Pew-Thian Yap

University of North Carolina (UNC) at Chapel Hill

SCHOLARLY PAPERS

5

DOWNLOADS

278

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Transfarchnet: Predicting Dental Arch Curves Based on Facial Point Clouds in Personalized Panoramic X-Ray Imaging

Number of pages: 12 Posted: 08 Oct 2024
Guoye Lin, Shuo Yang, Yangfan Chen, Qing Xu, Pew-Thian Yap, Zhaoqiang Yun and Qianjin Feng
Southern Medical University, affiliation not provided to SSRN, Southern Medical University, Southern Medical University, University of North Carolina (UNC) at Chapel Hill, Southern Medical University and Southern Medical University
Downloads 108 (546,794)

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Geometric Deep Learning, Personalized panoramic imaging, Dental Arch, Facial Point Clouds

2.

Mapping the Evolution of Regional Brain Network Efficiency and its Association with Infant Cognitive Abilities

Number of pages: 46 Posted: 07 Mar 2023
Weixiong Jiang, Zhen Zhou, Guoshi Li, Weiyan Yin, Zhengwang Wu, Li Wang, Maryam Ghanbari, Gang Li, Pew-Thian Yap, Brittany R. Howell, Martin A. Styner, Essa Yacoub, Heather Hazlett, John H. Gilmore, J. Keith Smith, Kamil Ugurbil, Jed T. Elison, Han Zhang, Dinggang Shen and Weili Lin
University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of Minnesota - Minneapolis - Institute of Child Development, University of North Carolina (UNC) at Chapel Hill, University of Michigan at Ann Arbor - University of Michigan Medical School, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill - Department of Psychiatry, University of North Carolina (UNC) at Chapel Hill, University of Minnesota - Twin Cities - Center for Magnetic Resonance Research, University of Minnesota - Minneapolis - Institute of Child Development, ShanghaiTech University, ShanghaiTech University and University of North Carolina (UNC) at Chapel Hill
Downloads 53 (825,871)

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Early Brain Development, Brain networks, Graph theory, Resting-state fMRI, Cognitive ability, Network efficiency

3.

Symmetric Deformable Registration of Multimodal Brain Magnetic Resonance Images Via Appearance Residuals

Number of pages: 34 Posted: 18 Sep 2024
Yunzhi Huang, Luyi Han, Haoran Dou, Sahar Ahmad and Pew-Thian Yap
Nanjing University of Information Science and Technology, Netherlands Cancer Institute, University of Leeds, affiliation not provided to SSRN and University of North Carolina (UNC) at Chapel Hill
Downloads 47 (873,401)

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residual learning, appearance residuals, multimodal deformable registration, brain MRI

4.

Enforcing Contextual and Structural Similarity in Medical Image Segmentation

Number of pages: 16 Posted: 03 Feb 2023
Xiaoyang Chen, Qin Liu, Hannah H. Deng, Tianshu Kuang, Henry Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, James J. Xia and Pew-Thian Yap
affiliation not provided to SSRN, affiliation not provided to SSRN, Houston Methodist Hospital, Houston Methodist Hospital, Houston Methodist Hospital, affiliation not provided to SSRN, Houston Methodist Hospital, Houston Methodist Hospital and University of North Carolina (UNC) at Chapel Hill
Downloads 41 (926,710)

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Image Segmentation, Inter-voxel relationships, Regional constraint, Cone-beam computed tomography, Pancreas segmentation

5.

Improved Polar Complex Exponential Transform for Robust Local Image Description

Number of pages: 26 Posted: 26 Sep 2022
Zhanlong Yang, Linzhi Yang, Geng Chen and Pew-Thian Yap
affiliation not provided to SSRN, affiliation not provided to SSRN, Northwestern Polytechnic University (NPU) and University of North Carolina (UNC) at Chapel Hill
Downloads 29 (1,050,689)

Abstract:

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Image description, Local Image Descriptor, Polar Complex Exponential Transform, Phase Information