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2018

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults

Mokhtari, F., Rejeski, W. J., Zhu, Y., Wu, G., Simpson, S. L., Burdette, J. H. & Laurienti, P. J., Jun 1 2018, In : NeuroImage. 173, p. 421-433 13 p.

Research output: Contribution to journalArticle

Weight Reduction Programs
Weight Loss
Obesity
Magnetic Resonance Imaging
Life Style

Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning

Zu, C., Gao, Y., Munsell, B., Kim, M., Peng, Z., Cohen, J. R., Zhang, D. & Wu, G., Jun 14 2018, (Accepted/In press) In : Brain Imaging and Behavior. p. 1-14 14 p.

Research output: Contribution to journalArticle

Connectome
Biomarkers
Learning
Brain
Attention Deficit Disorder with Hyperactivity

Learning non-linear patch embeddings with neural networks for label fusion

for the Alzheimer's Disease Neuroimaging Initiative, Feb 1 2018, In : Medical Image Analysis. 44, p. 143-155 13 p.

Research output: Contribution to journalArticle

Image Enhancement
Image enhancement
Atlases
Magnetic resonance imaging
Labels

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

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

Adeli, E., Thung, K. H., An, L., Wu, G., Shi, F., Wang, T. & Shen, D., Jan 16 2018, (Accepted/In press) In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticle

Neurodegenerative diseases
Neuroimaging
Biomedical Imaging
Least squares approximations
Computer aided diagnosis

Special Issue on High Performance Computing in Bio-medical Informatics

Zhou, L., Rekik, I., Yan, C. & Wu, G., Jan 1 2018, (Accepted/In press) In : Neuroinformatics.

Research output: Contribution to journalArticle

Computing Methodologies
Medical Informatics
Computational Biology
2017
4 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

Neuroimaging
Medical Imaging
Medical imaging
Iterative methods
Hypergraph

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

Population statistics
Magnetic levitation vehicles
Computer aided diagnosis
Computer-aided Diagnosis
Magnetic Resonance Imaging
6 Citations

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution

Zhang, J., Zhang, L., Xiang, L., Shao, Y., Wu, G., Zhou, X., Shen, D. & Wang, Q., Mar 1 2017, In : Pattern Recognition. 63, p. 531-541 11 p.

Research output: Contribution to journalArticle

Magnetic resonance
Brain
Fusion reactions
Electric fuses
Imaging techniques
7 Citations

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images

Zhang, L., Wang, Q., Gao, Y., Li, H., Wu, G. & Shen, D., Mar 15 2017, In : Neurocomputing. 229, p. 3-12 10 p.

Research output: Contribution to journalArticle

Labeling
Hippocampus
Brain
Labels
Electric fuses
128 Citations

Deep Learning in Medical Image Analysis

Shen, D., Wu, G. & Suk, H. I., Jun 21 2017, In : Annual Review of Biomedical Engineering. 19, p. 221-248 28 p.

Research output: Contribution to journalArticle

Computer aided instruction
Computer aided analysis
Computer aided diagnosis
Medical imaging
Medical applications
11 Citations

Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis

Cao, X., Yang, J., Gao, Y., Guo, Y., Wu, G. & Shen, D., Oct 1 2017, In : Medical Image Analysis. 41, p. 18-31 14 p.

Research output: Contribution to journalArticle

Decision Trees
Radiotherapy
Decision trees
Iterative methods
Magnetic resonance imaging

Efficient groupwise registration for brain MRI by fast initialization

Dong, P., Cao, X., Zhang, J., Kim, M., Wu, G. & 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. 150-158 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

Computer aided instruction
Statistical tests
Magnetic Resonance Imaging
Learning Systems
Statistical test
8 Citations

Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson's Disease

Adeli, E., Wu, G., Saghafi, B., An, L., Shi, F. & Shen, D., Jan 25 2017, In : Scientific Reports. 7, 41069

Research output: Contribution to journalArticle

Feature extraction
Neurodegenerative diseases
Neuroimaging
Linear regression
Magnetic resonance imaging
2 Citations

Learning-based deformable registration for infant MRI by integrating random forest with auto-context model:

Wei, L., Cao, X., Wang, Z., Gao, Y., Hu, S., Wang, L., Wu, G. & Shen, D., Dec 1 2017, In : Medical physics. 44, 12, p. 6289-6303 15 p.

Research output: Contribution to journalArticle

Learning
Brain
Forests
Multimodal Imaging
Parturition
3 Citations

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning

for the ADNI and PPMI, Jul 1 2017, In : Medical Image Analysis. 39, p. 218-230 13 p.

Research output: Contribution to journalArticle

Computer-Assisted Diagnosis
Graphic methods
Neurodegenerative diseases
Computer aided instruction
Computer aided diagnosis
4 Citations

Personalized diagnosis for Alzheimer’s disease

Zhu, Y., Kim, M., Zhu, X., Yan, J., Kaufer, D. & Wu, G., Jan 1 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag, p. 205-213 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS)

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

Alzheimer's Disease
Classifier
Classifiers
Regression
Neuroimaging

Preface

Wu, G., Laurienti, P., Bonilha, L. & Munsell, B. C. Jan 1 2017 In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10511 LNCS, p. V

Research output: Contribution to journalEditorial

Preface

Wu, G., Munsell, B. C., Zhan, Y., Bai, W., Sanroma, G. & Coupé, P., Jan 1 2017, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10530 LNCS, p. V-VI

Research output: Contribution to journalEditorial

Progressive multi-atlas label fusion by dictionary evolution

Song, Y., Wu, G., Bahrami, K., Sun, Q. & Shen, D., Feb 1 2017, In : Medical Image Analysis. 36, p. 162-171 10 p.

Research output: Contribution to journalArticle

Atlases
Glossaries
Labels
Fusion reactions
Labeling
5 Citations

Robust multi-atlas label propagation by deep sparse representation

Zu, C., Wang, Z., Zhang, D., Liang, P., Shi, Y., Shen, D. & Wu, G., Mar 1 2017, In : Pattern Recognition. 63, p. 511-517 7 p.

Research output: Contribution to journalArticle

Labels
Glossaries
Fusion reactions
Medical imaging
Labeling
2 Citations

Scalable joint segmentation and registration framework for infant brain images

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

Research output: Contribution to journalArticle

Brain mapping
Brain Mapping
Image fusion
Magnetic resonance imaging
Brain
2016

A dynamic tree-based registration could handle possible large deformations among MR brain images

Zhang, P., Wu, G., Gao, Y., Yap, P. T. & Shen, D., Sep 1 2016, In : Computerized Medical Imaging and Graphics. 52, p. 1-7 7 p.

Research output: Contribution to journalArticle

Atlases
Brain
Image registration
Labels
Anatomy

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. Unal, G., Ourselin, S., Joskowicz, L., Sabuncu, M. R. & Wells, W. (eds.). Springer Verlag, 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
14 Citations

Automatic labeling of MR brain images by hierarchical learning of atlas forests

Zhang, L., Wang, Q., Gao, Y., Wu, G. & Shen, D., Mar 1 2016, In : Medical physics. 43, 3, 023103

Research output: Contribution to journalArticle

Atlases
Learning
Brain
Forests
Neuroimaging

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. Coupe, P., Munsell, B. C., Rueckert, D., Zhan, Y. & Wu, G. (eds.). 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
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. Coupe, P., Munsell, B. C., Rueckert, D., Zhan, Y. & Wu, G. (eds.). Springer Verlag, 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
6 Citations

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

Zhang, Y., Shi, F., Wu, G., Wang, L., Yap, P. T. & Shen, D., Dec 1 2016, In : IEEE Transactions on Medical Imaging. 35, 12, p. 2568-2577 10 p., 7505972

Research output: Contribution to journalArticle

Atlases
Brain
Tissue

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

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. Kelm, M., Müller, H., Menze, B., Zhang, S., Metaxas, D., Langs, G., Montillo, A. & Cai, W. (eds.). Springer Verlag, 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
8 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. Unal, G., Sabuncu, M. R., Wells, W., Ourselin, S. & Joskowicz, L. (eds.). Springer Verlag, 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
1 Citations

EHUGS: Enhanced hierarchical unbiased graph shrinkage for efficient groupwise registration

Wu, G., Peng, X., Ying, S., Wang, Q., Yap, P. T., Shen, D. & Shen, D., Jan 1 2016, In : PloS one. 11, 1, e0146870

Research output: Contribution to journalArticle

shrinkage
Information Dissemination
Brain
Topology
harness

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
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. Wang, L., Suk, H-I., Shi, Y., Adeli, E. & Wang, Q. (eds.). Springer Verlag, 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
11 Citations

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data

Adeli, E., Shi, F., An, L., Wee, C. Y., Wu, G., Wang, T. & Shen, D., Nov 1 2016, In : NeuroImage. 141, p. 206-219 14 p.

Research output: Contribution to journalArticle

Parkinson Disease
Joints
Magnetic Resonance Imaging
Noise
Biomarkers
3 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
8 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. Joskowicz, L., Sabuncu, M. R., Wells, W., Unal, G. & Ourselin, S. (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. 9902 LNCS)

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

Radiation Therapy
Prostate Cancer
Image registration
Radiotherapy
Computed Tomography
4 Citations

Machine Learning and Medical Imaging

Wu, G., Shen, D. & Sabuncu, M. R., Aug 9 2016, Elsevier Inc.487 p.

Research output: Book/ReportBook

Medical computing
Ultrasonic applications
Computer aided diagnosis
Computerized tomography
Medical imaging

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. Coupe, P., Munsell, B. C., Rueckert, D., Zhan, Y. & Wu, G. (eds.). 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

Neuronal network architecture and temporal lobe epilepsy: A connectome-based and machine learning study

Munsell, B. C., Wu, G., Keller, S., Fridriksson, J., Weber, B., Styner, M., Shen, D. & Bonilha, L., Aug 9 2016, Machine Learning and Medical Imaging. Elsevier Inc., p. 455-476 22 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations

Nonlocal atlas-guided multi-channel forest learning for human brain labeling

Ma, G., Gao, Y., Wu, G., Wu, L. & Shen, D., Feb 1 2016, In : Medical physics. 43, 2, p. 1003-1019 17 p.

Research output: Contribution to journalArticle

Nonlinear Dynamics
Computer-Assisted Image Processing
Atlases
Magnetic Resonance Imaging
Learning

Preface

Wu, G., Shen, D. & Sabuncu, M. R., Aug 9 2016, Machine Learning and Medical Imaging. Elsevier Inc., p. xxi-xxii

Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

Software engineering
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
6 Citations

Reveal consistent spatial-temporal patterns from dynamic functional connectivity for autism spectrum disorder identification

Zhu, Y., Zhu, X., Zhang, H., Gao, W., 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. 106-114 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
Brain
Connectivity
Functional Magnetic Resonance Imaging
Computational methods
23 Citations

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Wu, G., Kim, M., Wang, Q., Munsell, B. C. & Shen, D., Jul 1 2016, In : IEEE Transactions on Biomedical Engineering. 63, 7, p. 1505-1516 12 p., 7314894

Research output: Contribution to journalArticle

Image registration
Imaging techniques
Feature extraction
Unsupervised learning
Medical imaging
2015
13 Citations

A transversal approach for patch-based label fusion via matrix completion

Sanroma, G., Wu, G., Gao, Y., Thung, K. H., Guo, Y. & Shen, D., Aug 1 2015, In : Medical Image Analysis. 24, 1, p. 135-148 14 p.

Research output: Contribution to journalArticle

Atlases
Labels
Fusion reactions
Hippocampus
Labeling

Automatic hippocampus labeling using the hierarchy of sub-region random forests

Zhang, L., Wang, Q., Gao, Y., Wu, G. & Shen, D., Jan 1 2015, Patch-Based Techniques in Medical Imaging - First st International Workshop, Patch-MI 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Springer Verlag, Vol. 9467, p. 19-27 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9467)

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

Hippocampus
Random Forest
Labeling
Atlas
Testing
23 Citations

Building dynamic population graph for accurate correspondence detection

Du, S., Guo, Y., Sanroma, G., Ni, D., Wu, G. & Shen, D., Dec 1 2015, In : Medical Image Analysis. 26, 1, p. 256-267 12 p.

Research output: Contribution to journalArticle

Population dynamics
Population Dynamics
Hand
Diagnostic Imaging
Individuality