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Computer Science

D-Index
56
Citations
14427
World Ranking
4026
National Ranking
1918

Overview

Pew Thian Yap is affiliated with the University of North Carolina at Chapel Hill in the United States and has contributed extensively to the field of Medicine, with a particular focus on Radiology, Nuclear Medicine, and Imaging.

Their research covers topics including:

  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Medical Image Segmentation Techniques
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Brain Tumor Detection and Classification

Pew Thian Yap has published frequently in several venues, most notably:

  • UNC Libraries
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Lecture notes in computer science
  • arXiv (Cornell University)
  • Medical Image Analysis

Some of their recent papers include:

  • Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images, 2020, Medical Image Analysis
  • Federated learning for medical image analysis: A survey, 2024, Pattern Recognition
  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity, 2021, IEEE Transactions on Medical Imaging
  • Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners, 2020, IEEE Transactions on Medical Imaging
  • Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification, 2021, Medical Image Analysis

The scientist has collaborated frequently with colleagues such as:

  • Dinggang Shen
  • Sahar Ahmad
  • Weili Lin
  • Khoi Minh Huynh
  • Ye Wu

Best Publications

  • Image analysis by Krawtchouk moments

    P.-T. Yap;R. Paramesran;Seng-Huat Ong

  • Infant brain atlases from neonates to 1- and 2-year-olds.

    Feng Shi;Pew Thian Yap;Guorong Wu;Hongjun Jia

  • Identification of MCI individuals using structural and functional connectivity networks

    Chong Yaw Wee;Pew Thian Yap;Daoqiang Zhang;Kevin Denny

  • The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.

    Brittany R. Howell;Martin A. Styner;Wei Gao;Wei Gao;Pew-Thian Yap

  • Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

    Pew-Thian Yap;Xudong Jiang;Alex Chichung Kot

  • LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations

    Feng Shi;Jian Cheng;Li Wang;Pew-Thian Yap

  • Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

    Yue Zhou;Houjin Chen;Yanfeng Li;Qin Liu

  • BIRNet: Brain image registration using dual-supervised fully convolutional networks.

    Jingfan Fan;Xiaohuan Cao;Pew Thian Yap;Dinggang Shen;Dinggang Shen

  • Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns.

    Chong Yaw Wee;Pew Thian Yap;Dinggang Shen

  • Enriched white matter connectivity networks for accurate identification of MCI patients.

    Chong Yaw Wee;Pew Thian Yap;Wenbin Li;Kevin Denny

  • Image Analysis Using Hahn Moments

    Pew-Thian Yap;R. Paramesran;Seng-Huat Ong

  • Development trends of white matter connectivity in the first years of life.

    Pew Thian Yap;Yong Fan;Yasheng Chen;John H. Gilmore

  • Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification

    Chong Yaw Wee;Pew Thian Yap;Daoqiang Zhang;Daoqiang Zhang;Lihong Wang

  • Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification.

    Chong Yaw Wee;Sen Yang;Pew Thian Yap;Dinggang Shen;Dinggang Shen

  • Computational neuroanatomy of baby brains: A review.

    Gang Li;Li Wang;Pew Thian Yap;Fan Wang

  • Image focus measure based on Chebyshev moments

    P.T. Yap;P. Raveendran

  • Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

    Mingxia Liu;Jun Zhang;Dong Nie;Pew-Thian Yap

  • Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation

    Mingliang Wang;Daoqiang Zhang;Jiashuang Huang;Pew-Thian Yap

  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

    Dongren Yao;Jing Sui;Mingliang Wang;Erkun Yang

  • Altered structural connectivity in neonates at genetic risk for schizophrenia: a combined study using morphological and white matter networks.

    Feng Shi;Pew Thian Yap;Wei Gao;Weili Lin

  • Iterative multi-atlas-based multi-image segmentation with tree-based registration.

    Hongjun Jia;Pew Thian Yap;Dinggang Shen

  • Resting-state multi-spectrum functional connectivity networks for identification of MCI patients.

    Chong Yaw Wee;Pew Thian Yap;Kevin Denny;Jeffrey N. Browndyke

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Chong Yaw Wee
Chong Yaw Wee University of North Carolina at Chapel Hill
Feng Shi
Feng Shi United Imaging Intelligence (China)
Qian Wang
Qian Wang Shanghai Jiao Tong University
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Gang Li
Gang Li University of North Carolina at Chapel Hill
Han Zhang
Han Zhang ShanghaiTech University
Lihong Wang
Lihong Wang University of Connecticut Health Center
Yong Fan
Yong Fan University of Pennsylvania

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