Research Output 1973 2017

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Conference contribution
2016
9 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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

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

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

Bahrami, K., Rekik, I., Shi, F., Gao, Y. & Shen, D. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance imaging
Segmentation
Scanner
Tissue
Brain

Accelerating global tractography using parallel Markov chain Monte Carlo

Wu, H., Chen, G., Yang, Z., Shen, D. & Yap, P. T. Jan 1 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, p. 121-130 10 p. (Mathematics and Visualization; vol. none)

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

Markov Chain Monte Carlo
Markov processes
Fiber
Fibers
Markov Chain Monte Carlo Algorithms

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. Jan 1 2016 Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016. SPIE, Vol. 9871, 987109

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

Biomedical Imaging
Angiography
angiography
Ultrasound
Acoustics
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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Hybrid Learning
Fiber
Fibers
Prediction
Face

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: Chapter in Book/Report/Conference proceedingConference contribution

Mammography
breast
X-Rays
Fluxes
Scanning
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. Jan 1 2016 Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg, p. 145-157 13 p. (Mathematics and Visualization; vol. none)

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

Resolution Enhancement
Information Transfer
Magnetic resonance imaging
Distribution functions
Distribution Function
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. 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. 72-82 11 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

Random Forest
Classifiers
Segmentation
Classifier
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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Grading
Ultrasound
Regression
Ultrasonics
Descent
1 Citations

Automatic hippocampal subfield segmentation from 3T multi-modality images

Wu, Z., Gao, Y., Shi, F., Jewells, V. & 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Multimodality
Subfield
Magnetic resonance imaging
Segmentation
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. Jan 1 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Hippocampus
Magnetic Resonance Image
Magnetic resonance
Image Sequence
Hypergraph

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: Chapter in Book/Report/Conference proceedingConference contribution

readers
sound waves
impulses
hemorrhages
collagens
2 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: Chapter in Book/Report/Conference proceedingConference 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. Jan 1 2016 Intelligent Data Engineering and Automated Learning - 17th International Conference, IDEAL 2016, Proceedings. Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Disorder
Brain
Region of Interest
Prediction
Labeling
2 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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Hippocampus
Sparse Representation
Atlas
Labels
Brain
2 Citations

Construction of neonatal diffusion atlases via spatio-angular consistency

Saghafi, B., Chen, G., Shi, F., Yap, P. T. & Shen, D. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Atlas
Image fusion
Imaging techniques
Image registration
Tensors
7 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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference 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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Group Representation
Brain
Network Connectivity
Alzheimer's Disease
Functional Magnetic Resonance Imaging

Cross-manifold guidance in deformable registration of brain MR images

Zhang, J., Wang, Q., Wu, G. & Shen, D. Jan 1 2016 Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Springer Verlag, Vol. 9805 LNCS, p. 415-424 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS)

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

Registration
Guidance
Brain
Template
Image registration
3 Citations

Deep ensemble sparse regression network for alzheimer’s disease diagnosis

Suk, H. I. & 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. 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: Chapter in Book/Report/Conference proceedingConference 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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Multimodality
Alzheimer's Disease
Hypergraph
Modality
Magnetic resonance imaging
2 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Folding
Brain
Neuroimaging
Fusion reactions
Large Data Sets

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

Kim, M., Wu, G., Rekik, I. & 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Atlas
Registration
Brain
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. 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. 137-145 9 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

Atlas
Image registration
Image Registration
Large Deformation
Segmentation
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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

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

Ensemble hierarchical high-order functional connectivity networks for MCI classification

Chen, X., Zhang, H. & Shen, D. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Network Connectivity
Brain
Ensemble
Higher Order
Fusion reactions
10 Citations

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

Nie, D., Cao, X., Gao, Y., Wang, L. & Shen, D. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic Resonance Imaging
Computed Tomography
Magnetic resonance
Tomography
Imaging techniques
1 Citations

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: Chapter in Book/Report/Conference proceedingConference contribution

pelvis
evaluation
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. 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Alzheimer's Disease
Landmarks
Retrieval
Binary codes

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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Parkinson's Disease
Canonical Correlation Analysis
Feature Selection
Feature extraction
Feature Vector
16 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: Chapter in Book/Report/Conference proceedingConference contribution

Image segmentation
Brain
Tissue
Anisotropy
Cerebrospinal fluid
2 Citations

Functional connectivity network fusion with dynamic thresholding for MCI diagnosis

Yang, X., Jin, Y., Chen, X., Zhang, H., Li, G. & Shen, D. Jan 1 2016 Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Network Connectivity
Thresholding
Fusion
Fusion reactions
Neuroimaging
1 Citations

Hippocampus segmentation from MR infant brain images via boundary regression

Shao, Y., Guo, Y., Gao, Y., Yang, X. & 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. 146-154 9 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

Hippocampus
Brain
Segmentation
Regression
Boundary Detection

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. 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Biomarkers
Hypergraph
Brain
Higher Order
Labels
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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Hypergraph
Feature extraction
Brain
Functional Data
Neuroimaging
3 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: Chapter in Book/Report/Conference proceedingConference contribution

chest
Thorax
Dosimetry
X rays
evaluation
2 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. 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Feature Selection
Feature extraction
Neuroimaging
Brain
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. 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. 127-136 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

Sample Selection
Parkinson's Disease
Feature Selection
Brain
Subset
3 Citations

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: Chapter in Book/Report/Conference proceedingConference contribution

transducers
excitation
lasers
cavitation flow
shock waves
2 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. 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Image registration
Image Registration
Registration
Brain
Structural dynamics

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. 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. 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: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Magnetic Resonance Image
Magnetic resonance imaging
Labeling
Guidance
5 Citations

Learning-based multimodal image registration for prostate cancer radiation therapy

Cao, X., Gao, Y., Yang, J., Wu, G. & Shen, D. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Radiation Therapy
Prostate Cancer
Image registration
Radiotherapy
Computed Tomography
1 Citations

Learning-based topological correction for infant cortical surfaces

Hao, S., Li, G., Wang, L., Meng, Y. & Shen, D. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Tissue
Neuroimaging
Sparse Representation
Voxel
Glossaries

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. Jan 1 2016 Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic Resonance Image
Atlas
Magnetic resonance
Hypergraph
Nucleus
3 Citations

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

Huo, Z., Shen, D. & Huang, H. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Multi-task Learning
Alzheimer's Disease
Neuroimaging
Performance Prediction
Predict

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: Chapter in Book/Report/Conference proceedingConference contribution

Calibration
X-Rays
Detectors
Geometry
detectors
3 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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Prediction
Survival Time
Imaging
Diffusion tensor imaging
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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Neurosurgery
Nerve
Identification (control systems)
Planning
Minimal Path
2 Citations

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

Wang, X., Shen, D. & Huang, H. Jan 1 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, 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: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Longitudinal Study
Magnetic resonance imaging
Data storage equipment
Prediction
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. Jan 1 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: Chapter in Book/Report/Conference proceedingConference contribution

Disorder
Labels
Brain
Graph in graph theory
Imaging techniques