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Xingde Li
Researcher at Johns Hopkins University
Publications - 291
Citations - 18785
Xingde Li is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Optical coherence tomography & Endomicroscopy. The author has an hindex of 60, co-authored 280 publications receiving 17610 citations. Previous affiliations of Xingde Li include Kennedy Krieger Institute & Institute for Systems Biology.
Papers
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Proceedings ArticleDOI
Ultrahigh resolution OCT using continuum generation in an air-silica microstructure optical fiber
Ingmar Hartl,I. Hartl,Xingde Li,C. Chudoba,James G. Fujimoto,Jinendra Kumar Ranka,R.S. Windler,A.J. Stenz +7 more
TL;DR: In this paper, the authors demonstrate ultra-high-resolution optical coherence tomography using continuum generation in an air-silica microstructure fiber using bandwidths near 1.3 µm, longitudinal resolutions of 4.0 µm.
Proceedings ArticleDOI
Fiber-optic endomicroscopy for intrinsic two-photon fluorescence imaging of epithelial cells and tissues
TL;DR: An endomicroscope with enhanced signal collection efficiency was developed using customized double-clad fiber and aspherical compound-lens and ex vivo two-photon fluorescence imaging of epithelial tissues was demonstrated for the first time with an all-fiber-optic scanning endomicrobialscope.
Proceedings ArticleDOI
In vivo imaging of osteoarthritic changes with optical coherence tomography
Xingde Li,Ravi K. Ghanta,Jurgen M. Herrmann,Costas Pitris,Wolfgang Drexler,Christine Jesser,David Golden,Scot T. Martin,Mark E. Brezinski,James G. Fujimoto +9 more
TL;DR: Optical coherence tomography (OCT) is a powerful medical imaging technology because it permits the high resolution imaging of cross sectional microstructure in situ and in real time as discussed by the authors.
Proceedings Article
Rapid-scanning miniature endoscope for real-time forward-imaging optical coherence tomography coherence tomography
TL;DR: In this article, a 2.4mm diameter PZT-actuated endoscope capable of rapid lateral scanning at 1.2 kHz was developed, and a new lateral-priority image acquisition sequence was demonstrated to achieve forward OCT imaging in real time.
Journal ArticleDOI
Deep learning-based optical coherence tomography image analysis of human brain cancer.
Nathan Wang,Cheng Yu Lee,Hyeon Cheol Park,David W. Nauen,Kaisorn L. Chaichana,Alfredo Quinones-Hinojosa,Chetan Bettegowda,Xingde Li +7 more
TL;DR: In this article , a deep convolutional neural network (CNN) was trained on labeled OCT images and co-occurrence matrix features extracted from these images to synergize attenuation characteristics and texture features.