J
Jiang Liu
Researcher at Southern University of Science and Technology
Publications - 398
Citations - 11842
Jiang Liu is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Image segmentation & Optic cup (anatomical). The author has an hindex of 40, co-authored 367 publications receiving 7564 citations. Previous affiliations of Jiang Liu include Institute for Infocomm Research Singapore & National University of Singapore.
Papers
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Proceedings ArticleDOI
Modeling cutting force of laparoscopic scissors
Tao Yang,L. Xiong,Jing Zhang,Liangjing Yang,Weimin Huang,Jiayin Zhou,Jiang Liu,Yi Su,Chee-Kong Chui,C.L. Teo,Stephen Chang +10 more
TL;DR: An analytical model for cutting human iliac artery with laparoscopic scissors is derived with concepts of shearing deformation and fracture mechanics in this study to verify the analytical cutting force model.
Journal ArticleDOI
Automated analysis of angle closure from anterior chamber angle images.
TL;DR: Customized software for automated grading of EyeCam angle images was found to have good agreement with gonioscopy, and human observation of the EyeCam images may still be needed to avoid gross misclassification, especially in eyes with extensive angle closure.
Book ChapterDOI
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
TL;DR: This study presents a new approach for the classification of A/V in OCT-A images, guided by the corresponding fundus images, so that the strengths of both modalities can be integrated together.
Proceedings ArticleDOI
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering
TL;DR: A novel curvilinear structural similarity measure is proposed to guide a dominant-set clustering approach to address this indispensable issue and is applicable to different imaging modalities.
Journal ArticleDOI
Universal digital filtering for denoising volumetric retinal OCT and OCT angiography in 3D shearlet domain
TL;DR: Wang et al. as discussed by the authors proposed a universal digital filtering approach that is capable of minimizing both types of noise, namely speckle noise and bulk motion noise, in OCT and OCT angiography.