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2018

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

Liu, M., Zhang, J., Nie, D., Yap, P. T. & Shen, D., Sep 1 2018, In : IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1476-1485 10 p., 8253440

Research output: Contribution to journalArticle

Brain Diseases
Magnetic resonance
Brain
Magnetic Resonance Spectroscopy
Alzheimer Disease

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

for the Alzheimer's Disease Neuroimaging Initiative, Apr 1 2018, In : Medical Image Analysis. 45, p. 68-82 15 p.

Research output: Contribution to journalArticle

Constraint theory
Neuroimaging
Linear regression
Feature extraction
Survival Analysis

Functional MRI registration with tissue-specific patch-based functional correlation tensors

Zhou, Y., Zhang, H., Zhang, L., Cao, X., Yang, R., Feng, Q., Yap, P. T. & Shen, D., Jun 1 2018, In : Human Brain Mapping. 39, 6, p. 2303-2316 14 p.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Brain
Population
Gray Matter
White Matter
1 Citations

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images

Zhang, Y., Shi, F., Cheng, J., Wang, L., Yap, P. T. & Shen, D., Jan 8 2018, (Accepted/In press) In : IEEE Transactions on Cybernetics.

Research output: Contribution to journalArticle

Nonlinear filtering
Pediatrics
Optical resolving power
Magnetism
Magnetic resonance

Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery

Tang, Z., Ahmad, S., Yap, P. T. & Shen, D. Apr 6 2018 (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticle

Atlases
Brain Neoplasms
Tumors
Brain
Recovery

Multi-Hypergraph Learning for Incomplete Multimodality Data

Liu, M., Gao, Y., Yap, P. T. & Shen, D. Jul 1 2018 In : IEEE Journal of Biomedical and Health Informatics. 22, 4, p. 1197-1208 12 p.

Research output: Contribution to journalArticle

Learning
Neuroimaging
Cerebrospinal fluid
Alzheimer Disease
Positron emission tomography
1 Citations

Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes

Cheng, J., Shen, D., Yap, P. T. & Basser, P. J., Jan 1 2018, In : IEEE Transactions on Medical Imaging. 37, 1, p. 185-199 15 p., 8049360

Research output: Contribution to journalArticle

Diffusion Magnetic Resonance Imaging
Constrained optimization
Integer programming
Nonlinear programming
Iterative methods
1 Citations

The Relationship between Lesion Severity Characterized by Diffusion Tensor Imaging and Motor Function in Chronic Canine Spinal Cord Injury

Lewis, M. J., Yap, P. T., McCullough, S. & Olby, N. J. Feb 1 2018 In : Journal of Neurotrauma. 35, 3, p. 500-507 8 p.

Research output: Contribution to journalArticle

Diffusion Tensor Imaging
Anisotropy
Spinal Cord Injuries
Canidae
Magnetic Resonance Imaging
2 Citations

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

Howell, B. R., Styner, M. A., Gao, W., Yap, P. T., Wang, L., Baluyot, K., Yacoub, E., Chen, G., Potts, T., Salzwedel, A., Li, G., Gilmore, J. H., Piven, J., Smith, J. K., Shen, D., Ugurbil, K., Zhu, H., Lin, W. & Elison, J. T., Jan 1 2018, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Connectome
Brain
Neuroimaging
Research Personnel
Magnetic Resonance Imaging
2017

Denoising diffusion-weighted images using grouped iterative hard thresholding of multi-channel framelets

Zhang, J., Chen, G., Zhang, Y., Dong, B., Shen, D. & Yap, P. T., Jan 1 2017, Computational Diffusion MRI - MICCAI Workshop. Fuster, A., Rathi, Y., Reisert, M., Kaden, E. & Ghosh, A. (eds.). Springer Heidelberg, p. 49-59 11 p. (Mathematics and Visualization; vol. Part F2)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic Resonance Imaging
Reliability Analysis
Thresholding
Reliability analysis
Denoising
2 Citations

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: Contribution to journalArticle

Parietal Lobe
Putamen
Brain
Prefrontal Cortex
Neuroimaging

Fusion of high-order and low-order effective connectivity networks for MCI classification

Li, Y., Liu, J., Li, K., Yap, P. T., Kim, M., Wee, C. Y. & Shen, D., Jan 1 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 307-315 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer aided instruction
Network Connectivity
Learning Systems
Decision trees
Decision tree

Graph-constrained sparse construction of longitudinal diffusion-weighted infant atlases

Kim, J., Chen, G., Lin, W., Yap, P. T. & Shen, D., Jan 1 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 49-56 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical computing
Atlas
Graph theory
Medical Imaging
Medical imaging
3 Citations

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: Contribution to journalArticle

Lighting
methodology
lighting
sampling

Improving functional MRI registration using whole-brain functional correlation tensors

Zhou, Y., Yap, P. T., Zhang, H., Zhang, L., Feng, Q. & Shen, D., Jan 1 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 416-423 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical computing
Brain mapping
Magnetic Resonance Imaging
Medical Imaging
Medical imaging
2 Citations

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: Contribution to journalArticle

Atlases
Joints
Brain
Brain Diseases
Learning

Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment

Zhang, L., Zhang, H., Chen, X., Wang, Q., Yap, P. T. & Shen, D., Jan 1 2017, Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Zhan, Y., Bai, W., Wu, G., Coupe, P., Munsell, B. C. & Sanroma, G. (eds.). Springer Verlag, p. 65-73 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10530 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical Imaging
Medical imaging
Regression Analysis
Regression analysis
Tensors
3 Citations

Learning-based structurally-guided construction of resting-state functional correlation tensors

Zhang, L., Zhang, H., Chen, X., Wang, Q., Yap, P. T. & Shen, D., Nov 1 2017, In : Magnetic Resonance Imaging. 43, p. 110-121 12 p.

Research output: Contribution to journalArticle

Multimodal hyper-connectivity networks for MCI classification

Li, Y., Gao, X., Jie, B., Yap, P. T., Kim, M. J., Wee, C. Y. & Shen, D., Jan 1 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 433-441 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical computing
Network Connectivity
Magnetic Resonance Imaging
Medical Imaging
Medical imaging
1 Citations

Multi-stage diagnosis of Alzheimer’s disease with incomplete multimodal data via multi-task deep learning

Thung, K. H., Yap, P. T. & Shen, D., Jan 1 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Arbel, T. & Cardoso, M. J. (eds.). Springer Verlag, p. 160-168 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-task Learning
Neurodegenerative diseases
Computer aided analysis
Alzheimer's Disease
MIMO Systems
1 Citations

Neighborhood matching for curved domains with application to denoising in diffusion MRI

Chen, G., Dong, B., Zhang, Y., Shen, D. & Yap, P. T., Jan 1 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 629-637 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical computing
Magnetic Resonance Imaging
Medical Imaging
Medical imaging
Denoising

Novel effective connectivity network inference for MCI identification

Li, Y., Yang, H., Li, K., Yap, P. T., Kim, M., Wee, C. Y. & Shen, D., Jan 1 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, p. 316-324 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer aided instruction
Network Connectivity
Bayesian networks
Learning Systems
Bayesian Networks

q-space upsampling using x-q space regularization

Chen, G., Dong, B., Zhang, Y., Shen, D. & Yap, P. T., Jan 1 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 620-628 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical computing
Signal sampling
Radial basis function networks
Radial Basis Function Network
Medical Imaging
1 Citations

Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion

Yang, Z., Chen, G., Shen, D. & Yap, P. T., Jan 1 2017, Computational Diffusion MRI - MICCAI Workshop. Fuster, A., Rathi, Y., Reisert, M., Kaden, E. & Ghosh, A. (eds.). Springer Heidelberg, p. 113-121 9 p. (Mathematics and Visualization; vol. Part F2)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Atlas
Magnetic Resonance Imaging
Magnetic resonance imaging
Distribution functions
Distribution Function
1 Citations

Robust Fusion of Diffusion MRI Data for Template Construction

Yang, Z., Chen, G., Shen, D. & Yap, P. T. Dec 1 2017 In : Scientific Reports. 7, 1, 12950

Research output: Contribution to journalArticle

2 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: Contribution to journalArticle

Diffusion Magnetic Resonance Imaging
Atlases
Brain
Anisotropy
Human Development

Structural connectivity guided sparse effective connectivity for MCI identification

Li, Y., Liu, J., Luo, M., Li, K., Yap, P. T., Kim, M., Wee, C. Y. & Shen, D., Jan 1 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 299-306 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diffusion tensor imaging
Neuroimaging
Computer aided instruction
Magnetic Resonance Imaging
Medical Imaging
19 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: Contribution to journalArticle

Alzheimer Disease
Learning
Magnetic resonance imaging
Labels
Fusion reactions
2016

Accelerating global tractography using parallel Markov chain Monte Carlo

Wu, H., Chen, G., Yang, Z., Shen, D. & Yap, P. T., Jan 1 2016, Computational Diffusion MRI - MICCAI Workshop, 2015. Rathi, Y., Fuster, A., Ghosh, A., Kaden, E. & Reisert, M. (eds.). Springer Heidelberg, p. 121-130 10 p. (Mathematics and Visualization; vol. none)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Markov Chain Monte Carlo
Markov processes
Fiber
Fibers
Markov Chain Monte Carlo Algorithms

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: Contribution to journalArticle

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., Jan 1 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Unal, G., Sabuncu, M. R., Wells, W., Ourselin, S. & Joskowicz, L. (eds.). Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Hybrid Learning
Fiber
Fibers
Prediction
Face
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. Rathi, Y., Fuster, A., Ghosh, A., Kaden, E. & Reisert, M. (eds.). Springer Heidelberg, p. 145-157 13 p. (Mathematics and Visualization; vol. none)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Resolution Enhancement
Information Transfer
Magnetic resonance imaging
Distribution functions
Distribution Function
6 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: Contribution to journalArticle

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., Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Atlas
Image fusion
Imaging techniques
Image registration
Tensors
7 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: Contribution to journalArticle

Magnetic resonance
Artifacts
Noise
Magnetic Resonance Spectroscopy
Workflow
6 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: Contribution to journalArticle

Atlases
Brain
Wavelet Analysis
Neuroimaging
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., Jan 1 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Unal, G., Sabuncu, M. R., Wells, W., Ourselin, S. & Joskowicz, L. (eds.). Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Multimodality
Alzheimer's Disease
Hypergraph
Modality
Magnetic resonance imaging
11 Citations

Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting-State Functional Connectivity Networks

Wee, C. Y., Yap, P. T. & Shen, D., Mar 1 2016, In : CNS Neuroscience and Therapeutics. 22, 3, p. 212-219 8 p.

Research output: Contribution to journalArticle

Brain
Autistic Disorder
Magnetic Resonance Imaging
Cluster Analysis
Autism Spectrum Disorder
1 Citations

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

Zhang, P., Wu, G., Gao, Y., Yap, P. T. & Shen, D., Jan 1 2016, Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015 and Held in Conjunction with MICCAI 2015, Revised Selected Papers. Kelm, M., Müller, H., Menze, B., Zhang, S., Metaxas, D., Langs, G., Montillo, A. & Cai, W. (eds.). Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Atlas
Image registration
Image Registration
Large Deformation
Segmentation
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: Contribution to journalArticle

shrinkage
Information Dissemination
Brain
Topology
harness
2 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: Contribution to journalArticle

Fibers
Markov Chains
Noise
Markov processes
Observation
5 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: Contribution to journalArticle

Magnetic Resonance Imaging
Alzheimer Disease
History
Learning
Cognitive Dysfunction
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: Contribution to journalArticle

Fiber reinforced materials
Magnetic resonance imaging
Distribution functions
Brain
Affine transforms

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

Alzheimer's Disease Neuroimaging Initiative, Dec 1 2016, In : Medical physics. 43, 12, p. 6588-6597 10 p.

Research output: Contribution to journalArticle

Learning
Magnetic Resonance Spectroscopy
Brain
Cerebrospinal Fluid
Neuroimaging

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. Wang, L., Suk, H-I., Shi, Y., Adeli, E. & Wang, Q. (eds.). Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Magnetic Resonance Image
Magnetic resonance imaging
Labeling
Guidance
14 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: Contribution to journalArticle

Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Alzheimer Disease
Parietal Lobe
Brain Diseases
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: Contribution to journalArticle

Magnetic Resonance Imaging
Autism Spectrum Disorder
Gray Matter
White Matter
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: Contribution to journalArticle

Magnetic resonance imaging
Tissue
Decomposition
Magnetic resonance
Imaging techniques
27 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: Contribution to journalArticle

Magnetic Resonance Imaging
Learning
Pathology
Brain