Image restoration of noisy images using Tchebichef moments. - Pew-Thian Yap; P. Raveendran 001 (APCCAS (2), 2002)

Image analysis by Krawtchouk moments. - Pew-Thian Yap; Paramesran Raveendran; Seng-Huat Ong (IEEE Trans. Image Process., 2003)

An Efficient Method for the Computation of Legendre Moments. - Pew-Thian Yap; Paramesran Raveendran (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Image Analysis Using Hahn Moments. - Pew-Thian Yap; Paramesran Raveendran; Seng-Huat Ong (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Eigenmoments. - Pew-Thian Yap; Paramesran Raveendran (Pattern Recognit., 2007)

Boosted complex moments for discriminant rotation invariant object recognition. - Pew-Thian Yap; Xudong Jiang 001; Alex ChiChung Kot (ICPR, 2008)

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; Jie-Zhi Cheng; Lawrence L. Wald; Guido Gerig; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. - Songyuan Tang; Yong Fan 001; Hongtu Zhu; Pew-Thian Yap; Wei Gao; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

Fast Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (MICCAI (1), 2009)

TIMER: Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (NeuroImage, 2009)

Neonatal brain MRI segmentation by building multi-region-multireference atlases. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (ISBI, 2010)

Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration. - Guorong Wu 001; Pew-Thian Yap; Qian Wang 001; Dinggang Shen (ISBI, 2010)

Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. - Feng Shi 001; Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features. - Qian Wang 001; Pew-Thian Yap; Hongjun Jia; Guorong Wu 001; Dinggang Shen (MIAR, 2010)

Hierachical Spherical Harmonics Based Deformable HARDI Registration. - Pew-Thian Yap; Yasheng Chen; Hongyu An; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

A Generalized Learning Based Framework for Fast Brain Image Registration. - Minjeong Kim; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2010)

Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. - Chong-Yaw Wee; Pew-Thian Yap; Jeffery N. Browndyke; Guy G. Potter; David C. Steffens; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (MLMI, 2010)

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

Attribute vector guided groupwise registration. - Qian Wang 001; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (NeuroImage, 2010)

TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation. - Guorong Wu 001; Pew-Thian Yap; Minjeong Kim; Dinggang Shen (NeuroImage, 2010)

Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation. - Pew-Thian Yap; Xudong Jiang 001; Alex ChiChung Kot (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences]. - Pew-Thian Yap; Guorong Wu 001; Dinggang Shen (IEEE Signal Process. Mag., 2010)

F-TIMER: Fast Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2010)

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. - Luping Zhou; Yaping Wang; Yang Li 010; Pew-Thian Yap; Dinggang Shen (CVPR, 2011)

Automated DNA fiber tracking and measurement. - Yaping Wang; Paul Chastain; Pew-Thian Yap; Jie-Zhi Cheng; David Kaufman; Lei Guo 002; Dinggang Shen (ISBI, 2011)

Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. - Yaping Wang; Jingxin Nie; Pew-Thian Yap; Feng Shi 001; Lei Guo 002; Dinggang Shen (MICCAI (3), 2011)

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. - Li Wang 026; Feng Shi 001; Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MBIA, 2011)

Fiber Modeling and Clustering Based on Neuroanatomical Features. - Qian Wang 001; Pew-Thian Yap; Guorong Wu 001; Dinggang Shen (MICCAI (2), 2011)

Diffusion Tensor Image Registration with Combined Tract and Tensor Features. - Qian Wang 001; Pew-Thian Yap; Guorong Wu 001; Dinggang Shen (MICCAI (2), 2011)

Identification of Individuals with MCI via Multimodality Connectivity Networks. - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Kevin Denny; Lihong Wang; Dinggang Shen (MICCAI (2), 2011)

Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates. - Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (2), 2011)

Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations. - Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (2), 2011)

Intermediate templates guided groupwise registration of diffusion tensor images. - Hongjun Jia; Pew-Thian Yap; Guorong Wu 001; Qian Wang 001; Dinggang Shen (NeuroImage, 2011)

Enriched white matter connectivity networks for accurate identification of MCI patients. - Chong-Yaw Wee; Pew-Thian Yap; Wenbin Li 006; Kevin Denny; Jeffrey N. Browndyke; Guy G. Potter; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (NeuroImage, 2011)

SPHERE: SPherical Harmonic Elastic REgistration of HARDI data. - Pew-Thian Yap; Yasheng Chen; Hongyu An; Yang Yang 110; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2011)

PopTract: Population-Based Tractography. - Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2011)

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. - Yu Zhang; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen (CVPR, 2012)

Group Sparsity Constrained Automatic Brain Label Propagation. - Shu Liao; Daoqiang Zhang; Pew-Thian Yap; Guorong Wu 001; Dinggang Shen (MLMI, 2012)

Tree-Guided Sparse Coding for Brain Disease Classification. - Manhua Liu; Daoqiang Zhang; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2012)

Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. - Manhua Liu; Daoqiang Zhang; Pew-Thian Yap; Dinggang Shen (MLMI, 2012)

Groupwise Segmentation Improves Neuroimaging Classification Accuracy. - Yaping Wang; Hongjun Jia; Pew-Thian Yap; Bo Cheng 006; Chong-Yaw Wee; Lei Guo 002; Dinggang Shen (MBIA, 2012)

Constrained Sparse Functional Connectivity Networks for MCI Classification. - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Lihong Wang; Dinggang Shen (MICCAI (2), 2012)

DWI Denoising Using Spatial, Angular, and Radiometric Filtering. - Pew-Thian Yap; Dinggang Shen (MBIA, 2012)

Spatial Warping of DWI Data Using Sparse Representation. - Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2012)

Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling. - Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2012)

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images. - Pei Zhang 002; Marc Niethammer; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 2012)

Non-local Means Resolution Enhancement of Lung 4D-CT Data. - Yu Zhang; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen (MICCAI (1), 2012)

Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models. - Pei Zhang 002; Pew-Thian Yap; Dinggang Shen; Timothy F. Cootes (MICCAI (3), 2012)

Iterative multi-atlas-based multi-image segmentation with tree-based registration. - Hongjun Jia; Pew-Thian Yap; Dinggang Shen (NeuroImage, 2012)

Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. - Feng Shi 001; Pew-Thian Yap; Wei Gao; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2012)

Identification of MCI individuals using structural and functional connectivity networks. - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Kevin Denny; Jeffrey N. Browndyke; Guy G. Potter; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (NeuroImage, 2012)

Invariant representation of orientation fields for fingerprint indexing. - Manhua Liu; Pew-Thian Yap (Pattern Recognit., 2012)

A General Fast Registration Framework by Learning Deformation-Appearance Correlation. - Minjeong Kim; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2012)

Spatial Transformation of DWI Data Using Non-Negative Sparse Representation. - Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2012)

Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. - Yu Zhang; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2012)

The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI. - Pew-Thian Yap; Hongyu An; Yasheng Chen; Dinggang Shen (IPMI, 2013)

Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation. - Jian Cheng 002; Rachid Deriche; Tianzi Jiang; Dinggang Shen; Pew-Thian Yap (CDMRI/MMBC@MICCAI, 2013)

Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. - Jian Cheng 002; Tianzi Jiang; Rachid Deriche; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2013)

Low-Rank Total Variation for Image Super-Resolution. - Feng Shi 001; Jian Cheng 002; Li Wang 026; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2013)

Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. - Kim-Han Thung; Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen (MLMI, 2013)

Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. - Chong-Yaw Wee; Sen Yang; Pew-Thian Yap; Dinggang Shen (MLMI, 2013)

A Generative Model for Resolution Enhancement of Diffusion MRI Data. - Pew-Thian Yap; Hongyu An; Yasheng Chen; Dinggang Shen (MICCAI (3), 2013)

Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap. - Pew-Thian Yap; Hongyu An; Yasheng Chen; Dinggang Shen (CDMRI/MMBC@MICCAI, 2013)

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization. - Pei Zhang 002; Marc Niethammer; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 2013)

Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. - Pei Zhang 002; Chong-Yaw Wee; Marc Niethammer; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2013)

Consistent 4D brain extraction of serial brain MR images. - Yaping Wang; Gang Li 001; Jingxin Nie; Pew-Thian Yap; Lei Guo 002; Dinggang Shen (Image Processing, 2013)

Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code. - Jian Cheng 002; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2014)

Robust Anatomical Landmark Detection for MR Brain Image Registration. - Dong Han; Yaozong Gao; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2014)

Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. - Feng Shi 001; Jian Cheng 002; Li Wang 026; Pew-Thian Yap; Dinggang Shen (STIA, 2014)

Large deformation diffeomorphic registration of diffusion-weighted imaging data. - Pei Zhang 002; Marc Niethammer; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2014)

Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI. - Jian Cheng 002; Rachid Deriche; Tianzi Jiang; Dinggang Shen; Pew-Thian Yap (NeuroImage, 2014)

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. - Kim-Han Thung; Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen (NeuroImage, 2014)

Fiber-driven resolution enhancement of diffusion-weighted images. - Pew-Thian Yap; Hongyu An; Yasheng Chen; Dinggang Shen (NeuroImage, 2014)

Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap. - Pew-Thian Yap; Hongyu An; Yasheng Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. - Dinggang Shen; Chong-Yaw Wee; Daoqiang Zhang; Luping Zhou; Pew-Thian Yap (Machine Learning in Healthcare Informatics, 2014)

Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI. - Jian Cheng 002; Dinggang Shen; Peter J. Basser; Pew-Thian Yap (IPMI, 2015)

Collaborative non-local means denoising of magnetic resonance images. - Geng Chen 001; Pei Zhang 002; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (ISBI, 2015)

Block-Based Statistics for Robust Non-parametric Morphometry. - Geng Chen 001; Pei Zhang 002; Ke Li; Chong-Yaw Wee; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Patch-MI@MICCAI, 2015)

Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. - Jian Cheng 002; Dinggang Shen; Pew-Thian Yap; Peter J. Basser (MICCAI (1), 2015)

Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. - Jian Cheng 002; Dinggang Shen; Pew-Thian Yap; Peter J. Basser (MICCAI (1), 2015)

Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. - Yanrong Guo; Guorong Wu 001; Pew-Thian Yap; Valerie Jewells; Weili Lin; Dinggang Shen (MICCAI (3), 2015)

Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. - Yan Jin 001; Chong-Yaw Wee; Feng Shi 001; Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (MLMI, 2015)

Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli-Mosabbeb; Dinggang Shen (MICCAI (3), 2015)

Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (MICCAI (1), 2015)

Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (MICCAI (1), 2015)

Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (MICCAI (3), 2015)

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases. - Yuyao Zhang; Feng Shi 001; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2015)

Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. - Pei Zhang 002; Guorong Wu 001; Yaozong Gao; Pew-Thian Yap; Dinggang Shen (MCV@MICCAI, 2015)

Robust anatomical landmark detection with application to MR brain image registration. - Dong Han; Yaozong Gao; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (Comput. Medical Imaging Graph., 2015)

XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching. - Geng Chen 001; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2016)

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. - Mingxia Liu 001; Jun Zhang 018; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2016)

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (MICCAI (1), 2016)

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. - Behrouz Saghafi; Geng Chen 001; Feng Shi 001; Pew-Thian Yap; Dinggang Shen (Patch-MI@MICCAI, 2016)

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. - Kim-Han Thung; Ehsan Adeli 001; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2016)

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. - Pew-Thian Yap; Bin Dong 001; Yong Zhang 004; Dinggang Shen (MICCAI (3), 2016)

Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. - Renping Yu; Minghui Deng; Pew-Thian Yap; Zhihui Wei; Li Wang 026; Dinggang Shen (MLMI@MICCAI, 2016)

A dynamic tree-based registration could handle possible large deformations among MR brain images. - Pei Zhang 002; Guorong Wu 001; Yaozong Gao; Pew-Thian Yap; Dinggang Shen (Comput. Medical Imaging Graph., 2016)

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning. - Haiyong Wu; Geng Chen 001; Yan Jin 001; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2016)

Denoising magnetic resonance images using collaborative non-local means. - Geng Chen 001; Pei Zhang 002; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Neurocomputing, 2016)

Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ0 Sparse-Group Estimation. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (IEEE Trans. Image Process., 2016)

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. - Yuyao Zhang; Feng Shi 001; Guorong Wu 001; Li Wang 026; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

q-Space Upsampling Using x-q Space Regularization. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. - Jaeil Kim; Geng Chen 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2017)

Multimodal Hyper-connectivity Networks for MCI Classification. - Yang Li 010; Xinqiang Gao; Biao Jie; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MICCAI (1), 2017)

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Mei-Lin Luo; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. - Yang Li 010; Jingyu Liu 002; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Novel Effective Connectivity Network Inference for MCI Identification. - Yang Li 010; Hao Yang 032; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. - Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (DLMIA/ML-CDS@MICCAI, 2017)

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. - Lichi Zhang; Han Zhang 002; Xiaobo Chen 001; Qian Wang 001; Pew-Thian Yap; Dinggang Shen (Patch-MI@MICCAI, 2017)

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. - Yujia Zhou 001; Pew-Thian Yap; Han Zhang 002; Lichi Zhang; Qianjin Feng; Dinggang Shen (MICCAI (1), 2017)

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. - Mingxia Liu 001; Jun Zhang 018; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2017)

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (NeuroImage, 2017)

Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. - Pei Dong; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2018)

Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. - Jingfan Fan; Xiaohuan Cao; Zhong Xue; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2018)

Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. - Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (PRIME@MICCAI, 2018)

Penalized Geodesic Tractography for Mitigating Gyral Bias. - Ye Wu 001; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2018)

A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions. - Ye Wu 001; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2018)

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI. - Yongqin Zhang; Jie-Zhi Cheng; Lei Xiang; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2018)

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2018)

Spatiotemporal Analysis of Developing Brain Networks. - Ping He 001; Xiaohua Xu 001; Han Zhang 002; Gang Li 001; Jingxin Nie; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 2018)

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli 001; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Deformable Image Registration Using a Cue-Aware Deep Regression Network. - Xiaohuan Cao; Jianhua Yang 005; Jun Zhang 018; Qian Wang 001; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

Multi-Hypergraph Learning for Incomplete Multimodality Data. - Mingxia Liu 001; Yue Gao 002; Pew-Thian Yap; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2018)

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. - Mingxia Liu 001; Jun Zhang 018; Dong Nie; Pew-Thian Yap; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2018)

Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. - Jian Cheng 002; Dinggang Shen; Pew-Thian Yap; Peter J. Basser (IEEE Trans. Medical Imaging, 2018)

Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery. - Zhenyu Tang 002; Sahar Ahmad; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. - Yoonmi Hong; Geng Chen 001; Pew-Thian Yap; Dinggang Shen (IPMI, 2019)

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. - Peirong Liu; Zhengwang Wu; Gang Li 001; Pew-Thian Yap; Dinggang Shen (IPMI, 2019)

Asymmetry Spectrum Imaging for Baby Diffusion Tractography. - Ye Wu 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (IPMI, 2019)

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. - Sahar Ahmad; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2019)

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. - Yoonmi Hong; Geng Chen 001; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2019)

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Geng Chen 001; Kim-Han Thung; Haiyong Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Kim-Han Thung; Geng Chen 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. - Yankun Lang; Li Wang 026; Pew-Thian Yap; Chunfeng Lian; Hannah H. Deng; Kim-Han Thung; Deqiang Xiao; Peng Yuan 001; Steve Guo-Fang Shen; Jaime Gateno; Tianshu Kuang; David M. Alfi; et al. (GLMI@MICCAI, 2019)

Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI. - Guoshi Li; Yujie Liu; Yanting Zheng; Ye Wu 001; Pew-Thian Yap; Shijun Qiu; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. - Feihong Liu; Jun Feng 003; Geng Chen 001; Ye Wu 001; Yoonmi Hong; Pew-Thian Yap; Dinggang Shen (GLMI@MICCAI, 2019)

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2019)

Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. - Liangqiong Qu; Shuai Wang 002; Pew-Thian Yap; Dinggang Shen (MICCAI (4), 2019)

Automated Parcellation of the Cortex Using Structural Connectome Harmonics. - Hoyt Patrick Taylor IV; Zhengwang Wu; Ye Wu 001; Dinggang Shen; Han Zhang 002; Pew-Thian Yap (MICCAI (3), 2019)

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. - Dongming Wei; Sahar Ahmad; Jiayu Huo; Wen Peng; Yunhao Ge; Zhong Xue; Pew-Thian Yap; Wentao Li; Dinggang Shen; Qian Wang 001 (MICCAI (5), 2019)

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. - Deqiang Xiao; Li Wang 026; Hannah H. Deng; Kim-Han Thung; Jihua Zhu; Peng Yuan 001; Yriu L. Rodrigues; Leonel Perez Jr.; Christopher E. Crecelius; Jaime Gateno; Tiansku Kuang; Steve Guo-Fang Shen; et al. (MICCAI (5), 2019)

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context. - Feihong Liu; Jun Feng 003; Pew-Thian Yap; Dinggang Shen (CoRR, 2019)

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations. - Sahar Ahmad; Jingfan Fan; Pei Dong; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 2019)

Surface-constrained volumetric registration for the early developing brain. - Sahar Ahmad; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. - Geng Chen 001; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Adversarial learning for mono- or multi-modal registration. - Jingfan Fan; Xiaohuan Cao; Qian Wang 001; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

BIRNet: Brain image registration using dual-supervised fully convolutional networks. - Jingfan Fan; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. - Yang Li 010; Jingyu Liu 002; Xinqiang Gao; Biao Jie; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Medical Image Anal., 2019)

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. - Yongqin Zhang; Pew-Thian Yap; Geng Chen 001; Weili Lin; Li Wang 026; Dinggang Shen (Medical Image Anal., 2019)

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. - Brittany R. Howell; Martin A. Styner; Wei Gao; Pew-Thian Yap; Li Wang 026; Kristine Baluyot; Essa Yacoub; Geng Chen 001; Taylor Potts; Andrew P. Salzwedel; Gang Li 001; John H. Gilmore; et al. (NeuroImage, 2019)

Computational neuroanatomy of baby brains: A review. - Gang Li 001; Li Wang 026; Pew-Thian Yap; Fan Wang 023; Zhengwang Wu; Yu Meng 003; Pei Dong; Jaeil Kim; Feng Shi 001; Islem Rekik; Weili Lin; Dinggang Shen (NeuroImage, 2019)

A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration. - Zhenyu Tang 002; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. - Yongqin Zhang; Feng Shi 001; Jian Cheng 002; Li Wang 026; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Cybern., 2019)

A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases. - Zhenyu Tang 002; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2019)

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. - Yoonmi Hong; Jaeil Kim; Geng Chen 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments. - Khoi Minh Huynh; Geng Chen 001; Ye Wu 001; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. - Sahar Ahmad; Ye Wu 001; Khoi Minh Huynh; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 2020)

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. - Geng Chen 001; Yoonmi Hong; Yongqin Zhang; Jaeil Kim; Khoi Minh Huynh; Jiquan Ma; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. - Feng Cheng; Yong Chen; Xiaopeng Zong; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 2020)

A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. - Maryam Ghanbari; Li-Ming Hsu; Zhen Zhou 004; Amir Ghanbari; Zhanhao Mo; Pew-Thian Yap; Han Zhang 002; Dinggang Shen (MICCAI (7), 2020)

Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. - Hao Guan; Erkun Yang; Li Wang 026; Pew-Thian Yap; Mingxia Liu 001; Dinggang Shen (MLMI@MICCAI, 2020)

Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. - Hao Guan; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (DART/DCL@MICCAI, 2020)

Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. - Khoi Minh Huynh; Ye Wu 001; Kim-Han Thung; Sahar Ahmad; Hoyt Patrick Taylor IV; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. - Yankun Lang; Chunfeng Lian; Deqiang Xiao; Hannah H. Deng; Peng Yuan 001; Jaime Gateno; Steve Guo-Fang Shen; David M. Alfi; Pew-Thian Yap; James J. Xia; Dinggang Shen (MICCAI (4), 2020)

Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. - Chunfeng Lian; Fan Wang 023; Hannah H. Deng; Li Wang 026; Deqiang Xiao; Tianshu Kuang; Hung-Ying Lin; Jaime Gateno; Steve Guo-Fang Shen; Pew-Thian Yap; James J. Xia; Dinggang Shen (MICCAI (4), 2020)

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Wei-Tang Chang; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. - Erkun Yang; Dongren Yao; Bing Cao 002; Hao Guan; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MICCAI (1), 2020)

Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. - Dongren Yao; Jing Sui; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MLMI@MICCAI, 2020)

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). - Yoonmi Hong; Wei-Tang Chang; Geng Chen 001; Ye Wu 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2020)

An Auto-Context Deformable Registration Network for Infant Brain MRI. - Dongming Wei; Sahar Ahmad; Yunzhi Huang; Lei Ma 006; Qian Wang 001; Pew-Thian Yap; Dinggang Shen (CoRR, 2020)

Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. - Liangqiong Qu; Yongqin Zhang; Shuai Wang 002; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2020)

SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. - Dongming Wei; Sahar Ahmad; Jiayu Huo; Pu Huang; Pew-Thian Yap; Zhong Xue; Jianqi Sun; Wentao Li; Dinggang Shen; Qian Wang 001 (Medical Image Anal., 2020)

Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. - Ye Wu 001; Yoonmi Hong; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2020)

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. - Yang Li 010; Jingyu Liu 002; Zi-Wen Peng; Can Sheng; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Neuroinformatics, 2020)

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2020)

Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. - Zhenyu Tang 002; Xianli Liu; Yang Li 010; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2020)

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. - Xu Chen 020; James J. Xia; Dinggang Shen; Chunfeng Lian; Li Wang 026; Hannah H. Deng; Steve H. Fung; Dong Nie; Kim-Han Thung; Pew-Thian Yap; Jaime Gateno (IEEE Trans. Medical Imaging, 2020)

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. - Chunfeng Lian; Li Wang 026; Tai-Hsien Wu; Fan Wang 023; Pew-Thian Yap; Ching-Chang Ko; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (IEEE Trans. Medical Imaging, 2020)

Code used in article "Learning MRI artefact removal with unpaired data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Code used in article "Learning MRI Artefact Removal With Unpaired Data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Code used in article "Learning MRI artefact removal with unpaired data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24 shells diffusion MRI. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates. - Sahar Ahmad; Ye Wu 001; Pew-Thian Yap (MICCAI (7), 2021)

Deformable Registration of Brain MR Images via a Hybrid Loss. - Luyi Han; Haoran Dou; Yunzhi Huang; Pew-Thian Yap (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. - Yoonmi Hong; Sahar Ahmad; Ye Wu 001; Siyuan Liu 004; Pew-Thian Yap (MLMI@MICCAI, 2021)

Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values. - Khoi Minh Huynh; Wei-Tang Chang; Sang Hun Chung; Yong Chen; Yueh Lee; Pew-Thian Yap (MICCAI (6), 2021)

DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models. - Yankun Lang; Hannah H. Deng; Deqiang Xiao; Chunfeng Lian; Tianshu Kuang; Jaime Gateno; Pew-Thian Yap; James J. Xia (MICCAI (4), 2021)

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. - Yilin Liu; Yong Chen; Pew-Thian Yap (MICCAI (6), 2021)

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. - Qin Liu; Han Deng 001; Chunfeng Lian; Xiaoyang Chen; Deqiang Xiao; Lei Ma 006; Xu Chen 020; Tianshu Kuang; Jaime Gateno; Pew-Thian Yap; James J. Xia (MLMI@MICCAI, 2021)

Skull Segmentation from CBCT Images via Voxel-Based Rendering. - Qin Liu; Chunfeng Lian; Deqiang Xiao; Lei Ma 006; Hannah H. Deng; Xu Chen 020; Dinggang Shen; Pew-Thian Yap; James J. Xia (MLMI@MICCAI, 2021)

Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap (MICCAI (7), 2021)

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. - Lei Ma 006; Daeseung Kim; Chunfeng Lian; Deqiang Xiao; Tianshu Kuang; Qin Liu; Yankun Lang; Hannah H. Deng; Jaime Gateno; Ye Wu 001; Erkun Yang; Michael A. K. Liebschner; et al. (MICCAI (4), 2021)

Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters. - Ye Wu 001; Sahar Ahmad; Pew-Thian Yap (MICCAI (7), 2021)

Active Cortex Tractography. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Pew-Thian Yap (MICCAI (7), 2021)

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. - Deqiang Xiao; Hannah H. Deng; Tianshu Kuang; Lei Ma 006; Qin Liu; Xu Chen 020; Chunfeng Lian; Yankun Lang; Daeseung Kim; Jaime Gateno; Steve Guo-Fang Shen; Dinggang Shen; et al. (MICCAI (4), 2021)

Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. - Gregory Szalkowski; Dong Nie; Tong Zhu; Pew-Thian Yap; Jun Lian (Comput. Biol. Medicine, 2021)

Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms. - Siyuan Liu 004; Pew-Thian Yap (CoRR, 2021)

Learning MRI Artifact Removal With Unpaired Data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2021)

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images. - Shuai Wang; Theodore Yanagihara; Bhishamjit Chera; Colette Shen; Pew-Thian Yap; Jun Lian (CoRR, 2021)

Diverse data augmentation for learning image segmentation with cross-modality annotations. - Xu Chen 020; Chunfeng Lian; Li Wang 026; Hannah H. Deng; Tianshu Kuang; Steve H. Fung; Jaime Gateno; Dinggang Shen; James J. Xia; Pew-Thian Yap (Medical Image Anal., 2021)

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. - Hao Guan; Yunbi Liu; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (Medical Image Anal., 2021)

Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. - Yunzhi Huang; Sahar Ahmad; Jingfan Fan; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2021)

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. - Feihong Liu; Jun Feng 003; Geng Chen 001; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2021)

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. - Xuanang Xu; Chunfeng Lian; Shuai Wang 003; Tong Zhu; Ronald C. Chen; Andrew Z. Wang; Trevor J. Royce; Pew-Thian Yap; Dinggang Shen; Jun Lian (Medical Image Anal., 2021)

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. - Yue Zhou 006; Houjin Chen; Yanfeng Li 001; Qin Liu; Xuanang Xu; Shu Wang; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2021)

Learning MRI artefact removal with unpaired data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

Publisher Correction: Learning MRI artefact removal with unpaired data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. - Deqiang Xiao; Chunfeng Lian; Li Wang 026; Hannah H. Deng; Hung-Ying Lin; Kim-Han Thung; Jihua Zhu; Peng Yuan 001; Leonel Perez Jr.; Jaime Gateno; Steve Guo-Fang Shen; Pew-Thian Yap; et al. (IEEE Trans. Biomed. Eng., 2021)

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning. - Deqiang Xiao; Chunfeng Lian; Han Deng 001; Tianshu Kuang; Qin Liu; Lei Ma 006; Daeseung Kim; Yankun Lang; Xu Chen 020; Jaime Gateno; Steve Guo-Fang Shen; James J. Xia; et al. (IEEE J. Biomed. Health Informatics, 2021)

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. - Xiaoyang Chen; Chunfeng Lian; Hannah H. Deng; Tianshu Kuang; Hung-Ying Lin; Deqiang Xiao; Jaime Gateno; Dinggang Shen; James J. Xia; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2021)

Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. - Xu Chen 020; Chunfeng Lian; Li Wang 026; Hannah H. Deng; Tianshu Kuang; Steve H. Fung; Jaime Gateno; Pew-Thian Yap; James J. Xia; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. - Erkun Yang; Mingxia Liu 001; Dongren Yao; Bing Cao 002; Chunfeng Lian; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

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; Yeerfan Jiaerken; Na Luo; Pew-Thian Yap; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Harmonization of Multi-site Cortical Data Across the Human Lifespan. - Sahar Ahmad; Fang Nan; Ye Wu 001; Zhengwang Wu; Weili Lin; Li Wang 026; Gang Li 001; Di Wu; Pew-Thian Yap (MLMI@MICCAI, 2022)

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. - Geng Chen 001; Haotian Jiang; Jiannan Liu; Jiquan Ma; Hui Cui 002; Yong Xia 001; Pew-Thian Yap (MICCAI (1), 2022)

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. - Haoran Dou; Luyi Han; Yushuang He; Jun Xu 005; Nishant Ravikumar; Ritse Mann; Alejandro F. Frangi; Pew-Thian Yap; Yunzhi Huang (MICCAI (4), 2022)

Fast Image-Level MRI Harmonization via Spectrum Analysis. - Hao Guan; Siyuan Liu 004; Weili Lin; Pew-Thian Yap; Mingxia Liu 001 (MLMI@MICCAI, 2022)

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models. - Yankun Lang; Xiaoyang Chen; Hannah H. Deng; Tianshu Kuang; Joshua C. Barber; Jaime Gateno; Pew-Thian Yap; James J. Xia (MICCAI (2), 2022)

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer. - Yunkui Pang; Xu Chen 020; Yunzhi Huang; Pew-Thian Yap; Jun Lian (MICCAI (6), 2022)

Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. - Hao Guan; Ling Yue; Pew-Thian Yap; Andrea Bozoki; Mingxia Liu 001 (CoRR, 2022)

Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. - Tiantian Xu; Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Khoi Minh Huynh; Zhixing Wang; Weili Lin; Wei-Tang Chang; Pew-Thian Yap (Medical Image Anal., 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. - Maryam Ghanbari; Zhen Zhou 004; Li-Ming Hsu; Ying Han; Yu Sun; Pew-Thian Yap; Han Zhang 002; Dinggang Shen (Neuroinformatics, 2022)

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. - Jie Wei; Zhengwang Wu; Li Wang 026; Toan Duc Bui; Liangqiong Qu; Pew-Thian Yap; Yong Xia 001; Gang Li 001; Dinggang Shen (Pattern Recognit., 2022)

Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation. - Xu Chen 020; Tianshu Kuang; Hannah H. Deng; Steve H. Fung; Jaime Gateno; James J. Xia; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2022)

Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. - Yankun Lang; Chunfeng Lian; Deqiang Xiao; Han Deng 001; Kim-Han Thung; Peng Yuan 001; Jaime Gateno; Tianshu Kuang; David M. Alfi; Li Wang 026; Dinggang Shen; James J. Xia; et al. (IEEE Trans. Medical Imaging, 2022)

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. - Dongming Wei; Sahar Ahmad; Yuyu Guo 002; Liyun Chen; Yunzhi Huang; Lei Ma 006; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Pew-Thian Yap; Dinggang Shen; et al. (IEEE Trans. Medical Imaging, 2022)

Surface-Volume Atlases of the Infant Brain. - Sahar Ahmad; Pew-Thian Yap (Zenodo, 2022)

The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. - Yilin Liu; Jiang Li; Yunkui Pang; Dong Nie; Pew-Thian Yap (ICCV, 2023)

MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI. - Junjie Zhao; Siyuan Liu 004; Sahar Ahmad; Pew-Thian Yap (IPMI, 2023)

SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI. - Xiaoyang Chen; Junjie Zhao; Siyuan Liu 004; Sahar Ahmad; Pew-Thian Yap (MICCAI (8), 2023)

Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments. - Khoi Minh Huynh; Ye Wu 001; Sahar Ahmad; Pew-Thian Yap (MICCAI (8), 2023)

Dynamic Functional Connectome Harmonics. - Hoyt Patrick Taylor; Pew-Thian Yap (MICCAI (8), 2023)

Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture. - Ye Wu 001; Xiaoming Liu; Xinyuan Zhang; Khoi Minh Huynh; Sahar Ahmad; Pew-Thian Yap (MICCAI (8), 2023)

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. - Junqing Yang; Haotian Jiang; Tewodros Tassew; Peng Sun; Jiquan Ma; Yong Xia 001; Pew-Thian Yap; Geng Chen 001 (MICCAI (8), 2023)

Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior. - Cheng Che Tsai; Xiaoyang Chen; Sahar Ahmad; Pew-Thian Yap (MLMI@MICCAI (1), 2023)

Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. - Mengqi Wu; Lintao Zhang; Pew-Thian Yap; Weili Lin; Hongtu Zhu; Mingxia Liu 001 (MLMI@MICCAI (1), 2023)

Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning. - Xiaoyang Chen; Jinjian Wu; Wenjiao Lyu; Yicheng Zou; Kim-Han Thung; Siyuan Liu 004; Ye Wu 001; Sahar Ahmad; Pew-Thian Yap (CoRR, 2023)

Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning. - Xiaoyang Chen; Junjie Zhao; Siyuan Liu 004; Sahar Ahmad; Pew-Thian Yap (CoRR, 2023)

Towards Architecture-Insensitive Untrained Network Priors for Accelerated MRI Reconstruction. - Yilin Liu; Yunkui Pang; Jiang Li; Yong Chen; Pew-Thian Yap (CoRR, 2023)

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. - Lei Ma 006; Chunfeng Lian; Dae-Seung Kim; Deqiang Xiao; Dongming Wei; Qin Liu; Tianshu Kuang; Maryam Ghanbari; Guoshi Li; Jaime Gateno; Steve Guo-Fang Shen; Li Wang 026; et al. (Medical Image Anal., 2023)

Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. - Huazhu Fu; Yitian Zhao; Pew-Thian Yap; Carola-Bibiane Schönlieb; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2023)

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. - Lei Ma 006; Deqiang Xiao; Daeseung Kim; Chunfeng Lian; Tianshu Kuang; Qin Liu; Hannah H. Deng; Erkun Yang; Michael A. K. Liebschner; Jaime Gateno; James J. Xia; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2023)

High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network. - Feng Cheng; Yilin Liu; Yong Chen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. - Geng Chen 001; Yoonmi Hong; Khoi Minh Huynh; Pew-Thian Yap (Medical Image Anal., 2023)

Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. - Hao Guan; Ling Yue; Pew-Thian Yap; Shifu Xiao; Andrea Bozoki; Mingxia Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)

Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. - Yunzhi Huang; Sahar Ahmad; Luyi Han; Shuai Wang; Zhengwang Wu; Weili Lin; Gang Li 001; Li Wang 026; Pew-Thian Yap (Pattern Recognit., 2023)

Improved polar complex exponential transform for robust local image description. - Zhanlong Yang; Linzhi Yang; Geng Chen 001; Pew-Thian Yap (Pattern Recognit., 2023)

METER: Multi-task efficient transformer for no-reference image quality assessment. - Pengli Zhu; Siyuan Liu 004; Yancheng Liu; Pew-Thian Yap (Appl. Intell., 2023)

Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior. - Geng Chen 001; Hao Yang 032; Runlin Zhang; Musa Bakarr; Yong Xia 001; Pew-Thian Yap (BIBM, 2024)

Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization. - Yilin Liu; Yunkui Pang; Jiang Li; Yong Chen; Pew-Thian Yap (ECCV (14), 2024)

Development of Effective Connectome from Infancy to Adolescence. - Guoshi Li; Kim-Han Thung; Hoyt Patrick Taylor; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Sahar Ahmad; Pew-Thian Yap (MICCAI (3), 2024)

SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement. - Yunkui Pang; Yilin Liu; Xu Chen 020; Pew-Thian Yap; Jun Lian (MICCAI (7), 2024)

Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. - Mengqi Wu; Minhui Yu; Shuaiming Jing; Pew-Thian Yap; Zhengwu Zhang; Mingxia Liu 001 (CoRR, 2024)

Source-free unsupervised domain adaptation: A survey. - Yuqi Fang; Pew-Thian Yap; Weili Lin; Hongtu Zhu; Ming-Xia Liu 001 (Neural Networks, 2024)

Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI. - Khoi Minh Huynh; Wei-Tang Chang; Ye Wu 001; Pew-Thian Yap (Patterns, 2024)

Improving image segmentation with contextual and structural similarity. - Xiaoyang Chen; Qin Liu; Hannah H. Deng; Tianshu Kuang; Hung-Ying Lin; Deqiang Xiao; Jaime Gateno; James J. Xia; Pew-Thian Yap (Pattern Recognit., 2024)

Federated learning for medical image analysis: A survey. - Hao Guan; Pew-Thian Yap; Andrea Bozoki; Mingxia Liu 001 (Pattern Recognit., 2024)

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. - Qianqian Wang 004; Wei Wang 411; Yuqi Fang; Pew-Thian Yap; Hongtu Zhu; Hong-Jun Li; Lishan Qiao; Mingxia Liu 001 (IEEE Trans. Biomed. Eng., 2024)

Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals. - Yunzhi Huang; Luyi Han; Haoran Dou; Sahar Ahmad; Pew-Thian Yap (Comput. Methods Programs Biomed., 2025)

TransFArchNet: Predicting dental arch curves based on facial point clouds in personalized panoramic X-ray imaging. - Guoye Lin; Shuo Yang; Yangfan Chen; Qing Xu; Pew-Thian Yap; Zhaoqiang Yun; Qianjin Feng (Expert Syst. Appl., 2025)

Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection. - Xiaochuan Wang; Yuqi Fang; Qianqian Wang 004; Pew-Thian Yap; Hongtu Zhu; Mingxia Liu 001 (Medical Image Anal., 2025)

Unsupervised single-image super-resolution for infant brain MRI. - Cheng Che Tsai; Xiaoyang Chen; Sahar Ahmad; Pew-Thian Yap (NeuroImage, 2025)

Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework. - Mengqi Wu; Lintao Zhang; Pew-Thian Yap; Hongtu Zhu; Mingxia Liu 001 (Neural Networks, 2025)

Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis. - Qianqian Wang 004; Junhao Zhang; Long Li; Lishan Qiao; Pew-Thian Yap; Mingxia Liu 001 (Pattern Recognit., 2025)