Y
Yi Lin
Researcher at Sichuan University
Publications - 367
Citations - 7533
Yi Lin is an academic researcher from Sichuan University. The author has contributed to research in topics: Medicine & Trophoblast. The author has an hindex of 37, co-authored 298 publications receiving 5565 citations. Previous affiliations of Yi Lin include Hospital for Special Surgery & Johns Hopkins University.
Papers
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A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
TL;DR: A novel low-cost mini-UAV-based laser scanning system capable of not only recording point cloud data giving the geometry of the objects, but also simultaneously collecting image data, including overlapping images and the intensity of laser backscatter, as well as hyperspectral and thermal data is presented.
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Mini-UAV-Borne LIDAR for Fine-Scale Mapping
TL;DR: A pioneered mini-UAV-borne LIDAR system - Sensei is established schematically with an Ibeo Lux scanner mounted on a small Align T-Rex 600E helicopter to validate its applicability for fine-scale mapping, in terms of, e.g., tree height estimation, pole detection, road extraction, and digital terrain model refinement.
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Adductor canal block versus femoral nerve block for total knee arthroplasty: a prospective, randomized, controlled trial.
David H. Kim,Yi Lin,Enrique A. Goytizolo,Richard L. Kahn,Daniel B. Maalouf,Asha Manohar,Minda L. Patt,Amanda K. Goon,Yuo-yu Lee,Yan Ma,Jacques T. YaDeau +10 more
TL;DR: In this paper, a prospective double-blinded, randomized controlled trial compared adductor canal block (ACB) with femoral nerve block (FNB) in patients undergoing total knee arthroplasty.
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Oxidative Stress in Placenta: Health and Diseases
Fan Wu,Fu-Ju Tian,Yi Lin +2 more
TL;DR: Potential therapies to hold oxidative stress in leash, promote placentation, and avoid unwanted apoptosis are discussed.
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LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics?
TL;DR: With LiDAR determined as a key technical constituent, this study pointed out a novel way for developing the next-generation plant phenotyping techniques, which will be helpful for biologists and agronomists to investigate plant phenomes.