P. Yap

Hongtu Zhu, Joseph G Ibrahim, Pew-Thian Yap, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks

Dinggang Shen, Siyuan Liu, Kim-Han Thung, 2019, IEEE Transactions on Image Processing.

Future Trends of PET/MR and Utility of AI in Multi-Modal Imaging

D. Shen, P. Yap, Mingxia Liu, 2021, Hybrid PET/MR Neuroimaging.

Machine Learning in Medical Imaging

Dinggang Shen, Pingkun Yan, Fei Wang, 2012, Lecture Notes in Computer Science.

Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space

Pew-Thian Yap, Dinggang Shen, Yafeng Wu, 2018, Medical Image Anal..

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation

Dinggang Shen, Yu Zhang, Qianjin Feng, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning

P. Yap, C. Lian, M. Liebschner, 2022, IEEE Transactions on Medical Imaging.

Automated Parcellation of the Cortex Using Structural Connectome Harmonics

Han Zhang, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures

Kim-Han Thung, Chunfeng Lian, Xu Chen, 2020, IEEE Transactions on Medical Imaging.

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

P. Yap, J. Xia, J. Gateno, 2022, MICCAI.

Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2015, IPMI.

Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder

D. Shen, F. Shi, P. Yap, 2016, Brain Imaging and Behavior.

The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior

P. Yap, Yilin Liu, Dong Nie, 2023, ArXiv.

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

Pew-Thian Yap, Yong Chen, Yilin Liu, 2021, MICCAI.

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2018, MICCAI.

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain

Pew-Thian Yap, Dinggang Shen, Zhengwang Wu, 2019, MICCAI.

Detail‐preserving construction of neonatal brain atlases in space‐frequency domain

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2016, Human brain mapping.

Hierarchical Patch-based Sparse Representation—a New Approach for Resolution Enhancement of 4d-ct Lung Data

D. Shen, P. Yap, Guorong Wu, 2022 .

Dual-domain convolutional neural networks for improving structural information in 3 T MRI.

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2019, Magnetic resonance imaging.

An Auto-Context Deformable Registration Network for Infant Brain MRI

D. Shen, P. Yap, Sahar Ahmad, 2020, ArXiv.

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2018, MICCAI.

Deformable Image Registration Using a Cue-Aware Deep Regression Network

Dinggang Shen, Qian Wang, Jun Zhang, 2018, IEEE Transactions on Biomedical Engineering.

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks pdf

Pew-Thian Yap, Jun Feng, Dinggang Shen, 2019, GLMI@MICCAI.

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks

Pew-Thian Yap, Weili Lin, Dinggang Shen, 2019, IEEE Transactions on Medical Imaging.

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling

Gang Li, D. Shen, P. Yap, 2021, Pattern Recognit..

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images

Pew-Thian Yap, Dinggang Shen, Jingfan Fan, 2020, Medical Image Anal..

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI

Dinggang Shen, Yong Zhang, Pew-Thian Yap, 2019, Medical Image Anal..

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space

Weili Lin, D. Shen, P. Yap, 2018, Front. Neuroinform..

Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties

Dinggang Shen, Pew-Thian Yap, Yong Zhang, 2015, MICCAI.

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data

Dinggang Shen, Jun Zhang, Mingxia Liu, 2016, MICCAI.

Groupwise Segmentation Improves Neuroimaging Classification Accuracy

Dinggang Shen, Yaping Wang, Lei Guo, 2012, MBIA.

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification

D. Shen, Y. Li, P. Yap, 2019, Neuroinformatics.

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning

S. Shen, D. Shen, P. Yap, 2022, Medical Image Anal..

Longitudinal Parcellation of the Infant Cortex Using Multi-modal Connectome Harmonics

Zhengwang Wu, Khoi Minh Huynh, Sahar Ahmad, 2021, Computational Diffusion MRI.

A dynamic tree-based registration could handle possible large deformations among MR brain images

Yaozong Gao, Dinggang Shen, Guorong Wu, 2016, Comput. Medical Imaging Graph..

Neonatal brain MRI segmentation by building multi-region-multi-reference atlases

J. Gilmore, Weili Lin, D. Shen, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Image registration using machine and deep learning

Xiaohuan Cao, Dinggang Shen, Jingfan Fan, 2020 .

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion

D. Shen, P. Yap, Chong-Yaw Wee, 2014, NeuroImage.

A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla

P. Yap, Xiaoyang Chen, Liangqiong Qu, 2023, Scientific data.

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

R. Deriche, L. Concha, J. Thiran, 2023, NeuroImage.

Longitudinal Harmonization for Improving Tractography in Baby Diffusion MRI.

Dinggang Shen, Pew Thian Yap, Ye Wu, 2019, Computational diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018. Workshop on Computational Diffusion MRI.

Improving Estimation of Fiber Orientations in Diffusion MRI Using Inter-Subject Information Sharing

Ke Li, Pew-Thian Yap, Chong-Yaw Wee, 2016, Scientific Reports.

A Generalized Learning Based Framework for Fast Brain Image Registration

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2010, MICCAI.

Attribute vector guided groupwise registration

P. Yap, Guorong Wu, Qian Wang, 2010, NeuroImage.

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images pdf

Pew-Thian Yap, Jun Lian, Shuai Wang, 2021, ArXiv.

Patient-Specific Reference Model for Planning Orthognathic Surgery

Philip K. M. Lee, S. Shen, D. Shen, 2021, Machine Learning in Dentistry.

Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2014, MICCAI.