Research Output 1977 2017

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Conference contribution
2016
2 Citations

3D deep learning for multi-modal imaging-guided survival time prediction of brain tumor patients

Nie, D., Zhang, H., Adeli, E., Liu, L. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 212-220 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Brain Tumor
Magnetic Resonance Image
Functional Magnetic Resonance Imaging
Survival Time
Imaging

7T-guided learning framework for improving the segmentation of 3T MR images

Bahrami, K., Rekik, I., Shi, F., Gao, Y. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 572-580 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Segmentation
Framework
Learning
Magnetic resonance imaging
Scanner

Accelerating global tractography using parallel Markov chain Monte Carlo

Wu, H., Chen, G., Yang, Z., Shen, D. & Yap, P. T. 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, Vol. none, p. 121-130 10 p. (Mathematics and Visualization; vol. none)

Research output: ResearchConference contribution

Markov Chain Monte Carlo
Fiber
Markov processes
Fibers
Observation

Acoustic angiography: A new high frequency contrast ultrasound technique for biomedical imaging

Shelton, S. E., Lindsey, B. D., Gessner, R., Lee, Y., Aylward, S., Lee, H., Cherin, E., Foster, F. S. & Dayton, P. A. 2016 Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016. SPIE, Vol. 9871, 987109

Research output: ResearchConference contribution

Biomedical Imaging
Angiography
Ultrasound
Acoustics
High Resolution
1 Citations

A hybrid multishape learning framework for longitudinal prediction of cortical surfaces and fiber tracts using neonatal data

Rekik, I., Li, G., Yap, P. T., Chen, G., Lin, W. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, 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: ResearchConference contribution

Hybrid Learning
Fiber
Prediction
Framework
Fibers

A new generation of stationary digital breast tomosynthesis system with wider angular span and faster scanning time

Calliste, J., Wu, G., Laganis, P. E., Spronk, D., Jafari, H., Olson, K., Gao, B., Lee, Y. Z., Zhou, O. & Lu, J. 2016 Medical Imaging 2016: Physics of Medical Imaging. SPIE, Vol. 9783, 978304

Research output: ResearchConference contribution

breast
scanning
Fluxes
Scanning
X rays
2 Citations

Angular resolution enhancement of diffusion MRI data using inter-subject information transfer

Chen, G., Zhang, P., Li, K., Wee, C. Y., Wu, Y., Shen, D. & Yap, P. T. 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, Vol. none, p. 145-157 13 p. (Mathematics and Visualization; vol. none)

Research output: ResearchConference contribution

Resolution Enhancement
Information Transfer
Distribution Function
Magnetic resonance imaging
Distribution functions
1 Citations

Automated segmentation of CBCT image with prior-guided sequential random forest

Wang, L., Gao, Y., Shi, F., Li, G., Chen, K. C., Tang, Z., Xia, J. J. & Shen, D. 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, p. 72-82 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9601)

Research output: ResearchConference contribution

Random Forest
Segmentation
Classifier
Classifiers
Majority Voting

Automatic cystocele severity grading in ultrasound by spatio-temporal regression

Ni, D., Ji, X., Gao, Y., Cheng, J. Z., Wang, H., Qin, J., Lei, B., Wang, T., Wu, G. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 247-255 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Grading
Ultrasound
Regression
Ultrasonics
Descent

Automatic hippocampal subfield segmentation from 3T multi-modality images

Wu, Z., Gao, Y., Shi, F., Jewells, V. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 229-236 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Multimodality
Subfield
Segmentation
Magnetic resonance imaging
Functional Magnetic Resonance Imaging

Automatic segmentation of hippocampus for longitudinal infant brain MR image sequence by spatial-temporal hypergraph learning

Guo, Y., Dong, P., Hao, S., Wang, L., Wu, G. & Shen, D. 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 9993 LNCS, p. 1-8 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9993 LNCS)

Research output: ResearchConference contribution

Hippocampus
Magnetic Resonance Image
Image Sequence
Hypergraph
Segmentation

Carotid plaque characterization with ARFI imaging: Blinded reader study

Czernuszewicz, T. J., Homeister, J. W., Caughey, M. C., Huang, B. Y., Lee, E. R., Zamora, C. A., Farber, M. A., Fulton, J. J., Ford, P. F., Marston, W. A., Vallabhaneni, R., Nichols, T. C. & Gallippi, C. M. Nov 1 2016 2016 IEEE International Ultrasonics Symposium, IUS 2016. IEEE Computer Society, Vol. 2016-November, 7728873

Research output: ResearchConference contribution

readers
sound waves
impulses
hemorrhages
collagens
1 Citations

Collaborative multi-view denoising

Zhang, L., Wang, S., Zhang, X., Wang, Y., Li, B., Shen, D. & Ji, S. Aug 13 2016 KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. 13-17-August-2016, p. 2045-2054 10 p.

Research output: ResearchConference contribution

Information retrieval
Semantics

Combination of grey matter and white matter features for early prediction of posttraumatic stress disorder

Wang, S., Hu, H., Su, S., Liu, L., Wang, Z., Wang, Q. & Shen, D. 2016 Intelligent Data Engineering and Automated Learning - 17th International Conference, IDEAL 2016, Proceedings. Springer Verlag, Vol. 9937 LNCS, p. 560-567 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9937 LNCS)

Research output: ResearchConference contribution

Disorder
Prediction
Brain
Region of Interest
Labeling
1 Citations

Consistent multi-atlas hippocampus segmentation for longitudinal MR brain images with temporal sparse representation

Wang, L., Guo, Y., Cao, X., Wu, G. & Shen, D. 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 9993 LNCS, p. 34-42 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9993 LNCS)

Research output: ResearchConference contribution

Hippocampus
Sparse Representation
Atlas
Segmentation
Brain
2 Citations

Construction of neonatal diffusion atlases via spatio-angular consistency

Saghafi, B., Chen, G., Shi, F., Yap, P. T. & Shen, D. 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 9993 LNCS, p. 9-16 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9993 LNCS)

Research output: ResearchConference contribution

Atlas
Image fusion
Imaging techniques
Image registration
Tensors
3 Citations

Convolutional neural network for reconstruction of 7T-like images from 3T MRI using appearance and anatomical features

Bahrami, K., Shi, F., Rekik, I. & Shen, D. 2016 Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10008 LNCS, p. 39-47 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10008 LNCS)

Research output: ResearchConference contribution

Magnetic Resonance Imaging
Neural Networks
Neural networks
Scanner
Patch
2 Citations

Correlation-weighted sparse group representation for brain network construction in MCI classification

Yu, R., Zhang, H., An, L., Chen, X., Wei, Z. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 37-45 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Group Representation
Brain
Network Connectivity
Modeling
Learning

Cross-manifold guidance in deformable registration of brain MR images

Zhang, J., Wang, Q., Wu, G. & Shen, D. 2016 Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Springer Verlag, Vol. 9805, p. 415-424 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805)

Research output: ResearchConference contribution

Registration
Guidance
Brain
Template
Pathway
1 Citations

Deep ensemble sparse regression network for alzheimer’s disease diagnosis

Suk, H. I. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 113-121 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Alzheimer's Disease
Ensemble
Regression
Regression Model
Target
1 Citations

Diagnosis of Alzheimer’s disease using view-aligned hypergraph learning with incomplete multi-modality data

Liu, M., Zhang, J., Yap, P. T. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 308-316 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Multimodality
Alzheimer's Disease
Hypergraph
Learning
Modality
1 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. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, 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: ResearchConference contribution

Folding
Brain
Neuroimaging
Similarity
Fusion reactions

Dual-layer groupwise registration for consistent labeling of longitudinal brain images

Kim, M., Wu, G., Rekik, I. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 69-76 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Registration
Labeling
Brain
Atlas
Labels
1 Citations

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

Zhang, P., Wu, G., Gao, Y., Yap, P. T. & Shen, D. 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, p. 137-145 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9601)

Research output: ResearchConference contribution

Atlas
Image Registration
Large Deformation
Segmentation
Image registration
3 Citations

Early diagnosis of Alzheimer’s disease by joint feature selection and classification on temporally structured support vector machine

Zhu, Y., Zhu, X., Kim, M., Shen, D. & Wu, G. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 264-272 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Alzheimer's Disease
Feature Selection
Support Vector Machine
Support vector machines
Feature extraction
2 Citations

Ensemble hierarchical high-order functional connectivity networks for MCI classification

Chen, X., Zhang, H. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 18-25 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Network Connectivity
Ensemble
Higher Order
Brain
Fusion reactions
3 Citations

Estimating CT image from MRI data using 3D fully convolutional networks

Nie, D., Cao, X., Gao, Y., Wang, L. & Shen, D. 2016 Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10008 LNCS, p. 170-178 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10008 LNCS)

Research output: ResearchConference contribution

Magnetic resonance
Tomography
Imaging techniques
Magnetic Resonance Imaging
Computed Tomography

Evaluation of renal transplant status using viscoelastic response (VisR) ultrasound: A pilot clinical study

Hossain, M. M., Selzo, M., Hinson, R., Baggessen, L., Detwiler, R., Chong, W., Brubaker, L., Caughey, M., Fisher, M., Whitehead, S. & Gallippi, C. Nov 1 2016 2016 IEEE International Ultrasonics Symposium, IUS 2016. IEEE Computer Society, Vol. 2016-November, 7728828

Research output: ResearchConference contribution

evaluation
pelvis
sound waves
elastic properties
viscosity
1 Citations

Fast neuroimaging-based retrieval for Alzheimer’s disease analysis

Zhu, X., Thung, K. H., Zhang, J. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 313-321 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Neuroimaging
Alzheimer's Disease
Landmarks
Retrieval
Nearest neighbor search

Feature selection based on iterative canonical correlation analysis for automatic diagnosis of Parkinson’s disease

Liu, L., Wang, Q., Adeli, E., Zhang, L., Zhang, H. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 1-8 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Parkinson's Disease
Canonical Correlation Analysis
Feature Selection
Feature extraction
Feature Vector
12 Citations

Fully convolutional networks for multi-modality isointense infant brain image segmentation

Nie, D., Wang, L., Gao, Y. & Sken, D. Jun 15 2016 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, Vol. 2016-June, p. 1342-1345 4 p. 7493515

Research output: ResearchConference contribution

Image segmentation
Brain
Tissue
Anisotropy
Gray Matter
2 Citations

Functional connectivity network fusion with dynamic thresholding for MCI diagnosis

Yang, X., Jin, Y., Chen, X., Zhang, H., Li, G. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 246-253 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Network Connectivity
Thresholding
Fusion
Fusion reactions
Magnetic Resonance Imaging
1 Citations

Hippocampus segmentation from MR infant brain images via boundary regression

Shao, Y., Guo, Y., Gao, Y., Yang, X. & Shen, D. 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, p. 146-154 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9601)

Research output: ResearchConference contribution

Hippocampus
Segmentation
Regression
Brain
Experiments

Identifying high order brain connectome biomarkers via learning on hypergraph

Zu, C., Gao, Y., Munsell, B., Kim, M., Peng, Z., Zhu, Y., Gao, W., Zhang, D., Shen, D. & Wu, G. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Biomarkers
Hypergraph
Higher Order
Learning
Brain
1 Citations

Identifying relationships in functional and structural connectome data using a hypergraph learning method

Munsell, B. C., Wu, G., Gao, Y., Desisto, N. & Styner, M. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 9-17 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Hypergraph
Learning
Relationships
Feature extraction
Brain
1 Citations

Initial clinical evaluation of stationary digital chest tomosynthesis

Hartman, A. E., Shan, J., Wu, G., Lee, Y. Z., Zhou, O., Lu, J., Heath, M., Wang, X. & Foos, D. 2016 Medical Imaging 2016: Physics of Medical Imaging. SPIE, Vol. 9783, 978366

Research output: ResearchConference contribution

chest
evaluation
X rays
Thorax
Dosimetry
1 Citations

Joint discriminative and representative feature selection for alzheimer’s disease diagnosis

Zhu, X., Suk, H. I., Thung, K. H., Zhu, Y., Wu, G. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 77-85 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Alzheimer's Disease
Feature Selection
Target
Feature extraction
Relationships
1 Citations

Joint feature-sample selection and robust classification for Parkinson’s disease diagnosis

Adeli-Mosabbeb, E., Wee, C. Y., An, L., Shi, F. & Shen, D. 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, p. 127-136 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9601)

Research output: ResearchConference contribution

Sample Selection
Parkinson's Disease
Feature Selection
Subset
Model

Laser-generated-focused ultrasound transducers for microbubble-mediated, dual-excitation sonothrombolysis

Kim, J., Chang, W. Y., Lindsey, B. D., Dayton, P. A., Dai, X., Stavas, J. M. & Jiang, X. Nov 1 2016 2016 IEEE International Ultrasonics Symposium, IUS 2016. IEEE Computer Society, Vol. 2016-November, 7728473

Research output: ResearchConference contribution

transducers
excitation
lasers
cavitation flow
shock waves
1 Citations

Learning appearance and shape evolution for infant image registration in the first year of life

Wei, L., Hu, S., Gao, Y., Cao, X., Wu, G. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 36-44 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Image Registration
Registration
Life
Learning
Image registration

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

Yu, R., Deng, M., Yap, P. T., Wei, Z., Wang, L. & Shen, D. 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 10019 LNCS, p. 213-220 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS)

Research output: ResearchConference contribution

Labeling
Guidance
Segmentation
Learning
Brain
4 Citations

Learning-based multimodal image registration for prostate cancer radiation therapy

Cao, X., Gao, Y., Yang, J., Wu, G. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9902 LNCS, p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9902 LNCS)

Research output: ResearchConference contribution

Radiation Therapy
Prostate Cancer
Computed Tomography
Image Registration
Learning
1 Citations

Learning-based topological correction for infant cortical surfaces

Hao, S., Li, G., Wang, L., Meng, Y. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 219-227 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Learning
Tissue
Sparse Representation
Voxel
Neuroimaging

Multi-atlas based segmentation of brainstem nuclei from MR images by deep hyper-graph learning

Dong, P., Guo, Y., Gao, Y., Liang, P., Shi, Y., Wang, Q., Shen, D. & Wu, G. 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, Vol. 9993 LNCS, p. 51-59 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9993 LNCS)

Research output: ResearchConference contribution

Magnetic Resonance Image
Atlas
Hypergraph
Nucleus
Segmentation
2 Citations

New multi-task learning model to predict Alzheimer’s disease cognitive assessment

Huo, Z., Shen, D. & Huang, H. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 317-325 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Multi-task Learning
Alzheimer's Disease
Predict
Model
Neuroimaging

Optical geometry calibration method for free-form digital tomosynthesis

Chtcheprov, P., Hartman, A., Shan, J., Lee, Y. Z., Zhou, O. & Lu, J. 2016 Medical Imaging 2016: Physics of Medical Imaging. SPIE, Vol. 9783, 978365

Research output: ResearchConference contribution

Calibration
Detectors
Geometry
detectors
geometry
2 Citations

Outcome prediction for patient with high-grade gliomas from brain functional and structural networks

Liu, L., Zhang, H., Rekik, I., Chen, X., Wang, Q. & Shen, D. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9901 LNCS, p. 26-34 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS)

Research output: ResearchConference contribution

Prediction
Brain
Survival Time
Imaging
Strategy
1 Citations

Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation

Sultana, S., Blatt, J. E., Lee, Y., Ewend, M., Cetas, J. S., Costa, A. & Audette, M. A. 2016 Clinical Image-Based Procedures: Translational Research in Medical Imaging - 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Revised Selected Papers. Springer Verlag, Vol. 9401, p. 36-44 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9401)

Research output: ResearchConference contribution

Nerve
Planning
Simulation
Model
Neurosurgery
2 Citations

Prediction of memory impairment with MRI data: A longitudinal study of Alzheimer’s disease

Wang, X., Shen, D. & Huang, H. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 273-281 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Alzheimer's Disease
Longitudinal Study
Prediction
Model
Learning
3 Citations

Progressive graph-based transductive learning for multi-modal classification of brain disorder disease

Wang, Z., Zhu, X., Adeli, E., Zhu, Y., Zu, C., Nie, F., Shen, D. & Wu, G. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 291-299 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Disorder
Graph in graph theory
Learning
Brain
Labels