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Research Output 1999 2020

2020

A feature transfer enabled multi-task deep learning model on medical imaging

Gao, F., Yoon, H., Wu, T. & Chu, X., Apr 1 2020, In : Expert Systems With Applications. 143, 112957.

Research output: Contribution to journalArticle

Medical imaging
Deep learning
Cost functions
Image analysis
Costs
2019

A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms

Wang, K., Patel, B. K., Wang, L., Wu, T., Zheng, B. & Li, J., Jan 1 2019, In : IISE Transactions on Healthcare Systems Engineering.

Research output: Contribution to journalArticle

Mammography
Learning systems
cancer
Breast Neoplasms
diagnostic

An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction

Qin, Q., Xie, K., He, H., Li, L., Chu, X., Wei, Y. M. & Wu, T., Sep 1 2019, In : Energy Economics. 83, p. 402-414 13 p.

Research output: Contribution to journalArticle

Decomposition
Time series
Natural Gas
Electricity
Petroleum
4 Citations (Scopus)

Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis

Gao, F., Wu, T., Chu, X., Yoon, H., Xu, Y. & Patel, B., Jan 1 2019, In : IEEE Journal of Biomedical and Health Informatics.

Research output: Contribution to journalArticle

Medical imaging
Diagnostic Imaging
Neuroimaging
Neural networks
Precision Medicine

ENTRNA: A framework to predict RNA foldability

Su, C., Weir, J. D., Zhang, F., Yan, H. & Wu, T., Jul 3 2019, In : BMC bioinformatics. 20, 1, 373.

Research output: Contribution to journalArticle

Open Access
RNA
Predict
Folding
Structure Prediction
Data-driven

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Gaw, N., Hawkins-Daarud, A., Hu, L. S., Yoon, H., Wang, L., Xu, Y., Jackson, P. R., Singleton, K. W., Baxter, L. C., Eschbacher, J., Gonzales, A., Nespodzany, A., Smith, K., Nakaji, P., Mitchell, J. R., Wu, T., Swanson, K. R. & Li, J., Dec 1 2019, In : Scientific reports. 9, 1, 10063.

Research output: Contribution to journalArticle

Open Access
Glioblastoma
Cell Count
Magnetic Resonance Imaging
Neoplasms
Machine Learning

U-net with optimal thresholding for small blob detection in medical images

Xu, Y., Gao, F., Wu, T., Bennett, K. M., Charlton, J. R. & Sarkar, S., Aug 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019. IEEE Computer Society, p. 1761-1767 7 p. 8843234. (IEEE International Conference on Automation Science and Engineering; vol. 2019-August).

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

Biomarkers
Experiments
Image resolution
Object detection
Deep learning
2018
2 Citations (Scopus)

A cross-study analysis for reproducible sub-classification of traumatic brain injury

Si, B., Dumkrieger, G., Wu, T., Zafonte, R., Dodick, D. W., Schwedt, T. J. & Li, J., Aug 13 2018, In : Frontiers in Neurology. 9, AUG, 606.

Research output: Contribution to journalArticle

Trail Making Test
Glasgow Outcome Scale
Cytidine Diphosphate Choline
Closed Head Injuries
Traumatic Brain Injury

ADMultiImg: A novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data

Liu, X., Chen, K., Wu, T., Weidman, D., Lure, F. & Li, J., Jan 1 2018, Medical Imaging 2018: Computer-Aided Diagnosis. SPIE, Vol. 10575. 105750I

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

impairment
computer aided design
learning
Computer aided design
Alzheimer Disease

Bi-Threshold frequent subgraph mining for Alzheimer disease risk assessment

Gao, F., Li, J., Wu, T., Chen, K., Liu, X., Baxter, L. & Caselli, R. J., Jan 1 2018, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications. SPIE, Vol. 10579. 105790C

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

risk assessment
Risk assessment
Brain
Alzheimer Disease
thresholds
12 Citations (Scopus)

Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

Danala, G., Patel, B., Aghaei, F., Heidari, M., Li, J., Wu, T. & Zheng, B., May 10 2018, (Accepted/In press) In : Annals of Biomedical Engineering. p. 1-13 13 p.

Research output: Contribution to journalArticle

Computer aided diagnosis
Mammography
Multilayer neural networks
Learning systems
Classifiers
4 Citations (Scopus)

Computed Tomography-Based Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinoma

Ranjbar, S., Ning, S., Zwart, C. M., Wood, C. P., Weindling, S. M., Wu, T., Ross Mitchell, J., Li, J. & Hoxworth, J. M., Mar 1 2018, In : Journal of Computer Assisted Tomography. 42, 2, p. 299-305 7 p.

Research output: Contribution to journalArticle

Squamous Cell Carcinoma
Tomography
Papillomavirus Infections
Neck
Machine Learning
3 Citations (Scopus)

Computer-aided classification of breast masses using contrast-enhanced digital mammograms

Danala, G., Aghaei, F., Heidari, M., Wu, T., Patel, B. & Zheng, B., Jan 1 2018, Medical Imaging 2018: Computer-Aided Diagnosis. SPIE, Vol. 10575. 105752K

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

Mammography
breast
Breast
Area Under Curve
energy
11 Citations (Scopus)

Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study

Patel, B. K., Ranjbar, S., Wu, T., Pockaj, B. A., Li, J., Zhang, N., Lobbes, M., Zhang, B. & Mitchell, J. R., Jan 1 2018, In : European Journal of Radiology. 98, p. 207-213 7 p.

Research output: Contribution to journalArticle

Feasibility Studies
Mammography
Breast
Research Ethics Committees
Radiologists

Integration of biological and statistical models toward personalized radiation therapy of cancer

Liu, X., Fatyga, M., Wu, T. & Li, J., Jan 1 2018, (Accepted/In press) In : IISE Transactions.

Research output: Contribution to journalArticle

Radiotherapy
Tissue
Radiation
Statistical Models
Parameter estimation
3 Citations (Scopus)

Learning–interaction–diversification framework for swarm intelligence optimizers: a unified perspective

Chu, X., Wu, T., Weir, J. D., Shi, Y., Niu, B. & Li, L., Jan 1 2018, (Accepted/In press) In : Neural Computing and Applications.

Research output: Contribution to journalArticle

Psychology computing
Swarm intelligence
Experiments
8 Citations (Scopus)

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis

Gao, F., Wu, T., Li, J., Zheng, B., Ruan, L., Shang, D. & Patel, B., Dec 1 2018, In : Computerized Medical Imaging and Graphics. 70, p. 53-62 10 p.

Research output: Contribution to journalArticle

Mammography
Breast Neoplasms
Neural networks
Area Under Curve
Imaging techniques
5 Citations (Scopus)

Sub-classifying patients with mild traumatic brain injury: A clustering approach based on baseline clinical characteristics and 90-day and 180-day outcomes

Si, B., Dumkrieger, G., Wu, T., Zafonte, R., Valadka, A. B., Okonkwo, D. O., Manley, G. T., Wang, L., Dodick, D. W., Schwedt, T. J. & Li, J., Jul 1 2018, In : PLoS One. 13, 7, e0198741.

Research output: Contribution to journalArticle

Brain Concussion
Cluster Analysis
Brain
brain
Blood pressure
8 Citations (Scopus)

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease

Liu, X., Chen, K., Wu, T., Weidman, D., Lure, F. & Li, J., Apr 1 2018, In : Translational Research. 194, p. 56-67 12 p.

Research output: Contribution to journalReview article

Artificial Intelligence
Artificial intelligence
Alzheimer Disease
Imaging techniques
Positrons
2017
1 Citation (Scopus)

A clinical decision support system using multi-modality imaging data for disease diagnosis

Gaw, N., Schwedt, T. J., Chong, C. D., Wu, T. & Li, J., Nov 30 2017, (Accepted/In press) In : IISE Transactions on Healthcare Systems Engineering. p. 1-11 11 p.

Research output: Contribution to journalArticle

Clinical Decision Support Systems
multimodality
Diagnostic Imaging
Decision support systems
Disease

A sparse partitioned-regression model for nonlinear system-environment interactions

Ning, S., Byon, E., Wu, T. & Li, J., 2017, In : IISE Transactions. 49, 8, p. 814-826 13 p.

Research output: Contribution to journalArticle

Nonlinear systems
Energy utilization
Experiments
2 Citations (Scopus)

Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization

Niu, B., Liu, J., Wu, T., Chu, X. H., Wang, Z. X. & Liu, Y. M., Aug 26 2017, (Accepted/In press) In : IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research output: Contribution to journalArticle

Foraging
Bacteria
Optimization
Elimination
Benchmarking
2 Citations (Scopus)

Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data

Gao, F., Li, J., Wu, T., Chen, K., Lure, F. & Weidman, D., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc., p. 547-551 5 p. 8031210

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

Alzheimer Disease
Biomarkers
Fluorine
Amyloid
Neuroimaging

Integration of multiple health information systems for quality improvement of radiologic care

Wang, K., Zwart, C., Wellnitz, C., Wu, T. & Li, J., Jul 3 2017, In : IISE Transactions on Healthcare Systems Engineering. 7, 3, p. 169-180 12 p.

Research output: Contribution to journalArticle

Health Information Systems
Radiology
Quality Improvement
health information
information system
18 Citations (Scopus)

Migraine classification using magnetic resonance imaging resting-state functional connectivity data

Chong, C. D., Gaw, N., Fu, Y., Li, J., Wu, T. & Schwedt, T. J., Aug 1 2017, In : Cephalalgia. 37, 9, p. 828-844 17 p.

Research output: Contribution to journalArticle

Migraine Disorders
Magnetic Resonance Imaging
Brain
Neuroimaging
Magnetic Resonance Spectroscopy
3 Citations (Scopus)

Migraine Subclassification via a Data-Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements

Schwedt, T. J., Si, B., Li, J., Wu, T. & Chong, C. D., 2017, (Accepted/In press) In : Headache.

Research output: Contribution to journalArticle

Migraine Disorders
Brain
Hyperalgesia
Magnetic Resonance Imaging
Headache

MR efficiency using automated MRI-desktop eProtocol

Gao, F., Xu, Y., Panda, A., Zhang, M., Hanson, J., Su, C., Wu, T., Pavlicek, W. & James, J. R., 2017, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications. SPIE, Vol. 10138. 101380Z

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

radiology
Radiology
Magnetic resonance imaging
education
platforms
9 Citations (Scopus)

Mri-based texture analysis to differentiate sinonasal squamous cell carcinoma from inverted papilloma

Ramkumar, S., Ranjbar, S., Ning, S., Lal, D., Zwart, C. M., Wood, C. P., Weindling, S. M., Wu, T., Mitchell, J. R., Li, J. & Hoxworth, J. M., May 1 2017, In : American Journal of Neuroradiology. 38, 5, p. 1019-1025 7 p.

Research output: Contribution to journalArticle

Inverted Papilloma
Squamous Cell Carcinoma
Neoplasms
Papilloma
Tumor Burden
47 Citations (Scopus)

Radiogenomics to characterize regional genetic heterogeneity in glioblastoma

Hu, L. S., Ning, S., Eschbacher, J. M., Baxter, L. C., Gaw, N., Ranjbar, S., Plasencia, J., Dueck, A. C., Peng, S., Smith, K. A., Nakaji, P., Karis, J. P., Quarles, C. C., Wu, T., Loftus, J. C., Jenkins, R. B., Sicotte, H., Kollmeyer, T. M., O'Neill, B. P., Elmquist, W. & 7 others, Hoxworth, J. M., Frakes, D., Sarkaria, J., Swanson, K. R., Tran, N. L., Li, J. & Mitchell, J. R., 2017, In : Neuro-Oncology. 19, 1, p. 128-137 10 p.

Research output: Contribution to journalArticle

Genetic Heterogeneity
Glioblastoma
erbB-1 Genes
Neoplasms
Biopsy
2 Citations (Scopus)

Rapid kV-switching single-source dual-energy CT ex vivo renal calculi characterization using a multiparametric approach: refining parameters on an expanded dataset

Kriegshauser, J. S., Paden, R. G., He, M., Humphreys, M. R., Zell, S. I., Fu, Y., Wu, T., Sugi, M. D. & Silva, A. C., Sep 26 2017, (Accepted/In press) In : Abdominal Radiology. p. 1-7 7 p.

Research output: Contribution to journalArticle

Kidney Calculi
Tomography
Kidney
Decision Trees
Calcium Oxalate
2016
2 Citations (Scopus)

3D small structure detection in medical image using texture analysis

Gao, F., Zhang, M., Wu, T. & Bennett, K. M., Oct 13 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 6433-6436 4 p. 7592201

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

Image texture
Detectors
Entropy
Research
Names
4 Citations (Scopus)

Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Odonkor, P., Lewis, K., Wen, J. & Wu, T., Jun 1 2016, In : Journal of Mechanical Design, Transactions Of the ASME. 138, 6, 061405.

Research output: Contribution to journalArticle

Energy resources
Simulators
Costs
16 Citations (Scopus)

A recommendation system for meta-modeling: A meta-learning based approach

Cui, C., Hu, M., Weir, J. D. & Wu, T., Mar 15 2016, In : Expert Systems with Applications. 46, p. 33-44 12 p.

Research output: Contribution to journalArticle

Recommender systems
Singular value decomposition

Computational efficient Variational Bayesian Gaussian Mixture Models via Coreset

Zhang, M., Fu, Y., Bennett, K. M. & Wu, T., Aug 16 2016, IEEE CITS 2016 - 2016 International Conference on Computer, Information and Telecommunication Systems. Institute of Electrical and Electronics Engineers Inc., 7546405

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

Clustering algorithms
Rats
15 Citations (Scopus)

Efficient Small Blob Detection Based on Local Convexity, Intensity and Shape Information

Zhang, M., Wu, T., Beeman, S. C., Cullen-McEwen, L., Bertram, J. F., Charlton, J. R., Baldelomar, E. & Bennett, K. M., Apr 1 2016, In : IEEE Transactions on Medical Imaging. 35, 4, p. 1127-1137 11 p., 7359134.

Research output: Contribution to journalArticle

Kidney Glomerulus
Magnetic resonance imaging
Kidney
Unsupervised learning
Nephrons
1 Citation (Scopus)

Evaluating individual learning effectiveness on project-based learning methodology by comparing team-based and individually assigned projects

Tseng, T. L. B., Akundi, A., Wu, T., Lin, Y. & Jack, H., Jun 26 2016, 2016 ASEE Annual Conference and Exposition. American Society for Engineering Education, Vol. 2016-June.

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

Students
Engineering education
Mechanical engineering
Curricula
Engineers

Intervention strategies for the department of defense acquisition process

Worger, D., Jalao, E. R., Wirthlin, J. R., Colombi, J. & Wu, T., 2016, In : Journal of Defense Modeling and Simulation. 13, 2, p. 139-151 13 p.

Research output: Contribution to journalArticle

Discrete event simulation
Contractors
Process Mean
Process Variation
Completion Time
2 Citations (Scopus)

Prism-based single-camera system for stereo display

Zhao, Y., Cui, X., Wang, Z., Chen, H., Fan, H. & Wu, T., Jun 1 2016, In : Optical Engineering. 55, 6, 063106.

Research output: Contribution to journalArticle

Prisms
prisms
Cameras
Display devices
cameras
33 Citations (Scopus)

Short-term building energy model recommendation system: A meta-learning approach

Cui, C., Wu, T., Hu, M., Weir, J. D. & Li, X., Jun 15 2016, In : Applied Energy. 172, p. 251-263 13 p.

Research output: Contribution to journalArticle

Recommender systems
learning
energy
Energy utilization
recommendation
3 Citations (Scopus)

Use of cationized ferritin nanoparticles to measure renal glomerular microstructure with MRI

Bennett, K. M., Beeman, S. C., Baldelomar, E. J., Zhang, M., Wu, T., Hann, B. D., Bertram, J. F. & Charlton, J. R., 2016, Methods in Molecular Biology. Humana Press Inc., Vol. 1397. p. 67-79 13 p. (Methods in Molecular Biology; vol. 1397).

Research output: Chapter in Book/Report/Conference proceedingChapter

Nanoparticles
Ferritins
Magnetic Resonance Imaging
Kidney
Contrast Media
2015
3 Citations (Scopus)

Accuracy vs. robustness: Bi-criteria optimized ensemble of metamodels

Cui, C., Wu, T., Hu, M., Weir, J. D. & Chu, X., Jan 23 2015, Proceedings - Winter Simulation Conference. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-January. p. 616-627 12 p. 7019926

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

Bicriteria
Metamodel
Ensemble
Robustness
Surrogate Model
33 Citations (Scopus)

Accurate classification of chronic migraine via brain magnetic resonance imaging

Schwedt, T. J., Chong, C. D., Wu, T., Gaw, N., Fu, Y. & Li, J., Jun 1 2015, In : Headache. 55, 6, p. 762-777 16 p.

Research output: Contribution to journalArticle

Migraine Disorders
Magnetic Resonance Imaging
Brain
Headache
Prefrontal Cortex
5 Citations (Scopus)

A novel Hessian based algorithm for rat kidney glomerulus detection in 3D MRI

Zhang, M., Wu, T. & Bennett, K. M., 2015, Medical Imaging 2015: Image Processing. SPIE, Vol. 9413. 94132N

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

glomerulus
Kidney Glomerulus
kidneys
Magnetic resonance
rats
3 Citations (Scopus)

DICOM index tracker enterprise: Advanced system for enterprise-wide quality assurance and patient safety monitoring

Zhang, M., Pavlicek, W., Panda, A., Langer, S. G., Morin, R., Fetterly, K. A., Paden, R., Hanson, J., Wu, L. W. & Wu, T., 2015, Progress in Biomedical Optics and Imaging - Proceedings of SPIE. SPIE, Vol. 9418. 94180L

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

Digital Imaging and Communications in Medicine (DICOM)
Physiologic Monitoring
assurance
Patient Safety
Quality assurance
3 Citations (Scopus)

Ex Vivo Renal Stone Characterization with Single-Source Dual-Energy Computed Tomography: A Multiparametric Approach

Kriegshauser, J. S., Silva, A. C., Paden, R. G., He, M., Humphreys, M. R., Zell, S. I., Fu, Y. & Wu, T., Aug 7 2015, (Accepted/In press) In : Academic Radiology.

Research output: Contribution to journalArticle

Tomography
Kidney
Calcium Oxalate
Kidney Calculi
Cystine
22 Citations (Scopus)

Magnetic resonance elastography: evaluation of new inversion algorithm and quantitative analysis method

Silva, A. M., Grimm, R. C., Glaser, K. J., Fu, Y., Wu, T., Ehman, R. L. & Silva, A. C., Apr 1 2015, In : Abdominal Imaging. 40, 4, p. 810-817 8 p.

Research output: Contribution to journalArticle

Elasticity Imaging Techniques
Masks
Liver
Liver Diseases
Chronic Disease
32 Citations (Scopus)

MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma

Dang, M., Lysack, J. T., Wu, T., Matthews, T. W., Chandarana, S. P., Brockton, N. T., Bose, P., Bansal, G., Cheng, H., Mitchell, J. R. & Dort, J. C., Jan 1 2015, In : American Journal of Neuroradiology. 36, 1, p. 166-170 5 p.

Research output: Contribution to journalArticle

Squamous Cell Carcinoma
Tumor Biomarkers
Neoplasms
Statistical Models
Head and Neck Neoplasms
41 Citations (Scopus)

Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma

Hu, L. S., Ning, S., Eschbacher, J. M., Gaw, N., Dueck, A. C., Smith, K. A., Nakaji, P., Plasencia, J., Ranjbar, S., Price, S. J., Tran, N., Loftus, J., Jenkins, R., O'Neill, B. P., Elmquist, W., Baxter, L. C., Gao, F., Frakes, D., Karis, J. P., Zwart, C. & 5 others, Swanson, K. R., Sarkaria, J., Wu, T., Mitchell, J. R. & Li, J., Nov 1 2015, In : PLoS One. 10, 11, e0141506.

Research output: Contribution to journalArticle

Glioblastoma
Magnetic resonance imaging
Tumors
Textures
texture
10 Citations (Scopus)

Perspective projection model for prism-based stereovision

Cui, X., Zhao, Y., Lim, K. & Wu, T., Oct 19 2015, In : Optics Express. 23, 21, p. 27542-27557 16 p.

Research output: Contribution to journalArticle

prisms
projection
lenses
geometry
22 Citations (Scopus)

Phenotyping by magnetic resonance imaging nondestructively measures glomerular number and volume distribution in mice with and without nephron reduction

Baldelomar, E. J., Charlton, J. R., Beeman, S. C., Hann, B. D., Cullen-McEwen, L., Pearl, V. M., Bertram, J. F., Wu, T., Zhang, M. & Bennett, K. M., Nov 4 2015, (Accepted/In press) In : Kidney International.

Research output: Contribution to journalArticle

Nephrons
Magnetic Resonance Imaging
Kidney
Chronic Renal Insufficiency
Population