• 911 Citations
  • 16 h-Index
19962019
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Research Output 1996 2019

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Conference contribution
2016
2 Citations (Scopus)

Gel dosimetry enables volumetric evaluation of dose distributions from an MR-guided linac

Ibbott, G. S., Roed, Y., Lee, H., Alqathami, M., Wang, J., Pinsky, L. & Blencowe, A., Jun 17 2016, Medical Physics: 14th Mexican Symposium on Medical Physics. Avila-Rodriguez, M. A., Massillon-JL, G., Rosado-Mendez, I. M., Lopez-Perez, D. O. & Fossion, R. (eds.). American Institute of Physics Inc., 040002. (AIP Conference Proceedings; vol. 1747).

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

dosimeters
gels
dosage
evaluation
penumbras
2015
3 Citations (Scopus)

A comparative study of two prediction models for brain tumor progression

Zhou, D., Tran, L., Wang, J. & Li, J., Jan 1 2015, Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XIII. Gotchev, A. P., Agaian, S. S. & Egiazarian, K. O. (eds.). SPIE, 93990W. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9399).

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

Brain Tumor
Manifold Learning
Progression
progressions
Prediction Model
2013
1 Citation (Scopus)

Large-scale manifold learning using an adaptive sparse neighbor selection approach for brain tumor progression prediction

Tran, L., McKenzie, F., Wang, J. & Li, J., Jan 1 2013, Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Proceedings. Springer Verlag, p. 219-226 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8184 LNCS).

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

Brain Tumor
Manifold Learning
Progression
Tumors
Brain
2011
2 Citations (Scopus)

A large-scale manifold learning approach for brain tumor progression prediction

Tran, L., Banerjee, D., Sun, X., Wang, J., Kumar, A. J., Vinning, D., McKenzie, F. D., Li, Y. & Li, J., Oct 17 2011, Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Proceedings. p. 265-272 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7009 LNCS).

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

Brain Tumor
Manifold Learning
Progression
Tumors
Brain

Histogram analysis of ADC in brain tumor patients

Banerjee, D., Wang, J. & Li, J., May 13 2011, Medical Imaging 2011: Physics of Medical Imaging. 79613V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7961).

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

histograms
Brain Neoplasms
brain
Tumors
Brain
1 Citation (Scopus)

Prediction of brain tumor progression using multiple histogram matched MRI scans

Banerjee, D., Tran, L., Li, J., Shen, Y., McKenzie, F. & Wang, J., May 13 2011, Medical Imaging 2011: Computer-Aided Diagnosis. Vol. 7963. 79632U

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

histograms
Brain Neoplasms
progressions
brain
Tumors
2010
1 Citation (Scopus)

Prediction of brain tumor progression using a machine learning technique

Shen, Y., Banerjee, D., Li, J., Chandler, A., Shen, Y., McKenzie, F. D. & Wang, J., Jan 1 2010, Medical Imaging 2010: Computer-Aided Diagnosis. Summers, R. M. & Karssemeijer, N. (eds.). SPIE, 762425. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7624).

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

machine learning
Brain Neoplasms
progressions
brain
Learning systems
2009

Using CSF as an internal quality assurance tool in diffusion tensor imaging studies of brain tumor

Wang, J., Shen, Y., de Groot, J. F., Shen, Y. & Li, J., Jun 22 2009, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 7262. 726203

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

Diffusion tensor imaging
Diffusion Tensor Imaging
assurance
Quality assurance
Brain Neoplasms