Publications

4. Publications

[odenPres09] Oden, J. T. (2009). Mixed finite element methods for predictive phase-field models of tumor growth. MAFELAP 2009, Brunel University, Uxbridge, United Kingdom. Conference Presentation. [ bib ]
[fuentesetal09b] Fuentes, D., Oden, J. T., Diller, K. R., Elliott, A., Feng, Y., Hazle, J. D., Shetty, A., , and Stafford, R. J. (2009b). Dynamic Data Driven Application Systems, chapter Computational and MR-guided Patient-Specific Laser Induced Thermal Therapy of Cancer. Springer. submitted for publication. [ bib ]
[fuentesetal09] Fuentes, D., Feng, Y., Elliott, A., Shetty, A., McNichols, R. J., Oden, J. T., and Stafford, R. J. (2009a). Adaptive real-time bioheat transfer models for computer driven mr-guided laser induced thermal therapy. IEEE Trans. BME. submitted for publication. [ bib.pdf ]
[Fuentesetal08] Fuentes, D., Oden, J. T., Diller, K. R., Hazle, J., Elliott, A., , Shetty, A., and Stafford, R. J. (2009c). Computational modeling and real-time control of patient-specific laser treatment cancer. Ann. BME., 37(4):763. [ bib |DOI.pdf ]
[Fengetal08] Feng, Y., Fuentes, D., Hawkins, A., Bass, J., and Rylander, M. N. (2009a). Model-based optimization and real-time control for laser treatment of heterogeneous soft tissues. CMAME, 198(21-26):1742-1750. Advances in Simulation-Based Engineering Sciences Special Issue Honoring Prof. J. Tinsley Oden. [ bib.pdf ]
[Fengetal07] Feng, Y., Fuentes, D., Hawkins, A., Bass, J., Rylander, M. N., Elliott, A., Shetty, A., Stafford, R. J., and Oden, J. T. (2009b). Nanoshell-mediated laser surgery simulation for prostate cancer treatment. Engineering with Computers, 25(1):3-13. [ bibDOI.pdf ]
[zhang2009surface] Zhang, Y., Bajaj, C., and Xu, G. (2009). Surface smoothing and quality improvement of quadrilateral/hexahedral meshes with geometric flow http://cvcweb. ices. utexas. edu/cvc/meshing/quadhexgf/index. html.Communications in Numerical Methods in Engineering, 25(1). [ bib ]
[fuentes08b] Oden, J. T. and Fuentes, D. (2008). Computational modeling and real-time control of patient-specific laser treatment of cancer. Seventh Interventional MRI Symposium. Baltimore, Maryland, Conference Presentation. [ bib |.pdf ]
[fuentes08] Fuentes, D. (2008). Remote laser cancer surgery: A minimally invasive alternative to the standard treatment. The Austin Forum. Austin, Texas, Invited Presentation. [ bib.pdf ]
[Fengetal08b] Feng, Y., Fuentes, D., Hawkins, A., and Oden, J. (2008a). MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques. volume 2, pages 168-172. [ bib |DOI.pdf ]
[bajajetal08] Bajaj, C., Liu, L., Deasy, J. O., Low, D. A., and Ju, T. (2008a). Surface reconstruction from non-parallel curve networks. In NIHMSID: 87567. PMC Journal in Process, volume 27, pages 155-163. [ bib ]
[Odenetal08] Oden, J. T., Fuentes, D., Bass, J., and Feng, Y. (2008). Dynamic-data-driven systems aid patient-specific cancer therapy. spie.org. [ bibDOI.pdf ]
[TACC08] Dubrow, A. (2008). TACC supercomputer performs laser cancer surgery on canine. http://www.tacc.utexas.edu/research/users/features/dynamic.php?m_b_c=laser. [ bibhttp ]
[Dilleretal07] Diller, K. R., Oden, J. T., Bajaj, C., Browne, J. C., Hazle, J., Babuška, I., Bass, J., Bidaut, L., Demkowicz, L., Elliott, A., Feng, Y., Fuentes, D., Goswami, S., Hawkins, A., Khoshnevis, S., Kwon, B., Prudhomme, S., and Stafford, R. J. (2008). Advances in Numerical Heat Transfer, volume 3: Numerical Implementation of Bioheat Models and Equations, chapter 9: Computational Infrastructure for the Real-Time Patient-Specific Treatment of Cancer. Taylor & Francis Group. [ bib.pdf ]
[JBME07] Feng, Y., Oden, J. T., and Rylander, M. (2008b). A statistical thermodynamics based cell damage models and its validation in vitro. J. Biomech. Eng., 130(041016):1-10. [ bib ]
[bajaj2008modeling] Bajaj, C. and Goswami, S. (2008a). Modeling Cardiovascular Anatomy from Patient-Specific Imaging. Advances in Computational Vision and Medical Image Processing: Methods and Applications, page 1. [ bib ]
[bajaj2008multi] Bajaj, C. and Goswami, S. (2008b). Multi-component heart reconstruction from volumetric imaging. In Proceedings of the 2008 ACM symposium on Solid and physical modeling, pages 193-202. ACM New York, NY, USA. [ bib ]
[bajaj2008physically] Bajaj, C., Zhang, Y., and Xu, G. (2008b). Physically-Based Surface Texture Synthesis Using a Coupled Finite Element System. Lecture Notes in Computer Science, 4975:344. [ bib ]
[garimella2008proceedings] Bajaj, C. and Gillette, A. (2008). Quality Meshing of a Forest of Branching Structures. In Garimella, R., editor, Proceedings of the 17th International Meshing Roundtable, pages 433-449. Springer. [ bib ]
[fuentes07] Fuentes, D. (2007). A data driven application system for laser treatment of cancer. National Congress on Computational Mechanics. San Francisco, California, Conference Presentation. [ bib.pdf ]
[hawkins07] Hawkins, A. (2007). A sensitivity study of the pennes bioheat transfer model to source term parameters. National Congress on Computational Mechanics. San Francisco, California, Conference Presentation. [ bib ]
[feng07] Feng, Y. (2007b). Modeling bioheat transfer and cell damage under hyperthermia condition in human prostate. National Congress on Computational Mechanics. San Francisco, California, Conference Presentation. [ bib ]
[demkowicz07b] Demkowicz, L. (2007b). hp-adaptive finite elements, moving forward. geometry reconstruction and coupled problems. Invited seminar, Stanislaw Staszic University of Science and Technology, Cracow, Poland. [ bib ]
[bajaj07] Bajaj, C. (2007). Using cyber-infrastructure for dynamic data driven laser treatment of cancer. ICCS 2007: Advancing Science and Society through Computation, Beijing, China, Conference Presentation. [ bib ]
[feng07b] Feng, Y. (2007a). Cell damage based optimization and real-time control of laser surgery for prostate tumor. CAIMS, Banff, Canada. Conference Presentation. [ bib ]
[feng07c] Feng, Y. (2007c). To kill or not to kill: On fundamental issues of thermal therapies for cancer treatment. Joint Annual Meeting of Society for Thermal Medicine and World Conference on Interventional Oncology, Washington D.C., Conference Presentation. [ bib ]
[demkowicz07] Demkowicz, L. (2007a). hp-adaptive finite elements, moving forward. geometry reconstruction and coupled problems. Invited keynote talk, International Workshop on High-Order Finite Element Methods, Herrsching am Ammersee, Germany, Conference Presentation. [ bib ]
[Odenetal07] Oden, J. T., Diller, K. R., Bajaj, C., Browne, J. C., Hazle, J., Babuška, I., Bass, J., Demkowicz, L., Feng, Y., Fuentes, D., Prudhomme, S., Rylander, M. N., Stafford, R. J., and Zhang, Y. (2007). Dynamic data-driven finite element models for laser treatment of prostate cancer. Num. Meth. PDE,, 23(4):904-922. [ bib.pdf ]
[Bajaetal07] Bajaj, C., Oden, J. T., Diller, K. R., Browne, J. C., Hazle, J., Babuska, I., Bass, J., Bidaut, L., Demkowicz, L., Elliott, A., Feng, Y., Fuentes, D., Prudhomme, S., Stafford, R. J., and Zhang, Y. (2007). Using cyber-infrastructure for dynamic data driven laser treatment of cancer. In PROCEEDINGS LECTURE NOTES IN COMPUTER SCIENCE, volume 4487, pages 972-979. [ bib.pdf ]
[Rylanderetal07] Rylander, M. N., Feng, Y., Bass, J., and Diller, K. (2007). Heat shock protein expression and damage optimization for laser therapy design. Lasers in Surgery and Medicine, 39:731-746. [ bib ]
[zhang2007patient] Zhang, Y., Bazilevs, Y., Goswami, S., Bajaj, C., and Hughes, T. (2007). Patient-specific vascular NURBS modeling for isogeometric analysis of blood flow. Computer Methods in Applied Mechanics and Engineering, 196(29-30):2943-2959. [ bib ]
[Prudhomme06] Prudhomme, S. (2006). A dynamic data-driven system for laser treatment of cancer. SC06 Conference, Tampa, Florida. [ bib ]
[FengPres06e] Feng, Y. (2006e). Toward real-time optimal control of laser surgery for cancer treatment: A mathematical and computational framework. Joint SIAM-SMB Conference on Life Sciences, Raleigh, NC. Conference Presentation. [ bib ]
[FengPres06d] Feng, Y. (2006c). Prediction of cancer treatment outcome for laser surgery of prostate cancer. Joint SIAM-SMB Conference on Life Sciences, Raleigh, NC. Conference Presentation. [ bib ]
[fuentes06] Fuentes, D. (2006). Development of a computational paradigm for laser treatment of cancer. World Congress on Computational Mechanics. Los Angeles, California, Conference Presentation. [ bib.pdf ]
[FengPres06b] Feng, Y. (2006d). Prediction of cancer treatment outcome for nanoshell-mediated laser surgery using adaptive finite element method. Seventh World Congress on Computational Mechanics, Los Angeles, CA. Conference Presentation. [ bib ]
[oden06] Oden, J. T. (2006b). Dynamic data-driven finite element models for laser treatment of prostate cancer. MAFELAP 2006: The Mathematics of Finite Elements and Applications. Brunel University, Uxbridge, England, Conference Presentation. [ bib.pdf ]
[diller06] Diller, K. R. (2006). A dynamic data-driven system for laser treatment of cancer. International Conference on Computational Science Reading, U.K. Conference Presentation. [ bib ]
[FengPres06c] Feng, Y. (2006a). Optimization of laser surgery for cancer treatment: Are we barking at the wrong tree? Texas Finite Element Rodeo, College Station, Texas. Conference Presentation. [ bib ]
[Odenetal06] Oden, J. T., Diller, K. R., Bajaj, C., Browne, J. C., Hazle, J., Babuska, I., Bass, J., Demkowicz, L., Elliott, A., Feng, Y., Fuentes, D., Prudhomme, S., Rylander, M. N., Stafford, R. J., and Zhang, Y. (2006). Development of a computational paradigm for laser treatment of cancer. In PROCEEDINGS LECTURE NOTES IN COMPUTER SCIENCE, volume 3993, pages 530-537. [ bib.pdf ]
[Demkowicz06] Demkowicz, L. (2006). A dynamic data-driven system for laser treatment of cancer. Dynamic Data-Driven Application Systems Workshop. National Science Foundation, Washington D.C. Conference Presentation. [ bib |.pdf ]
[FengPres06] Feng, Y. (2006b). Perfusion effect of vasculature in bio-heat transfer and laser treatment of prostate cancer. Annual conference of Society of Thermal Medicine, Washington D.C. Conference Presentation. [ bib ]
[OdenPres06] Oden, J. T. (2006a). Dynamic data-driven application systems workshop. a dynamic data-driven system for laser treatment of cancer. National Science Foundation, Washington D.C. Conference Presentation. [ bib ]