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2017

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

Zhao, F., Qiao, L., Shi, F., Yap, P. T. & Shen, D. Aug 1 2017 In : Brain Imaging and Behavior. 11, 4, p. 1050-1060 11 p.

Research output: Research - peer-reviewArticle

Autism Spectrum Disorder
Brain
Parietal Lobe
Putamen
Prefrontal Cortex

Image mosaicking using SURF features of line segments

Yang, Z., Shen, D. & Yap, P. T. Mar 1 2017 In : PLoS ONE. 12, 3, e0173627

Research output: Research - peer-reviewArticle

methodology
Lighting
lighting
sampling

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI

Rekik, I., Li, G., Yap, P. T., Chen, G., Lin, W. & Shen, D. May 15 2017 In : NeuroImage. 152, p. 411-424 14 p.

Research output: Research - peer-reviewArticle

Atlases
Joints
White Matter
Brain
Brain Diseases
1 Citations

Spatio-angular consistent construction of neonatal diffusion MRI atlases

Saghafi, B., Kim, J., Chen, G., Shi, F., Lin, W., Yap, P. T. & Shen, D. Jun 1 2017 In : Human Brain Mapping. 38, 6, p. 3175-3189 15 p.

Research output: Research - peer-reviewArticle

Diffusion Magnetic Resonance Imaging
Atlases
Brain
Direction compound
Anisotropy
7 Citations

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data

Liu, M., Zhang, J., Yap, P. T. & Shen, D. Feb 1 2017 In : Medical Image Analysis. 36, p. 123-134 12 p.

Research output: Research - peer-reviewArticle

Alzheimer Disease
Learning
Cognitive Dysfunction
Magnetic resonance imaging
Labels
2016

Accelerating global tractography using parallel Markov chain Monte Carlo

Wu, H., Chen, G., Yang, Z., Shen, D. & Yap, P. T. 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, Vol. none, p. 121-130 10 p. (Mathematics and Visualization; vol. none)

Research output: ResearchConference contribution

Markov Chain Monte Carlo
Fiber
Markov processes
Fibers
Observation

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

Zhang, P., Wu, G., Gao, Y., Yap, P. T. & Shen, D. Sep 1 2016 In : Computerized Medical Imaging and Graphics. 52, p. 1-7 7 p.

Research output: Research - peer-reviewArticle

Atlases
Brain
Image registration
Labels
Anatomy
1 Citations

A hybrid multishape learning framework for longitudinal prediction of cortical surfaces and fiber tracts using neonatal data

Rekik, I., Li, G., Yap, P. T., Chen, G., Lin, W. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 210-218 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Hybrid Learning
Fiber
Prediction
Framework
Fibers
2 Citations

Angular resolution enhancement of diffusion MRI data using inter-subject information transfer

Chen, G., Zhang, P., Li, K., Wee, C. Y., Wu, Y., Shen, D. & Yap, P. T. Jan 1 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, Vol. none, p. 145-157 13 p. (Mathematics and Visualization; vol. none)

Research output: ResearchConference contribution

Resolution Enhancement
Information Transfer
Distribution Function
Magnetic resonance imaging
Distribution functions
4 Citations

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

Zhang, Y., Shi, F., Wu, G., Wang, L., Yap, P. T. & Shen, D. Dec 1 2016 In : IEEE Transactions on Medical Imaging. 35, 12, p. 2568-2577 10 p., 7505972

Research output: Research - peer-reviewArticle

Atlases
Brain
Tissue
2 Citations

Construction of neonatal diffusion atlases via spatio-angular consistency

Saghafi, B., Chen, G., Shi, F., Yap, P. T. & Shen, D. 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 9993 LNCS, p. 9-16 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9993 LNCS)

Research output: ResearchConference contribution

Atlas
Image fusion
Imaging techniques
Image registration
Tensors
4 Citations

Denoising magnetic resonance images using collaborative non-local means

Chen, G., Zhang, P., Wu, Y., Shen, D. & Yap, P. T. Feb 12 2016 In : Neurocomputing. 177, p. 215-227 13 p.

Research output: Research - peer-reviewArticle

Artifacts
Noise
Magnetic Resonance Spectroscopy
Magnetic resonance
Workflow
4 Citations

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

Zhang, Y., Shi, F., Yap, P. T. & Shen, D. Jun 1 2016 In : Human Brain Mapping. 37, 6, p. 2133-2150 18 p.

Research output: Research - peer-reviewArticle

Atlases
Brain
Wavelet Analysis
Neuroimaging
Population
1 Citations

Diagnosis of Alzheimer’s disease using view-aligned hypergraph learning with incomplete multi-modality data

Liu, M., Zhang, J., Yap, P. T. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 308-316 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Multimodality
Alzheimer's Disease
Hypergraph
Learning
Modality
7 Citations
Autism Spectrum Disorder
Brain
Autistic Disorder
Magnetic Resonance Imaging
Cluster Analysis
1 Citations

Dynamic tree-based large-deformation image registration for multi-atlas segmentation

Zhang, P., Wu, G., Gao, Y., Yap, P. T. & Shen, D. 2016 Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015 and Held in Conjunction with MICCAI 2015, Revised Selected Papers. Springer Verlag, Vol. 9601 LNCS, p. 137-145 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9601 LNCS)

Research output: ResearchConference contribution

Atlas
Image Registration
Large Deformation
Segmentation
Image registration
1 Citations

EHUGS: Enhanced hierarchical unbiased graph shrinkage for efficient groupwise registration

Wu, G., Peng, X., Ying, S., Wang, Q., Yap, P. T., Shen, D. & Shen, D. Jan 1 2016 In : PLoS ONE. 11, 1, e0146870

Research output: Research - peer-reviewArticle

shrinkage
methodology
Information Dissemination
Population
Brain
1 Citations

Embarrassingly parallel acceleration of global tractography via dynamic domain partitioning

Wu, H., Chen, G., Jin, Y., Shen, D. & Yap, P. T. Jul 13 2016 In : Frontiers in Neuroinformatics. 10, JUL, 25

Research output: Research - peer-reviewArticle

Fibers
Markov Chains
Noise
Observation
Brain
2 Citations

Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans

Thung, K. H., Wee, C. Y., Yap, P. T. & Shen, D. Nov 1 2016 In : Brain Structure and Function. 221, 8, p. 3979-3995 17 p.

Research output: Research - peer-reviewArticle

Magnetic Resonance Imaging
Cognitive Dysfunction
Alzheimer Disease
History
Learning
3 Citations

Improving estimation of fiber orientations in diffusion MRI using inter-subject information sharing

Chen, G., Zhang, P., Li, K., Wee, C. Y., Wu, Y., Shen, D. & Yap, P. T. Nov 28 2016 In : Scientific Reports. 6, 37847

Research output: Research - peer-reviewArticle

Fiber reinforced materials
Magnetic resonance imaging
Distribution functions
Brain
Affine transforms

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling

Deng, M., Yu, R., Wang, L., Shi, F., Yap, P. T., Shen, D. & Alzheimer's Disease Neuroimaging Initiative Dec 1 2016 In : Medical Physics. 43, 12, p. 6588-6597 10 p.

Research output: Research - peer-reviewArticle

Learning
Brain
Magnetic Resonance Spectroscopy
Cerebrospinal Fluid
White Matter

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling

Yu, R., Deng, M., Yap, P. T., Wei, Z., Wang, L. & Shen, D. Jan 1 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 213-220 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Labeling
Guidance
Segmentation
Learning
Brain
10 Citations

Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer's Disease: A Diffusion MRI Study with DTI and HARDI Models

Wang, T., Shi, F., Jin, Y., Yap, P. T., Wee, C. Y., Zhang, J., Yang, C., Li, X., Xiao, S. & Shen, D. Jan 1 2016 In : Neural Plasticity. 2016, 2947136

Research output: Research - peer-reviewArticle

Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Alzheimer Disease
White Matter
Parietal Lobe
3 Citations

Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder

Wang, L., Wee, C. Y., Tang, X., Yap, P. T. & Shen, D. Mar 1 2016 In : Brain Imaging and Behavior. 10, 1, p. 33-40 8 p.

Research output: Research - peer-reviewArticle

Autism Spectrum Disorder
Gray Matter
White Matter
Magnetic Resonance Imaging
Datasets
5 Citations

Multi-tissue decomposition of diffusion MRI signals via ℓ0 sparse-group estimation

Yap, P. T., Zhang, Y. & Shen, D. Sep 1 2016 In : IEEE Transactions on Image Processing. 25, 9, p. 4340-4353 14 p., 7505644

Research output: Research - peer-reviewArticle

Magnetic resonance imaging
Tissue
Decomposition
Magnetic resonance
Imaging techniques
14 Citations

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

Wee, C. Y., Yang, S., Yap, P. T. & Shen, D. Jun 1 2016 In : Brain Imaging and Behavior. 10, 2, p. 342-356 15 p.

Research output: Research - peer-reviewArticle

Magnetic Resonance Imaging
Learning
Pathology
Brain
Cognitive Dysfunction

SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging

Rao, S., Ibrahim, J. G., Cheng, J., Yap, P. T. & Zhu, H. Oct 1 2016 In : Journal of Computational and Graphical Statistics. 25, 4, p. 1195-1211 17 p.

Research output: Research - peer-reviewArticle

High Angular Resolution
Regression Model
Imaging
Regression model
Voxel
2 Citations

Stability-weighted matrix completion of incomplete multi-modal data for disease diagnosis

Thung, K. H., Adeli, E., Yap, P. T. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 88-96 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Matrix Completion
Low-rank Matrices
Stiffness matrix
Modality
Subsampling
2 Citations

Super-resolution reconstruction of diffusion-weighted images using 4D low-rank and total variation

Shi, F., Cheng, J., Wang, L., Yap, P. T. & Shen, D. 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, Vol. none, p. 15-25 11 p. (Mathematics and Visualization; vol. none)

Research output: ResearchConference contribution

Super-resolution
Total Variation
Imaging
Imaging techniques
Regularization
2 Citations

Tight graph framelets for sparse diffusion MRI q-space representation

Yap, P. T., Dong, B., Zhang, Y. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9902 LNCS, p. 561-569 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9902 LNCS)

Research output: ResearchConference contribution

Graph in graph theory
Magnetic resonance imaging
Wavelet analysis
Graph theory
Inverse problems
4 Citations

XQ-NLM: Denoising diffusion MRI data via x-q space non-local patch matching

Chen, G., Wu, Y., Shen, D. & Yap, P. T. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9902 LNCS, p. 587-595 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9902 LNCS)

Research output: ResearchConference contribution

Denoising
Patch
Magnetic resonance imaging
Image quality
Chemical analysis
2015

Block-based statistics for robust non-parametric morphometry

Chen, G., Zhang, P., Li, K., Wee, C. Y., Wu, Y., Shen, D. & Yap, P. T. Jan 1 2015 Patch-Based Techniques in Medical Imaging - First st International Workshop, Patch-MI 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Springer Verlag, Vol. 9467, p. 62-70 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9467)

Research output: ResearchConference contribution

Morphometry
Statistics
Registration
Sample Size
Block Algorithm
1 Citations

Brain tissue segmentation based on diffusion MRI using ℓ0 sparse-group representation classification

Yap, P. T., Zhang, Y. & Shen, D. 2015 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings. Springer Verlag, Vol. 9351, p. 132-139 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9351)

Research output: ResearchConference contribution

Group Representation
Segmentation
Brain
Magnetic resonance imaging
Tissue
3 Citations

Collaborative non-local means denoising of magnetic resonance images

Chen, G., Zhang, P., Wu, Y., Shen, D. & Yap, P. T. Jan 1 2015 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, Vol. 2015-July, p. 564-567 4 p. 7163936

Research output: ResearchConference contribution

Magnetic resonance
Brain
Image processing
Experiments
Noise
3 Citations

Diffusion compartmentalization using response function groups with cardinality penalization

Yap, P. T., Zhang, Y. & Shen, D. 2015 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9349, p. 183-190 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349)

Research output: ResearchChapter

Penalization
Response Function
Cardinality
Fiber Orientation
Distribution Function
22 Citations

Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks

Jin, Y., Wee, C. Y., Shi, F., Thung, K. H., Ni, D., Yap, P. T. & Shen, D. Dec 1 2015 In : Human Brain Mapping. 36, 12, p. 4880-4896 17 p.

Research output: Research - peer-reviewArticle

Autism Spectrum Disorder
White Matter
Area Under Curve
Parturition
Brain
3 Citations

Identification of infants at risk for autism using multi-parameter hierarchical white matter connectomes

Jin, Y., Wee, C. Y., Shi, F., Thung, K. H., Yap, P. T., Shen, D. & Infant Brain Imaging Study (IBIS) Network 2015 Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015 Held in Conjunction with MICCAI 2015, Proceedings. Springer Verlag, Vol. 9352, p. 170-177 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9352)

Research output: ResearchConference contribution

Disorder
Support vector machines
Imaging techniques
Communication
Experiments
1 Citations

Iterative subspace screening for rapid sparse estimation of brain tissue microstructural properties

Yap, P. T., Zhang, Y. & Shen, D. 2015 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9349, p. 223-230 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349)

Research output: ResearchChapter

Screening
Subspace
Brain
Tissue
Basis Functions
2 Citations
High Angular Resolution
Compressed Sensing
Compressed sensing
Magnetic resonance imaging
Imaging
2 Citations
Diffusion Magnetic Resonance Imaging
Joints
Diffusion Tensor Imaging
Research
White Matter
4 Citations

Joint diagnosis and conversion time prediction of progressive mild cognitive impairment (pMCI) using low-rank subspace clustering and matrix completion

Thung, K. H., Yap, P. T., Adeli-M, E. & Shen, D. 2015 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings. Springer Verlag, Vol. 9351, p. 527-534 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9351)

Research output: ResearchConference contribution

Subspace Clustering
Matrix Completion
Prediction
Subspace
Low-rank Matrices
2 Citations

Longitudinal guided super-resolution reconstruction of neonatal brain MR images

Shi, F., Cheng, J., Wang, L., Yap, P. T. & Shen, D. 2015 Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - 3rd International Workshop, STIA 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers. Springer Verlag, Vol. 8682, p. 67-76 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8682)

Research output: ResearchConference contribution

Super-resolution
Brain
Interpolation
Inverse problems
Splines
19 Citations

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

Shi, F., Cheng, J., Wang, L., Yap, P. T. & Shen, D. Dec 1 2015 In : IEEE Transactions on Medical Imaging. 34, 12, p. 2459-2466 8 p., 7113897

Research output: Research - peer-reviewArticle

Interpolation
Optical resolving power
Image resolution
Recovery
Pediatrics

Novel single and multiple shell uniform sampling schemes for diffusion MRI using spherical codes

Cheng, J., Shen, D., Yap, P. T. & Basser, P. J. 2015 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9349, p. 28-36 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349)

Research output: ResearchChapter

Spherical Codes
Shell
Codes (standards)
Magnetic resonance imaging
Sampling
9 Citations

Robust anatomical landmark detection with application to MR brain image registration

Han, D., Gao, Y., Wu, G., Yap, P. T. & Shen, D. Dec 1 2015 In : Computerized Medical Imaging and Graphics. 46, p. 277-290 14 p.

Research output: Research - peer-reviewArticle

Image registration
Brain
Detectors
Forests
2 Citations

Segmentation of infant hippocampus using common feature representations learned for multimodal longitudinal data

Guo, Y., Wu, G., Yap, P. T., Jewells, V., Lin, W. & Shen, D. 2015 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings. Springer Verlag, Vol. 9351, p. 63-71 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9351)

Research output: ResearchConference contribution

Hippocampus
Longitudinal Data
Segmentation
Brain
Modality
3 Citations

Space-frequency detail-preserving construction of neonatal brain atlases

Zhang, Y., Shi, F., Yap, P. T. & Shen, D. Jan 1 2015 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Springer Verlag, Vol. 9350, p. 255-262 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9350)

Research output: ResearchConference contribution

Atlas
Brain
Neuroimaging
Wavelet transforms
Tissue
3 Citations

Tensorial spherical polar fourier diffusion mri with optimal dictionary learning

Cheng, J., Shen, D., Yap, P. T. & Basser, P. J. Oct 1 2015 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9349, p. 174-182 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349)

Research output: ResearchChapter

Learning
Dictionary
Glossaries
Imaging
Imaging techniques
2014
4 Citations

Designing single- and multiple-shell sampling schemes for diffusion MRI using spherical code

Cheng, J., Shen, D. & Yap, P. T. 2014 Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, Vol. 8675 LNCS, p. 281-288 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3)

Research output: ResearchConference contribution

Spherical Codes
Shell
Magnetic resonance imaging
Sampling
Formulation
5 Citations
Diffusion Magnetic Resonance Imaging
Static Electricity
Connectome
Linear Programming