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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
1 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

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

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

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

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
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
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

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

Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning

Zhang, C., Adeli, E., Wu, Z., Li, G., Lin, W. & Shen, D., Jan 1 2018, (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticle

Child Development
Brain
Learning
Aptitude
Cerebral Cortex

Locality adaptive multi-modality GANs for high-quality PET image synthesis

Wang, Y., Zhou, L., Wang, L., Yu, B., Zu, C., Lalush, D. S., Lin, W., Wu, X., Zhou, J. & 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. 329-337 9 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

Multimodality
Positrons
Topography
Locality
Synthesis
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

Magnetic resonance
Magnetic Resonance Spectroscopy
Brain
Hand
Neural networks

Multi-layer large-scale functional connectome reveals infant brain developmental patterns

Zhang, H., Stanley, N., Mucha, P. J., Yin, W., 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. 136-144 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

Multilayer
Brain
Topology
Community Detection
Heuristic Optimization

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

Registration-free infant cortical surface parcellation using deep convolutional neural networks

Wu, Z., Li, G., Wang, L., Shi, F., Lin, W., Gilmore, J. 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. 672-680 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

Registration
Neural Networks
Neural networks
Patch
Labels

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

Topological correction of infant cortical surfaces using anatomically constrained U-net

Sun, L., Zhang, D., Wang, L., Shao, W., Chen, Z., Lin, W., Shen, D. & Li, G., 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. 125-133 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

Brain
Voxel
Topology
Tissue
Surface reconstruction

Ultra-fast T2-weighted MR reconstruction using complementary T1-weighted information

Xiang, L., Chen, Y., Chang, W., Zhan, Y., Lin, W., Wang, Q. & 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. 215-223 9 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

Image quality
Magnetic Resonance Imaging
Image Quality
Speedup
K-space

Volume-based analysis of 6-month-old infant brain MRI for autism biomarker identification and early diagnosis

Wang, L., Li, G., Shi, F., Cao, X., Lian, C., Nie, D., Liu, M., Zhang, H., Li, G., Wu, Z., 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. 411-419 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

Biomarkers
Magnetic resonance imaging
Disorder
Brain
Tissue
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

Sparse Representation
Atlas
Patch
Registration
Glossaries
11 Citations
Renal Cell Carcinoma
Vascular Endothelial Growth Factor A
Neoplasms
Angiogenesis Inhibitors
Neoplasm Metastasis
7 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

Positron emission tomography
Magnetic resonance
Positron-Emission Tomography
Magnetic Resonance Imaging
Neural networks
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

Segregation
Brain
Predict
Connectivity
Monitoring
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

augmentation
magnetic resonance
brain
background noise
coefficients
1 Citations

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

Atlas
Shrinking
Brain
Tensors
Graph in graph theory
27 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

Plastics
Brain
Hope
Magnetic Resonance Imaging
Human Development
1 Citations

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

Atlas
Brain
Graph in graph theory
Sparse Representation
Patch
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

Incomplete Data
Linear regression
Brain
Prediction
Imaging

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

Brain
Classifiers
Segmentation
Classifier
Tissue

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

Connectivity
Brain
Cortex
Magnetic resonance imaging
Spectral Clustering
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

Cognition
Brain
Power (Psychology)
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
Image registration
Joints
Image segmentation
Atlases
4 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. Z., Arreola, A., Milowsky, M. I., Wallen, E. M., Woods, M. E., Smith, A. B., Nielsen, M. E., Parker, J., 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
4 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
15 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