Research Output 1973 2019

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Conference contribution
2018

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

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 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

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 MRI super resolution using 3D deep densely connected neural networks

Chen, Y., Xie, Y., Zhou, Z., Shi, F., Christodoulou, A. G. & Li, D., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 739-742 4 p.

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

Magnetic resonance
Brain
Magnetic Resonance Spectroscopy
Learning
Neural networks

Calcium removal from cardiac ct images using deep convolutional neural network

Yan, S., Shi, F., Chen, Y., Dey, D., Lee, S. E., Chang, H. J., Li, D. & Xie, Y., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 466-469 4 p.

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

Angiography
Calcium
Neural networks
Tomography
Gold

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

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

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

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

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

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

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

Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-level densely connected network

Chen, Y., Shi, F., Christodoulou, A. G., Xie, Y., Zhou, Z. & Li, 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. 91-99 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

Magnetic Resonance Image
Super-resolution
Magnetic resonance
Image resolution
High Resolution

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
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
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
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

GRAND: Unbiased connectome atlas of brain network by groupwise graph shrinkage and network diffusion

Wu, G., Munsell, B., Laurienti, P. & Chung, M. K., Jan 1 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 127-135 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

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

Atlas
Shrinkage
Brain
Graph in graph theory
Adjacency Matrix

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

Initial clinical evaluation of gated stationary digital chest tomosynthesis

Lee, Y. Z., Gunnell, E. T., Inscoe, C. R., Puett, C., Lu, J. & Zhou, O., Jan 1 2018, Medical Imaging 2018: Physics of Medical Imaging. Schmidt, T. G., Chen, G-H. & Lo, J. Y. (eds.). SPIE, Vol. 10573. 105730I

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

chest
respiration
Carbon Nanotubes
x ray sources
Respiration

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

Low-rank representation for multi-center autism spectrum disorder identification

Wang, M., Zhang, D., Huang, J., Shen, D. & Liu, M., 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. 647-654 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

Disorder
Data Center
Learning systems
Target
Scanning

Malignant brain tumor classification using the random forest method

Zhang, L., Zhang, H., Rekik, I., Gao, Y., Wang, Q. & Shen, D., Jan 1 2018, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Hancock, E. R., Ho, T. K., Biggio, B., Wilson, R. C., Robles-Kelly, A. & Bai, X. (eds.). Springer Verlag, p. 14-21 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 LNCS).

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

Brain Tumor
Random Forest
Tumors
Brain
Patch

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

Non-Euclidean, convolutional learning on cortical brain surfaces

Mostapha, M., Kim, S., Wu, G., Zsembik, L., Pizer, S. & Styner, M., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 527-530 4 p.

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

Brain
Learning
Atlases
Neurodegenerative Diseases
Alzheimer Disease

Penalized geodesic tractography for mitigating gyral bias

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. 12-19 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

Geodesic
Global optimization
Streamlines
Fiber reinforced materials
Spatial distribution

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

Revealing regional associations of cortical folding alterations with in utero ventricular dilation using joint spectral embedding

Benkarim, O. M., Sanroma, G., Piella, G., Rekik, I., Hahner, N., Eixarch, E., González Ballester, M. A., Shen, D. & Li, G., 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. 620-627 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

Cortex
Folding
Dilation
Graph Laplacian
Laplacian Matrix

Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks

Feng, Z., Nie, D., Wang, L. & Shen, D., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 885-888 4 p.

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

Supervised learning
Magnetic resonance
Image segmentation
Magnetic Resonance Spectroscopy
Image-Guided Radiotherapy

Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis

Pan, Y., Liu, M., Lian, C., Zhou, T., Xia, Y. & 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. 455-463 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

Alzheimer's Disease
Magnetic resonance imaging
Cycle
Modality
Model Diagnostics

Temporal correlation structure learning for MCI conversion prediction

Wang, X., Cai, W., Shen, D. & Huang, H., 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. 446-454 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

Structure Learning
Temporal Correlation
Correlation Structure
Progression
Prediction

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

Voxel deconvolutional networks for 3D brain image labeling

Chen, Y., Shi, M., Gao, H., Shen, D., Cai, L. & 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. 1226-1234 9 p.

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

Labeling
Brain
Pixels
Sampling
Experiments
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
9 Citations

A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases

Zhu, Y., Zhu, X., Kim, M., Kaufer, D. & Wu, G., Jan 1 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, p. 158-169 12 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

Hypergraph
Neuroimaging
Labels
Medical imaging
Cognition
1 Citations

A novel framework for groupwise registration of fMRI images based on common functional networks

Zhao, Y., Zhang, S., Chen, H., Zhang, W., Lv, J., Jiang, X., Shen, D. & Liu, T., Jun 15 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 485-489 5 p. 7950566

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

Magnetic Resonance Imaging
Image registration
Spatial Analysis
Independent component analysis
Entropy

A point says a lot: An interactive segmentation method for MR prostate via one-point labeling

Sun, J., Shi, Y., Gao, 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. 220-228 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

Labeling
Segmentation
Patch
Voxel
Prediction

A tensor statistical model for quantifying dynamic functional connectivity

Zhu, Y., Zhu, X., Kim, M., Yan, J. & Wu, G., 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. 398-410 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

Statistical Model
Tensors
Connectivity
Tensor
Sliding Window
1 Citations

Brain image labeling using multi-atlas guided 3D fully convolutional networks

Fang, L., Zhang, L., Nie, D., Cao, X., Bahrami, K., He, H. & 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. 12-19 8 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

Atlas
Labeling
Brain
Guidance
Neuroimaging