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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Mr Xingru Huang

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Erdogan E, Huang X, Cooper J, Jain A, Ramasamy A, Bajaj R, Torii R, Moon J et al. ( 2022 ) . End-diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden . Catheterization and Cardiovascular Interventions vol. 99 , ( 3 ) 706 - 713 .
Erdogan E, Huang X, Cooper J, Jain A, Ramasamy A, Bajaj R, Torii R, Moon J et al. ( 2021 ) . TCT-426 Electrocardiographically Gated Intravascular Image Segmentation Enables More Reproducible Volumetric Analysis of Atheroma Burden . Journal of the American College of Cardiology . vol. 78 ,
Bajaj R, Huang X, Kilic Y, Ramasamy A, Jain A, Ozkor M, Tufaro V, Safi H et al. ( 2021 ) . Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images . International Journal of Cardiology vol. 339 , 185 - 191 .
Sun Y, Huang X, Zhou H, Zhang Q ( 2021 ) . SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images . Medical Image Analysis vol. 72 ,
Bajaj R, Huang X, Kilic Y, Jain A, Ramasamy A, Torii R, Moon J, Koh T et al. ( 2021 ) . A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images . International Journal of Cardiovascular Imaging vol. 37 , ( 6 ) 1825 - 1837 .
Lou L, Cao J, Wang Y, Gao Z, Jin K, Xu Z, Zhang Q, Huang X et al. ( 2021 ) . Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery . Annals of Medicine vol. 53 , ( 1 ) 2278 - 2285 .
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