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2018
1 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

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

Brain mapping
Medical imaging
Network architecture
Convolution
Image segmentation

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

A review on neuroimaging studies of genetic and environmental influences on early brain development

Gao, W., Grewen, K., Knickmeyer, R. C., Qiu, A., Salzwedel, A., Lin, W. & Gilmore, J. H., Jan 1 2018, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Neuroimaging
Brain
Gene-Environment Interaction
Genome-Wide Association Study
Environmental Exposure

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

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
1 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

Infant brain development prediction with latent partial multi-view representation learning

Zhang, C., Adelv, E., Wu, Z., 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. 1048-1051 4 p.

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

Child Development
Brain
Learning
Cerebral Cortex
Aptitude
1 Citations

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images

Lian, C., Zhang, J., Liu, M., Zong, X., Hung, S. C., Lin, W. & Shen, D., May 1 2018, In : Medical Image Analysis. 46, p. 106-117 12 p.

Research output: Contribution to journalArticle

Image Enhancement
Image enhancement
Magnetic resonance
Convolution
Magnetic resonance imaging

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data

Adeli, E., Meng, Y., Li, G., Lin, W. & Shen, D., Jan 1 2018, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Neuroimaging
Brain
Child Development
Longitudinal Studies
Research

Oxygen metabolism in acute ischemic stroke

Lin, W. & Powers, W. J., Sep 1 2018, In : Journal of Cerebral Blood Flow and Metabolism. 38, 9, p. 1481-1499 19 p.

Research output: Contribution to journalReview article

Stroke
Oxygen
Brain Ischemia
Positron-Emission Tomography
Brain

Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts

Zhang, H., Shen, D. & Lin, W., Jan 1 2018, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Connectome
Brain
Functional Neuroimaging
Neurosciences
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
2 Citations

4D infant cortical surface atlas construction using spherical patch-based sparse representation

Wu, Z., Li, G., Meng, Y., Wang, L., Lin, W. & 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. 57-65 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
Neuroimaging
Sparse Representation
Atlas
Medical Imaging
9 Citations
Renal Cell Carcinoma
Vascular Endothelial Growth Factor A
Neoplasms
Angiogenesis Inhibitors
Neoplasm Metastasis
6 Citations

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

Xiang, L., Qiao, Y., Nie, D., An, L., Lin, W., Wang, Q. & Shen, D., Dec 6 2017, In : Neurocomputing. 267, p. 406-416 11 p.

Research output: Contribution to journalArticle

1 Citations

Early brain functional segregation and integration predict later cognitive performance

Zhang, H., Yin, W., Lin, W. & Shen, D., Jan 1 2017, Connectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, p. 116-124 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10511 LNCS)

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

Three dimensional computer graphics
Neuroimaging
Cognitive systems
Cognitive Systems
Functional Magnetic Resonance Imaging
2 Citations

Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering

Hou, Y., Park, S. H., Wang, Q., Zhang, J., Zong, X., Lin, W. & Shen, D., Dec 1 2017, In : Scientific Reports. 7, 1, 8569

Research output: Contribution to journalArticle

Topography
Image analysis
Emotions
Learning

Estimation of brain network atlases using diffusive-shrinking graphs: Application to developing brains

Rekik, I., Li, G., Lin, W. & Shen, D., Jan 1 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 385-397 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS)

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

Brain mapping
Atlas
Graph theory
Shrinking
Principal component analysis
25 Citations

Functional connectivity of the infant human brain: Plastic and modifiable

Gao, W., Lin, W., Grewen, K. & Gilmore, J. H., Jan 1 2017, In : Neuroscientist. 23, 2, p. 169-184 16 p.

Research output: Contribution to journalReview article

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
1 Citations

Hybrid PET/MR: State-of-the-Art and Future Challenges

Lin, W., Hung, S. C., Lee, Y. Z. & Wong, T. Z., May 1 2017, In : Magnetic resonance imaging clinics of North America. 25, 2, p. xv-xvii

Research output: Contribution to journalEditorial

3 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
1 Citations

Joint sparse and low-rank regularized multi-task multi-linear regression for prediction of infant brain development with incomplete data

Adeli, E., Meng, Y., Li, G., Lin, W. & 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. 40-48 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
Incomplete Data
Medical Imaging
Medical imaging
Information retrieval

LATEST: Local AdapTivE and Sequential Training for tissue segmentation of isointense infant brain MR images

Wang, L., Gao, Y., Li, G., Shi, F., Lin, W. & Shen, D., Jan 1 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Revised Selected Papers. Arbel, T., Langs, G., Jenkinson, M., Menze, B., Wells III, W. M., Chung, A. C. S., Kelm, B. M., Cai, W., Montillo, A., Metaxas, D., Cardoso, M. J., Zhang, S., Ribbens, A. & Muller, H. (eds.). Springer Verlag, p. 26-34 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10081 LNCS)

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

Graphic methods
Magnetic Resonance Imaging
Medical Imaging
Medical imaging
Decision trees

Longitudinally-consistent parcellation of infant population cortical surfaces based on functional connectivity

Yan, J., Meng, Y., Li, G., Lin, W., Zhao, D. & 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. 194-202 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

Graphic methods
Computer aided instruction
Magnetic Resonance Imaging
Medical Imaging
Matrix Algebra
1 Citations

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets

Duan, D., Rekik, I., Xia, S., Lin, W., Gilmore, J. H., Shen, D. & Li, G., Jun 15 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 93-96 4 p. 7950476

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

Medical imaging
Diagnostic Imaging
Convolution
Magnetic resonance imaging
Magnetic Resonance Imaging
2 Citations

Scalable joint segmentation and registration framework for infant brain images

Dong, P., Wang, L., Lin, W., Shen, D. & Wu, G., Mar 15 2017, In : Neurocomputing. 229, p. 54-62 9 p.

Research output: Contribution to journalArticle

Brain mapping
Brain Mapping
Image fusion
Magnetic resonance imaging
Brain
3 Citations

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features

Zhang, J., Gao, Y., Park, S. H., Zong, X., Lin, W. & Shen, D., Dec 1 2017, In : IEEE Transactions on Biomedical Engineering. 64, 12, p. 2803-2812 10 p., 7865910

Research output: Contribution to journalArticle

Magnetic resonance
Entropy
Sampling
Labels
Brain
2016
2 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
8 Citations

Alternate metabolic programs define regional variation of relevant biological features in renal cell carcinoma progression

Brooks, S. A., Khandani, A. H., Fielding, J. R., Lin, W., Sills, T., Lee, Y., Arreola, A., Milowsky, M. I., Wallen, E. M., Woods, M. E., Smith, A. B., Nielsen, M. E., Parker, J. S., Lalush, D. S. & Rathmell, W. K., Jun 15 2016, In : Clinical Cancer Research. 22, 12, p. 2950-2959 10 p.

Research output: Contribution to journalArticle

Renal Cell Carcinoma
Neoplasms
Glucose
Pentose Phosphate Pathway
Genetic Heterogeneity
3 Citations

Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Chen, Y., Dhar, R., Heitsch, L., Ford, A., Fernandez-Cadenas, I., Carrera, C., Montaner, J., Lin, W., Shen, D., An, H. & Lee, J. M., Jan 1 2016, In : NeuroImage: Clinical. 12, p. 673-680 8 p.

Research output: Contribution to journalArticle

Fluid Shifts
Brain Edema
Infarction
Cerebrospinal Fluid
Head

Biomechanical Analysis of Normal Brain Development during the First Year of Life Using Finite Strain Theory

Kim, J. C., Wang, L., Shen, D. & Lin, W., Dec 2 2016, In : Scientific Reports. 6, 37666

Research output: Contribution to journalArticle

Brain
Temporal Lobe
Growth
Occipital Lobe
Lateral Ventricles
14 Citations

Cortical thickness and surface area in neonates at high risk for schizophrenia

Li, G., Wang, L., Shi, F., Lyall, A. E., Ahn, M., Peng, Z., Zhu, H., Lin, W., Gilmore, J. H. & Shen, D., Jan 1 2016, In : Brain Structure and Function. 221, 1, p. 447-461 15 p.

Research output: Contribution to journalArticle

Occipital Lobe
Schizophrenia
Gyrus Cinguli
Auditory Cortex
Temporal Lobe
4 Citations

Discovering cortical folding patterns in neonatal cortical surfaces using large-scale dataset

Meng, Y., Li, G., Wang, L., Lin, W., Gilmore, J. H. & 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. 10-18 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

Folding
Brain
Neuroimaging
Fusion reactions
Large Data Sets
1 Citations
Cerebrovascular Circulation
HIV
Magnetic Resonance Imaging
Oxygen
Echo-Planar Imaging
3 Citations

Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies

Meng, Y., Li, G., Gao, Y., Lin, W. & Shen, D., Nov 1 2016, In : Human Brain Mapping. 37, 11, p. 4129-4147 19 p.

Research output: Contribution to journalArticle

Longitudinal Studies
Learning
Brain
Child Development
Neuroimaging
4 Citations

Longitudinal study of the emerging functional connectivity asymmetry of primary language regions during infancy

Emerson, R. W., Gao, W. & Lin, W., Oct 19 2016, In : Journal of Neuroscience. 36, 42, p. 10883-10892 10 p.

Research output: Contribution to journalArticle

Prefrontal Cortex
Longitudinal Studies
Temporal Lobe
Language
Parietal Lobe
7 Citations

Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces

Rekik, I., Li, G., Lin, W. & Shen, D., Jul 15 2016, In : NeuroImage. 135, p. 152-162 11 p.

Research output: Contribution to journalArticle

Normal Distribution
Cerebral Cortex
Direction compound
9 Citations
Topography
Learning
Atlases
Neuroimaging
Trajectories
11 Citations

Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation

Wang, Y., Zhang, P., An, L., Ma, G., Kang, J., Shi, F., Wu, X., Zhou, J., Lalush, D. S., Lin, W. & Shen, D., Jan 6 2016, In : Physics in Medicine and Biology. 61, 2, p. 791-812 22 p.

Research output: Contribution to journalArticle

Positron-Emission Tomography
Magnetic Resonance Spectroscopy
Benchmarking
Computer-Assisted Image Processing
Human Body
2 Citations

Reperfusion beyond 6 hours reduces infarct probability in moderately ischemic brain tissue

An, H., Ford, A. L., Eldeniz, C., Chen, Y., Vo, K. D., Zhu, H., Powers, W. J., Lin, W. & Lee, J. M., Jan 1 2016, In : Stroke. 47, 1, p. 99-105 7 p.

Research output: Contribution to journalArticle

Reperfusion
Perfusion
Brain
Stroke
Ischemia
6 Citations

Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features

Park, S. H., Zong, X., Gao, Y., Lin, W. & Shen, D., Jul 1 2016, In : NeuroImage. 134, p. 223-235 13 p.

Research output: Contribution to journalArticle

Magnetic Resonance Spectroscopy
Brain
Learning
Lymphatic System
Artifacts
3 Citations

Segmentation of perivascular spaces using vascular features and structured random forest from 7T MR image

Zhang, J., Gao, Y., Park, S. H., Zong, X., Lin, W. & 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. 61-68 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

Random Forest
Entropy
Segmentation
Neurodegenerative diseases
Sampling
5 Citations

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data

for the Alzheimer's Disease Neuroimaging Initiative, Jul 1 2016, In : NeuroImage. 134, p. 550-562 13 p.

Research output: Contribution to journalArticle

Neuroimaging
Brain
Spatial Analysis
Lateral Ventricles
Brain Diseases
1 Citations

Subject-specific estimation of missing cortical thickness maps in developing infant brains

Meng, Y., Li, G., Gao, Y., Gilmore, J. H., Lin, W. & 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. Springer Verlag, Vol. 9601 LNCS, p. 83-92 10 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

Brain
Regression
Estimate
Neuroimaging
Incomplete Data
2 Citations

TOWERS: T-One with Enhanced Robustness and Speed

Eldeniz, C., Finsterbusch, J., Lin, W. & An, H., Jul 1 2016, In : Magnetic Resonance in Medicine. 76, 1, p. 118-126 9 p.

Research output: Contribution to journalArticle

Calibration
Brain Mapping
Gold
Artifacts
17 Citations

Visualization of perivascular spaces in the human brain at 7T: Sequence optimization and morphology characterization.

Zong, X., Park, S. H., Shen, D. & Lin, W., Jan 15 2016, In : NeuroImage. 125, p. 895-902 8 p.

Research output: Contribution to journalArticle

Noise
Brain
Brain Diseases
Healthy Volunteers
White Matter