89(1)
To develop an ultrafast and robust MR parameter mapping network using deep learning.We design a deep learning framework called SuperMAP that directly converts a series of undersampled (both in k-space and parameter-space) parameter-weighted images in
Autor:
Leslie Ying, Dong Liang, Naveen Subhas, K. Mamoto, Hongyu Li, Carl S. Winalski, Chaoyi Zhang, Bowen Shen, Xiaojuan Li, Sunil Kumar Gaire, Nancy A. Obuchowski, Ruiying Liu, Peizhou Huang, Mingrui Yang, Joshua M. Polster
Publikováno v:
Quant Imaging Med Surg
Background: MRI acceleration using deep learning (DL) convolutional neural networks (CNNs) is a novel technique with great promise. Increasing the number of convolutional layers may allow for more accurate image reconstruction. Studies on evaluating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d5a239d6292570189ed5a6d63413074
https://hdl.handle.net/10919/101109
https://hdl.handle.net/10919/101109
Autor:
Haifeng Wang, Leslie Ying, Sunil Kumar Gaire, Hongyu Li, Chaoyi Zhang, Peizhou Huang, Ruiying Liu, Dong Liang
Publikováno v:
ISBI
Single-molecule-localization based super-resolution microscopy has enabled the imaging of microscopic objects beyond the diffraction limit. However, these techniques are limited by the requirements of an extremely large number of frames for imaging o