Yan Luo
Zhejiang University
16 Papers
14 Citations
Yan Luo is an academic researcher from Zhejiang University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 1 publications.
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Papers
An Artificial-Intelligence–Based Automated Grading and Lesions Segmentation System for Myopic Maculopathy Based on Color Fundus Photographs
Jia Tang,Mingzhen Yuan,Kaibin Tian,Yuelin Wang,Dong-Yue Wang,Jingyuan Yang,Zhikun Yang,Xixi He,Yan Luo,Ying Li,Jie Xu,Xirong Li,Dayong Ding,Yanhan Ren,Youxin Chen,Srinivas R. Sadda,Weihong Yu +16 more
TL;DR: The models could accurately and automatically grade myopic maculopathy, diagnose pathologic myopia, and identify and monitor progression of the lesions and can potentially help with the diagnosis, screening, and follow-up for pathologicMyopic in clinical practice.
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Informed Patch Enhanced HyperGCN for skeleton-based action recognition
TL;DR: Wang et al. as discussed by the authors proposed an Informed Patch Enhanced HyperGraph Convolutional Network that jointly employs human pose skeleton and informed visual patches for multi-modal feature learning. But, their method is limited to action recognition.
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The 100 most influential articles in myopia: a bibliometric analysis
TL;DR: This bibliometric analysis can provide concise information about the development trend of research in the field of myopia in the past few decades, and provide an important reference for researchers to guide future research.
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Overexpression of TP53INP2 Promotes Apoptosis in Clear Cell Renal Cell Cancer via Caspase-8/TRAF6 Signaling Pathway
TL;DR: The autophagy-related genes (ARGs) of differential expression in ccRCC patients are identified with the help of the TCGA database by bioinformatics analysis and the underlying mechanisms of TP53INP2 on CCRCC were determined via coimmunoprecipitation.
QSim: Framework for Cycle-accurate Simulation on Out-of-Order Processors based on QEMU
Yan Luo,Ying Li,Xinyu Yuan,Rong Yin +3 more
- 08 Dec 2012
TL;DR: This paper presents a co-simulation framework for out-of-order processors, called QEMU-based sim-outorder, or QSim for short, a combination ofQEMU and sim- outorder, in which QEM U does functional simulation, and the simulation result is required by sim-Outorder for clock-accurate simulation.
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