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Wen Wu
Researcher at University of Macau
Publications - 41
Citations - 625
Wen Wu is an academic researcher from University of Macau. The author has contributed to research in topics: Haptic technology & Finite element method. The author has an hindex of 13, co-authored 41 publications receiving 582 citations. Previous affiliations of Wen Wu include The Chinese University of Hong Kong & Macau University of Science and Technology.
Papers
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Journal ArticleDOI
Vessel extraction from non-fluorescein fundus images using orientation-aware detector
Benjun Yin,Huating Li,Bin Sheng,Xuhong Hou,Yan Chen,Wen Wu,Ping Li,Ruimin Shen,Yuqian Bao,Weiping Jia +9 more
TL;DR: The proposed approach effectively works with non-fluorescein fundus images and proves highly accurate and robust in complicated regions such as the central reflex, close vessels, and crossover points, despite a high level of illumination noise in the original data.
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A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting
Wen Wu,Pheng-Ann Heng +1 more
TL;DR: A model on topology change and deformation of soft tissue, referred to as the hybrid condensed finite element model, based on the volumetric finite element method, which has the ability to achieve an interactive frame rate for the topologychange in surgical simulation on standard PC platform.
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An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation
Wen Wu,Pheng-Ann Heng +1 more
TL;DR: An improved scheme of an interactive finite element model for simulating the surgical process of organ deformation, cutting, dragging, and poking, which can maximally compromise the flexibility and reality of soft-tissue models is proposed.
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Robust dense reconstruction by range merging based on confidence estimation
TL;DR: Effective range-computation and confidence-estimation methods are proposed to handle the problems of textureless regions, outliers and detail loss and these difficult problems are handled effectively by a robust model that outputs an accurate and dense reconstruction as the final result from an input of multiple images captured by a normal camera.
Journal ArticleDOI
Virtual reality techniques. Application to anatomic visualization and orthopaedics training.
Pheng-Ann Heng,Chun-Yiu Cheng,Tien-Tsin Wong,Wen Wu,Yangsheng Xu,Yongming Xie,Yim-Pan Chui,Kai-Ming Chan,Kwok-Sui Leung +8 more
TL;DR: In this paper, the authors describe various techniques used in developing a virtual reality system for anatomic visualization and training arthroscopic knee surgeons and present various developments in segmentation, personal-computer-based realtime volume visualization, soft tissue deformation with topological change in real-time using finite element analysis, and soft tissue cutting with tactile feedback.