Research output per year
Research output per year
Search results
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2016
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 proceeding › Conference contribution
Open Access4 Scopus citations -
2015
A comparative study of two prediction models for brain tumor progression
Zhou, D., Tran, L., Wang, J. & Li, J., 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 proceeding › Conference contribution
4 Scopus citations -
2013
Large-scale manifold learning using an adaptive sparse neighbor selection approach for brain tumor progression prediction
Tran, L., McKenzie, F., Wang, J. & Li, J., 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 proceeding › Conference contribution
1 Scopus citations -
2011
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., 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 proceeding › Conference contribution
3 Scopus citations -
Histogram analysis of ADC in brain tumor patients
Banerjee, D., Wang, J. & Li, J., 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 proceeding › Conference contribution
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Prediction of brain tumor progression using multiple histogram matched MRI scans
Banerjee, D., Tran, L., Li, J., Shen, Y., McKenzie, F. & Wang, J., 2011, Medical Imaging 2011: Computer-Aided Diagnosis. 79632U. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7963).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
2010
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., 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 proceeding › Conference contribution
1 Scopus citations -
2009
Using CSF as an internal quality assurance tool in diffusion tensor imaging studies of brain tumor
Wang, J., Shen, Y., Degroot, J., Shen, Y. & Li, J., 2009, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging. 726203. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7262).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution