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2018

3D auto-context-based locality adaptive multi-modality GANs for PET synthesis

Wang, Y., Zhou, L., Yu, B., Wang, L., Zu, C., Lalush, D. S., Lin, W., Wu, X., Zhou, J. & Shen, D., Jan 1 2018, (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticle

Positron emission tomography
Image fusion
Health risks
Positrons
Positron-Emission Tomography
2 Citations

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

Wang, Y., Yu, B., Wang, L., Zu, C., Lalush, D. S., Lin, W., Wu, X., Zhou, J., Shen, D. & Zhou, L., Jul 1 2018, In : NeuroImage. 174, p. 550-562 13 p.

Research output: Contribution to journalArticle

Positron-Emission Tomography
Biochemical Phenomena
Radioactive Tracers
Physiological Phenomena
Benchmarking
4 Citations

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

Nie, D., Wang, L., Adeli, E., Lao, C., Lin, W. & Shen, D., Feb 8 2018, (Accepted/In press) In : IEEE Transactions on Cybernetics.

Research output: Contribution to journalArticle

Image segmentation
Brain
Tissue
Magnetic resonance
Network architecture

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants

Xia, J., Zhang, C., Wang, F., Meng, Y., Wu, Z., Wang, L., Lin, W., Shen, D. & Li, G., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 683-686 4 p.

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

Computational methods
Growth
Direction compound

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants

Xia, J., Wang, F., Meng, Y., Wu, Z., Wang, L., Lin, W., Zhang, C., Shen, D. & Li, G., Oct 1 2018, In : Medical Image Analysis. 49, p. 46-59 14 p.

Research output: Contribution to journalArticle

Computational methods
Term Birth
Least-Squares Analysis
Tensors
Brain

Adversarial similarity network for evaluating image alignment in deep learning based registration

Fan, J., Cao, X., Xue, Z., Yap, P. T. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 739-746 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

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

Registration
Alignment
Image registration
Magnetic resonance imaging
Brain

A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment

Duan, W., Zheng, Y., Ding, Y., Hou, S., Tang, Y., Xu, Y., Qin, M., Wu, J., Shen, D. & Bi, H., Apr 16 2018, In : IEEE Access. 6, p. 25130-25141 12 p.

Research output: Contribution to journalArticle

Thickness gages
Ophthalmology
Thickness measurement
Optical tomography
Electronic mail

A multi-tissue global estimation framework for asymmetric fiber orientation distributions

Wu, Y., Feng, Y., Shen, D. & Yap, P. T., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 45-52 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

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

Fiber Orientation
Streamlines
Fiber reinforced materials
Blade
Fiber
2 Citations

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

Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism

Wang, L., Li, G., Adeli, E., Liu, M., Wu, Z., Meng, Y., Lin, W. & Shen, D., Jun 1 2018, In : Human Brain Mapping. 39, 6, p. 2609-2623 15 p.

Research output: Contribution to journalArticle

Autistic Disorder
Anatomy
Joints
Brain
Biomarkers
Brain mapping
Graphic methods
Graph theory
Image registration
Image analysis

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

Chen, G., Dong, B., Zhang, Y., Lin, W., Shen, D. & Yap, P. T., Sep 7 2018, In : Frontiers in Neuroinformatics. 12, 57.

Research output: Contribution to journalArticle

Diffusion Magnetic Resonance Imaging
Magnetic resonance imaging
Inverse problems
Interpolation
Water

A novel deep learning framework on brain functional networks for early MCI diagnosis

Kam, T. E., Zhang, H. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 293-301 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

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

Brain
Alzheimer's Disease
Functional Magnetic Resonance Imaging
Neural Networks
Neural networks

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation

Nie, D., Gao, Y., Wang, L. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Fichtinger, G., Schnabel, J. A., Alberola-López, C. & Davatzikos, C. (eds.). Springer Verlag, p. 370-378 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11073 LNCS).

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

Medical Image
Image segmentation
Image Segmentation
Labels
Network components

Automatic accurate infant cerebellar tissue segmentation with densely connected convolutional network

Chen, J., Zhang, H., Nie, D., Wang, L., Li, G., Lin, W. & Shen, D., Jan 1 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Liu, M., Suk, H-I. & Shi, Y. (eds.). Springer Verlag, p. 233-240 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

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

Cerebellum
Brain
Segmentation
Tissue
Network architecture
1 Citations

Brain-wide Genome-wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model

Zhou, T., Thung, K. H., Liu, M. & Shen, D., Apr 6 2018, (Accepted/In press) In : IEEE Transactions on Biomedical Engineering.

Research output: Contribution to journalArticle

Brain
Genes
Imaging techniques
Labels
Neuroimaging

Cognitive Assessment Prediction in Alzheimer’s Disease by Multi-Layer Multi-Target Regression

Wang, X., Zhen, X., Li, Q., Shen, D. & Huang, H., May 25 2018, (Accepted/In press) In : Neuroinformatics. p. 1-10 10 p.

Research output: Contribution to journalArticle

Biomarkers
Alzheimer Disease
Learning
Neuroimaging
Glossaries
1 Citations

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque

Wang, F., Lian, C., Xia, J., Wu, Z., Duan, D., Wang, L., Shen, D. & Li, G., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 704-707 4 p.

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

Atlases
Macaca mulatta
Brain
Macaca
Human Development
1 Citations

Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset

Wu, Z., Li, G., Wang, L., Lin, W., Gilmore, J. H. & Shen, D., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1056-1059 4 p.

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

Atlases
Neuroimaging
Glossaries
Datasets
Population

Contour knowledge transfer for salient object detection

Li, X., Yang, F., Cheng, H., Liu, W. & Shen, D., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Weiss, Y., Ferrari, V., Sminchisescu, C. & Hebert, M. (eds.). Springer Verlag, p. 370-385 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11219 LNCS).

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

Knowledge Transfer
Saliency
Object Detection
Masks
Branch
2 Citations

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

Neuroimaging
Linear regression
Feature extraction
Survival Analysis
Longitudinal Studies

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning

Zhao, M., Wang, L., Chen, J., Nie, D., Cong, Y., Ahmad, S., Ho, A., Yuan, P., Fung, S. H., Deng, H. H., Xia, J. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Fichtinger, G., Schnabel, J. A., Alberola-López, C. & Davatzikos, C. (eds.). Springer Verlag, p. 720-727 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11073 LNCS).

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

Magnetic Resonance Imaging
Computed Tomography
Tomography
Segmentation
Discriminators
2 Citations

Data-driven graph construction and graph learning: A review

Qiao, L., Zhang, L., Chen, S. & Shen, D., Jan 1 2018, (Accepted/In press) In : Neurocomputing.

Research output: Contribution to journalArticle

Learning
Learning algorithms
Graph theory
Supervised learning
Learning systems

Deep adversarial learning for multi-modality missing data completion

Cai, L., Wang, Z., Gao, H., Shen, D. & Ji, S., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1158-1166 9 p.

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

Positron emission tomography
Image quality
Neuroimaging
Magnetic resonance
Tumors

Deep chronnectome learning via full bidirectional long short-term memory networks for MCI diagnosis

Yan, W., Zhang, H., Sui, J. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 249-257 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

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

Memory Term
Brain
Connectivity
Diagnostics
Spatial Clustering
5 Citations

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image

Xiang, L., Wang, Q., Nie, D., Zhang, L., Jin, X., Qiao, Y. & Shen, D., Jul 1 2018, In : Medical Image Analysis. 47, p. 31-44 14 p.

Research output: Contribution to journalArticle

Magnetic resonance
Tomography
Magnetic Resonance Spectroscopy
Neural networks
Neuroimaging

Deep learning based inter-modality image registration supervised by intra-modality similarity

Cao, X., Yang, J., Wang, L., Xue, Z., Wang, Q. & Shen, D., Jan 1 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Liu, M., Suk, H-I. & Shi, Y. (eds.). Springer Verlag, p. 55-63 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

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

Image registration
Image Registration
Magnetic resonance imaging
Modality
Information fusion

Deep learning for fast and spatially-constrained tissue quantification from highly-undersampled data in magnetic resonance fingerprinting (MRF)

Fang, Z., Chen, Y., Liu, M., Zhan, Y., Lin, W. & Shen, D., Jan 1 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Liu, M., Suk, H-I. & Shi, Y. (eds.). Springer Verlag, p. 398-405 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

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

Fingerprinting
Magnetic Resonance
Magnetic resonance
Quantification
Tissue
3 Citations

Deformable image registration using a cue-aware deep regression network

Cao, X., Yang, J., Zhang, J., Wang, Q., Yap, P. T. & Shen, D., Sep 1 2018, In : IEEE Transactions on Biomedical Engineering. 65, 9, p. 1900-1911 12 p., 8331111.

Research output: Contribution to journalArticle

Image registration
Tuning
Sampling
Experiments

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound

Wang, N., Bian, C., Wang, Y., Xu, M., Qin, C., Yang, X., Wang, T., Li, A., Shen, D. & Ni, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Fichtinger, G., Schnabel, J. A., Alberola-López, C. & Davatzikos, C. (eds.). Springer Verlag, p. 641-648 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11073 LNCS).

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

Ultrasound
Cancer
Ultrasonics
Breast Cancer
Entropy Loss

Developing novel weighted correlation kernels for convolutional neural networks to extract hierarchical functional connectivities from fMRI for disease diagnosis

Jie, B., Liu, M., Lian, C., Shi, F. & Shen, D., Jan 1 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Liu, M., Suk, H-I. & Shi, Y. (eds.). Springer Verlag, p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

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

Functional Magnetic Resonance Imaging
Brain
Connectivity
Neural Networks
kernel
2 Citations

Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI

Zhao, F., Zhang, H., Rekik, I., An, Z. & Shen, D., May 14 2018, In : Frontiers in Human Neuroscience. 12, 184.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Brain
Brain Diseases
Autism Spectrum Disorder
1 Citations

Discovering cortical sulcal folding patterns in neonates using large-scale dataset

Meng, Y., Li, G., Wang, L., Lin, W., Gilmore, J. H. & Shen, D., Sep 1 2018, In : Human Brain Mapping. 39, 9, p. 3625-3635 11 p.

Research output: Contribution to journalArticle

Term Birth
Brain
Brain Diseases
Temporal Lobe
Cerebral Cortex

Do baby brain cortices that look alike at birth grow alike during the first year of postnatal development?

Rekik, I., Li, G., Lin, W. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 566-574 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

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

Alike
Cortex
Brain
Trajectories
Trajectory

Dual-domain cascaded regression for synthesizing 7T from 3T MRI

Zhang, Y., Cheng, J. Z., Xiang, L., Yap, P. T. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 410-417 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

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

Magnetic Resonance Imaging
Magnetic resonance
Regression
Imaging techniques
Costs

Early diagnosis of autism disease by multi-channel CNNs

Li, G., Liu, M., Sun, Q., Shen, D. & Wang, L., Jan 1 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Liu, M., Suk, H-I. & Shi, Y. (eds.). Springer Verlag, p. 303-309 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

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

Biomarkers
Disorder
Imaging techniques
Magnetic resonance
Brain

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis

Zhou, T., Thung, K. H., Zhu, X. & Shen, D., Jan 1 2018, (Accepted/In press) In : Human Brain Mapping.

Research output: Contribution to journalArticle

Dementia
Alzheimer Disease
Learning
Neuroimaging
Single Nucleotide Polymorphism

Efficient groupwise registration of MR brain images via Hierarchical graph set Shrinkage

Dong, P., Cao, X., Yap, P. T. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 819-826 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

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

Shrinkage
Registration
Brain
Graph in graph theory
Costs

Enhancing the representation of functional connectivity networks by fusing multi-view information for autism spectrum disorder diagnosis

Huang, H., Liu, X., Jin, Y., Lee, S. W., Wee, C. Y. & Shen, D., Jan 1 2018, (Accepted/In press) In : Human Brain Mapping.

Research output: Contribution to journalArticle

Brain
Brain Diseases
Cluster Analysis
Biomarkers
Learning
2 Citations

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants

Rekik, I., Li, G., Lin, W. & Shen, D., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 985-989 5 p.

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

Connectome
Brain mapping
Brain Mapping
Atlases
Brain

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection

Liu, L., Wang, Q., Adeli, E., Zhang, L., Zhang, H. & Shen, D., Jul 1 2018, In : Computerized Medical Imaging and Graphics. 67, p. 21-29 9 p.

Research output: Contribution to journalArticle

Biomarkers
Parkinson Disease
Feature extraction
Imaging techniques
Brain
1 Citations

Fetal cortical parcellation based on growth patterns

Xia, J., Zhang, C., Wang, F., Benkarim, O. M., Sanroma, G., Piella, G., Balleste, M. A. G., Hahner, N., Eixarch, E., Shen, D. & Li, G., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 696-699 4 p.

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

Growth
Fetus
Microstructure
Brain
Trajectories

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks

Zhou, S., Nie, D., Adeli, E., Gao, Y., Wang, L., Yin, J. & Shen, D., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Fichtinger, G., Schnabel, J. A., Alberola-López, C. & Davatzikos, C. (eds.). Springer Verlag, p. 488-496 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11073 LNCS).

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

Hierarchical Networks
Image segmentation
Segmentation
Semantics
Neural Networks
Brain mapping
Neuroimaging
Brain Mapping
Decision Trees
Decision trees

Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications

Kamiya, N., Li, J., Kume, M., Fujita, H., Shen, D. & Zheng, G., Nov 1 2018, In : International Journal of Computer Assisted Radiology and Surgery. 13, 11, p. 1697-1706 10 p.

Research output: Contribution to journalArticle

Paraspinal Muscles
Torso
Muscle
Learning

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

Genetic influences on neonatal cortical thickness and surface area

Jha, S. C., Xia, K., Schmitt, J. E., Ahn, M., Girault, J. B., Murphy, V. A., Li, G., Wang, L., Shen, D., Zou, F., Zhu, H., Styner, M. A., Santelli, R. C. & Gilmore, J. H., Dec 1 2018, In : Human Brain Mapping. 39, 12, p. 4998-5013 16 p.

Research output: Contribution to journalArticle

Outcome Assessment (Health Care)
Newborn Infant
1 Citations

Genotype-phenotype association study via new multi-task learning model

Huo, Z., Shen, D. & Huang, H., Jan 1 2018, PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018. 212669 ed. World Scientific Publishing Co. Pte Ltd, p. 353-364 12 p.

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

Nucleotides
Polymorphism
Imaging techniques
Regression analysis
Brain

Group sparse reduced rank regression for neuroimaging genetic study

Zhu, X., Suk, H. I. & Shen, D., Jan 1 2018, (Accepted/In press) In : World Wide Web.

Research output: Contribution to journalArticle

Neuroimaging
Feature extraction
Brain
Imaging techniques

Guest editorial special issue on deep learning in medical imaging

Shen, D. & Wang, L., Sep 1 2018, In : IEEE Transactions on Biomedical Engineering. 65, 9, p. 1898-1899 2 p., 8440620.

Research output: Contribution to journalEditorial

Medical imaging
Deep learning