Research Output 1973 2019

2019

First-year development of modules and hubs in infant brain functional networks

Wen, X., Zhang, H., Li, G., Liu, M., Yin, W., Lin, W., Zhang, J. & Shen, D., Jan 15 2019, In : NeuroImage. 185, p. 222-235 14 p.

Research output: Contribution to journalArticle

Brain
Magnetic Resonance Imaging
Connectome
Group Structure
Newborn Infant
2018
Graft vs Host Disease
Hematopoietic Stem Cells
Positron-Emission Tomography
Transplants
T-Lymphocytes
1 Citations

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

Wang, Y., Yu, B., Wang, L., Zu, C., Lalush, D. S., Lin, W., Wu, X., Zhou, J., Shen, D. & Zhou, L., Jul 1 2018, In : NeuroImage. 174, p. 550-562 13 p.

Research output: Contribution to journalArticle

Positron-Emission Tomography
Biochemical Phenomena
Radioactive Tracers
Physiological Phenomena
Benchmarking
1 Citations

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

Nie, D., Wang, L., Adeli, E., Lao, C., Lin, W. & Shen, D., Feb 8 2018, (Accepted/In press) In : IEEE Transactions on Cybernetics.

Research output: Contribution to journalArticle

Image segmentation
Brain
Tissue
Magnetic resonance
Network architecture

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants

Xia, J., Zhang, C., Wang, F., Meng, Y., Wu, Z., Wang, L., Lin, W., Shen, D. & Li, G., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 683-686 4 p.

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

Computational methods
Growth
Direction compound

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants

Xia, J., Wang, F., Meng, Y., Wu, Z., Wang, L., Lin, W., Zhang, C., Shen, D. & Li, G., Oct 1 2018, In : Medical Image Analysis. 49, p. 46-59 14 p.

Research output: Contribution to journalArticle

Computational methods
Term Birth
Least-Squares Analysis
Tensors
Brain

Adaptive decision-making of breast cancer mammography screening: A heuristic-based regression model

Wang, F., Zhang, S. & Henderson, L. M., Apr 1 2018, In : Omega (United Kingdom). 76, p. 70-84 15 p.

Research output: Contribution to journalArticle

Decision making
Screening
Mammography
Heuristics
Regression model

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 Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment

Duan, W., Zheng, Y., Ding, Y., Hou, S., Tang, Y., Xu, Y., Qin, M., Wu, J., Shen, D. & Bi, H., Apr 16 2018, In : IEEE Access. 6, p. 25130-25141 12 p.

Research output: Contribution to journalArticle

Thickness gages
Ophthalmology
Thickness measurement
Optical tomography
Electronic mail

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
1 Citations

A Mutation in the Borcs7 Subunit of the Lysosome Regulatory BORC Complex Results in Motor Deficits and Dystrophic Axonopathy in Mice

Snouwaert, J. N., Church, R. J., Jania, L., Nguyen, M. T., Wheeler, M. L., Saintsing, A., Mieczkowski, P., Manuel de Villena, F. P., Armao, D., Moy, S. S., Lorenzo, D. N. & Koller, B. H., Jul 31 2018, In : Cell Reports. 24, 5, p. 1254-1265 12 p.

Research output: Contribution to journalArticle

Lysosomes
Mutation
Genes
Axonal Transport
Animals
1 Citations

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

Liu, M., Zhang, J., Nie, D., Yap, P. T. & Shen, D., Sep 1 2018, In : IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1476-1485 10 p., 8253440.

Research output: Contribution to journalArticle

Brain Diseases
Magnetic resonance
Brain
Magnetic Resonance Spectroscopy
Alzheimer Disease
Vocal Cords
Laryngoscopy
Paralysis
Anatomy
Neck

Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism

Wang, L., Li, G., Adeli, E., Liu, M., Wu, Z., Meng, Y., Lin, W. & Shen, D., Jun 1 2018, In : Human Brain Mapping. 39, 6, p. 2609-2623 15 p.

Research output: Contribution to journalArticle

Autistic Disorder
Anatomy
Joints
Brain
Biomarkers

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space

Chen, G., Dong, B., Zhang, Y., Lin, W., Shen, D. & Yap, P. T., Sep 7 2018, In : Frontiers in Neuroinformatics. 12, 57.

Research output: Contribution to journalArticle

Diffusion Magnetic Resonance Imaging
Magnetic resonance imaging
Inverse problems
Interpolation
Water
1 Citations

A Novel 18 F-Labeling Method for the Synthesis of [ 18 F]-Piperidine-Containing Ligands as Potential PET Radiotracers for σ Receptors

Ortiz, G. X., Chansaenpak, K., Wang, M., Ma, X., Wang, H., Li, Z. & Wang, Q., Mar 1 2018, In : Synlett. 29, 4, p. 410-414 5 p.

Research output: Contribution to journalArticle

sigma Receptors
Alkenes
Labeling
Ligands
Pharmacokinetics

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
1 Citations

An update on carbon nanotube-enabled X-ray sources for biomedical imaging

Puett, C., Inscoe, C., Hartman, A., Calliste, J., Franceschi, D. K., Lu, J., Zhou, O. & Lee, Y. Z., Jan 1 2018, In : Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology. 10, 1, e1475.

Research output: Contribution to journalReview article

Carbon Nanotubes
Carbon nanotubes
X-Rays
Imaging techniques
X rays

Application of machine learning to automated analysis of cerebral edema in large cohorts of ischemic stroke patients

Dhar, R., Chen, Y., An, H. & Lee, J. M., Aug 21 2018, In : Frontiers in Neurology. 9, AUG, 687.

Research output: Contribution to journalArticle

Brain Edema
Cerebrospinal Fluid
Stroke
Edema
Cone-Beam Computed Tomography

A review on neuroimaging studies of genetic and environmental influences on early brain development

Gao, W., Grewen, K., Knickmeyer, R. C., Qiu, A., Salzwedel, A., Lin, W. & Gilmore, J. H., Jan 1 2018, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Neuroimaging
Brain
Gene-Environment Interaction
Genome-Wide Association Study
Environmental Exposure

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

Association between general joint hypermobility and knee, hip, and lumbar spine osteoarthritis by race: A cross-sectional study

Flowers, P. P. E., Cleveland, R. J., Schwartz, T. A., Nelson, A. E., Kraus, V. B., Hillstrom, H. J., Goode, A. P., Hannan, M. T., Renner, J. B., Jordan, J. M. & Golightly, Y. M., Apr 18 2018, In : Arthritis Research and Therapy. 20, 1, 76.

Research output: Contribution to journalArticle

Spine Osteoarthritis
Joint Instability
Osteoarthritis
African Americans
Hip

Associations between cartilage proteoglycan density and patient outcomes 12 months following anterior cruciate ligament reconstruction

Pietrosimone, B., Nissman, D., Padua, D. A., Blackburn, J. T., Harkey, M. S., Creighton, R. A., Kamath, G. M., Healy, K., Schmitz, R., Driban, J. B., Marshall, S. W., Jordan, J. M. & Spang, J. T., Jan 1 2018, In : Knee. 25, 1, p. 118-129 12 p.

Research output: Contribution to journalArticle

Anterior Cruciate Ligament Reconstruction
Proteoglycans
Thigh
Knee Injuries
Knee Osteoarthritis
1 Citations
Anterior Cruciate Ligament Reconstruction
Thigh
Cartilage
Magnetic Resonance Imaging
Extremities
Knee Osteoarthritis
Chemokine CCL2
Biomarkers
Osteoarthritis
Logistics

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

Best Practice Guidelines for CT-Guided Interventional Procedures

Society of Interventional Radiology Health and Safety Committee, Apr 1 2018, In : Journal of Vascular and Interventional Radiology. 29, 4, p. 518-519 2 p.

Research output: Contribution to journalArticle

Practice Guidelines
2 Citations

Beyond sarcopenia: Characterization and integration of skeletal muscle quantity and radiodensity in a curable breast cancer population

Weinberg, M. S., Shachar, S. S., Muss, H. B., Deal, A. M., Popuri, K., Yu, H., Nyrop, K. A., Alston, S. M. & Williams, G. R., May 1 2018, In : Breast Journal. 24, 3, p. 278-284 7 p.

Research output: Contribution to journalArticle

Sarcopenia
Skeletal Muscle
Breast Neoplasms
Population
Tomography
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
1 Citations

Brain-wide Genome-wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model

Zhou, T., Thung, K. H., Liu, M. & Shen, D., Apr 6 2018, (Accepted/In press) In : IEEE Transactions on Biomedical Engineering.

Research output: Contribution to journalArticle

Brain
Genes
Imaging techniques
Labels
Neuroimaging
1 Citations

Building a culture of safety in interventional radiology

du Pisanie, J. L. & Dixon, R., Jan 1 2018, (Accepted/In press) In : Techniques in Vascular and Interventional Radiology.

Research output: Contribution to journalArticle

Safety Management
Interventional Radiology
Health Services Research
Safety
Medical Errors

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

CAPTURE: Consistently Acquired Projections for Tuned and Robust Estimation: A Self-Navigated Respiratory Motion Correction Approach

Eldeniz, C., Fraum, T., Salter, A., Chen, Y., Gach, H. M., Parikh, P. J., Fowler, K. J. & An, H., May 1 2018, In : Investigative Radiology. 53, 5, p. 293-305 13 p.

Research output: Contribution to journalArticle

Respiration
Health Insurance Portability and Accountability Act
Research Ethics Committees
Informed Consent
Healthy Volunteers

Cavitary plaques in otospongiosis: CT findings and clinical implications

Puac, P., Rodríguez, A., Lin, H. C., Onofrj, V., Lin, F. C., Hung, S. C., Zamora, C. & Castillo, M., Jun 1 2018, In : American Journal of Neuroradiology. 39, 6, p. 1135-1139 5 p.

Research output: Contribution to journalArticle

Otosclerosis
Cochlear Implantation
Sensorineural Hearing Loss
Temporal Bone
Hearing Loss
3 Citations

Circulating biomarkers in extremely preterm infants associated with ultrasound indicators of brain damage

Leviton, A., Allred, E. N., Fichorova, R. N., O'Shea, T. M., Fordham, L. A., Kuban, K. K. C. & Dammann, O., May 1 2018, In : European Journal of Paediatric Neurology. 22, 3, p. 440-450 11 p.

Research output: Contribution to journalArticle

Extremely Premature Infants
Biomarkers
Brain
Inflammation
Blood Proteins

Cognitive Assessment Prediction in Alzheimer’s Disease by Multi-Layer Multi-Target Regression

Wang, X., Zhen, X., Li, Q., Shen, D. & Huang, H., May 25 2018, (Accepted/In press) In : Neuroinformatics. p. 1-10 10 p.

Research output: Contribution to journalArticle

Biomarkers
Alzheimer Disease
Learning
Neuroimaging
Glossaries

Comparative Analysis of Cone-Beam CT Angiogram and Conventional CT Angiogram for Prostatic Artery Identification Prior to Embolization

Desai, H., Yu, H., Ohana, E., Gunnell, E. T., Kim, J. & Isaacson, A., Feb 1 2018, In : Journal of Vascular and Interventional Radiology. 29, 2, p. 229-232 4 p.

Research output: Contribution to journalArticle

Cone-Beam Computed Tomography
Angiography
Arteries
Tomography
Signal-To-Noise Ratio
1 Citations
cartilage
walking
landing
Thigh
Walking

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
2 Citations

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

for the Alzheimer's Disease Neuroimaging Initiative, Apr 1 2018, In : Medical Image Analysis. 45, p. 68-82 15 p.

Research output: Contribution to journalArticle

Neuroimaging
Linear regression
Feature extraction
Survival Analysis
Longitudinal Studies

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

Cross-Sectional Imaging Techniques and Normal Anatomy of the Salivary Glands

Atkinson, C., Fuller, J. & Huang, B., May 1 2018, In : Neuroimaging Clinics of North America. 28, 2, p. 137-158 22 p.

Research output: Contribution to journalReview article

Salivary Glands
Anatomy
Pathology
Oral Hygiene
Digestion

Cumulative risk distribution for interval invasive second breast cancers after negative surveillance mammography

Lee, J. M., Abraham, L., Lam, D. L., Buist, D. S. M., Kerlikowske, K., Miglioretti, D. L., Houssami, N., Lehman, C. D., Henderson, L. M. & Hubbard, R. A., Jul 10 2018, In : Journal of Clinical Oncology. 36, 20, p. 2070-2077 8 p.

Research output: Contribution to journalArticle

Second Primary Neoplasms
Mammography
Breast Neoplasms
Neoplasms
Carcinoma, Intraductal, Noninfiltrating

Current Concepts and Future Directions of Minimally Invasive Treatment for Knee Pain

Goldman, D. T., Piechowiak, R., Nissman, D., Bagla, S. & Isaacson, A., Sep 1 2018, In : Current rheumatology reports. 20, 9, 54.

Research output: Contribution to journalReview article

Knee
Pain
Osteoarthritis
Arthroplasty
Viscosupplementation
1 Citations

Data-driven graph construction and graph learning: A review

Qiao, L., Zhang, L., Chen, S. & Shen, D., Jan 1 2018, (Accepted/In press) In : Neurocomputing.

Research output: Contribution to journalArticle

Learning
Learning algorithms
Graph theory
Supervised learning
Learning systems

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
2 Citations

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image

Xiang, L., Wang, Q., Nie, D., Zhang, L., Jin, X., Qiao, Y. & Shen, D., Jul 1 2018, In : Medical Image Analysis. 47, p. 31-44 14 p.

Research output: Contribution to journalArticle

Magnetic resonance
Tomography
Magnetic Resonance Spectroscopy
Neural networks
Neuroimaging

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