Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Duke University 1990
• 

  Previous Appointments & Affiliations

  • Member of Duke Cancer Institute, Duke Cancer Institute, Institutes and Centers 2013 - 2015
  • Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2009 - 2014
  • Member of the Duke Cancer Institute, Duke Cancer Institute, Institutes and Centers 1987 - 2012
  • Associate Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2007 - 2009
  • Associate Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2006 - 2007
  • Associate Research Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2001 - 2006
  • Assistant Professor in Radiation Oncology, Radiation Oncology, Clinical Science Departments 1995 - 2001
• Research
• 

  Selected Grants

  • Accurate, High Resolution 3D Dosimetry awarded by National Institutes of Health 2004 - 2013
  • Cross-disciplinary Training in Medical Physics awarded by National Institutes of Health 2007 - 2013
  • Image-Guided Radiation Therapy and Radiosurgery for Small Animals awarded by National Institutes of Health 2009 - 2011
  • Accurate Models for Predicting Radiation-Induced Injury awarded by National Institutes of Health 2006 - 2011
  • Radiation-Induced Cardiopulmonary Injury in Humans awarded by National Institutes of Health 1996 - 2008
  • Unified Approach to Hyperthermia Modeling and Planning awarded by National Institutes of Health 2000 - 2002
  • A Unfied Approach To Hyperthermia Modeling And Planning awarded by National Institutes of Health 1996 - 1999
  • Unified Approach to Hyperthermia Modeling and Planning. awarded by National Institutes of Health 1996 - 1999
  • Hyperthermia And Perfusion Effects In Cancer Therapy awarded by National Institutes of Health 1995 - 1999
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Kong, Feng-Ming Spring, Vitali Moiseenko, Jing Zhao, Michael T. Milano, Ling Li, Andreas Rimner, Shiva Das, et al. “Organs at Risk Considerations for Thoracic Stereotactic Body Radiation Therapy: What Is Safe for Lung Parenchyma?” Int J Radiat Oncol Biol Phys 110, no. 1 (May 1, 2021): 172–87. https://doi.org/10.1016/j.ijrobp.2018.11.028.
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    • Williamson, Jeffrey F., Shiva K. Das, and Mitchell M. Goodsitt. “Farewell Editorial: Jeffrey F. Williamson Editor-in-Chief, Shiva K. Das Therapy Physics Editor, Mitchell M. Goodsitt Imaging Physics Editor.” Med Phys 47, no. 12 (December 2020): 5969–71. https://doi.org/10.1002/mp.14578.
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    • El Naqa, Issam, and Shiva Das. “The role of machine and deep learning in modern medical physics.” Med Phys 47, no. 5 (June 2020): e125–26. https://doi.org/10.1002/mp.14088.
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    • Hammers, Jacob E., Sara Pirozzi, Daniel Lindsay, Orit Kaidar-Person, Xianming Tan, Ronald C. Chen, Shiva K. Das, and Panayiotis Mavroidis. “Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT.” J Appl Clin Med Phys 21, no. 2 (February 2020): 14–25. https://doi.org/10.1002/acm2.12787.
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    • Mullins, Brandon T., Ross McGurk, Ronald W. McLeod, Daniel Lindsay, Alison Amos, Deen Gu, Bhishamjit S. Chera, Lawrence Marks, Shiva Das, and Lukasz Mazur. “Human Error Bowtie Analysis to Enhance Patient Safety in Radiation Oncology.” Pract Radiat Oncol 9, no. 6 (November 2019): 465–78. https://doi.org/10.1016/j.prro.2019.06.022.
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    • Yoon, Won Sup, Shiva K. Das, and Lawrence B. Marks. “The Impact of Set-Up Uncertainty on Dose-Response Estimates.” Int J Radiat Oncol Biol Phys 105, no. 3 (November 1, 2019): 477–78. https://doi.org/10.1016/j.ijrobp.2019.07.007.
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    • Das, Shiva K., Ross McGurk, Moyed Miften, Sasa Mutic, James Bowsher, John Bayouth, Yusuf Erdi, et al. “Task Group 174 Report: Utilization of [18 F]Fluorodeoxyglucose Positron Emission Tomography ([18 F]FDG-PET) in Radiation Therapy.” Med Phys 46, no. 10 (October 2019): e706–25. https://doi.org/10.1002/mp.13676.
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    • Pillai, Malvika, Karthik Adapa, Shiva K. Das, Lukasz Mazur, John Dooley, Lawrence B. Marks, Reid F. Thompson, and Bhishamjit S. Chera. “Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.” J Am Coll Radiol 16, no. 9 Pt B (September 2019): 1267–72. https://doi.org/10.1016/j.jacr.2019.06.001.
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    • Hong, Julian C., Yunfeng Cui, Bhavik N. Patel, Christel N. Rushing, Austin M. Faught, Jared S. Eng, Kyle Higgins, et al. “Association of Interim FDG-PET Imaging During Chemoradiation for Squamous Anal Canal Carcinoma With Recurrence.” Int J Radiat Oncol Biol Phys 102, no. 4 (November 15, 2018): 1046–51. https://doi.org/10.1016/j.ijrobp.2018.04.062.
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    • Mavroidis, Panayiotis, Jimm Grimm, Mustafa Cengiz, Shiva Das, Xianming Tan, Gozde Yazici, and Gokhan Ozyigit. “Fitting NTCP models to SBRT dose and carotid blowout syndrome data.” Med Phys 45, no. 10 (October 2018): 4754–62. https://doi.org/10.1002/mp.13121.
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    • Rankine, Leith J., Ziyi Wang, Bastiaan Driehuys, Lawrence B. Marks, Chris R. Kelsey, and Shiva K. Das. “Correlation of Regional Lung Ventilation and Gas Transfer to Red Blood Cells: Implications for Functional-Avoidance Radiation Therapy Planning.” Int J Radiat Oncol Biol Phys 101, no. 5 (August 1, 2018): 1113–22. https://doi.org/10.1016/j.ijrobp.2018.04.017.
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    • Samei, Ehsan, Todd Pawlicki, Daniel Bourland, Erika Chin, Shiva Das, Mary Fox, D Jay Freedman, et al. “Redefining and reinvigorating the role of physics in clinical medicine: A Report from the AAPM Medical Physics 3.0 Ad Hoc Committee.” Med Phys, July 10, 2018. https://doi.org/10.1002/mp.13087.
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    • Jaffray, David A., Shiva Das, Paula M. Jacobs, Robert Jeraj, and Philippe Lambin. “How Advances in Imaging Will Affect Precision Radiation Oncology.” Int J Radiat Oncol Biol Phys 101, no. 2 (June 1, 2018): 292–98. https://doi.org/10.1016/j.ijrobp.2018.01.047.
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    • Mazur, L. M., L. B. Marks, R. McLeod, W. Karwowski, P. Mosaly, G. Tracton, R. D. Adams, L. Hoyle, S. Das, and B. Chera. “Promoting safety mindfulness: Recommendations for the design and use of simulation-based training in radiation therapy.” Advances in Radiation Oncology 3, no. 2 (April 1, 2018): 197–204. https://doi.org/10.1016/j.adro.2018.01.002.
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    • Mavroidis, Panayiotis, Kevin A. Pearlstein, John Dooley, Jasmine Sun, Srinivas Saripalli, Shiva K. Das, Andrew Z. Wang, and Ronald C. Chen. “Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy.” Radiat Oncol 13, no. 1 (February 2, 2018): 17. https://doi.org/10.1186/s13014-018-0961-x.
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    • Tracton, Gregg S., Lukasz M. Mazur, Prithima Mosaly, Lawrence B. Marks, and Shiva Das. “Developing and assessing electronic checklists for safety mindfulness, workload, and performance.” Pract Radiat Oncol 8, no. 6 (2018): 458–67. https://doi.org/10.1016/j.prro.2018.05.001.
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    • Fried, David V., Shiva K. Das, and Lawrence B. Marks. “Imaging Radiation-Induced Normal Tissue Injury to Quantify Regional Dose Response.” Semin Radiat Oncol 27, no. 4 (October 2017): 325–31. https://doi.org/10.1016/j.semradonc.2017.04.004.
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    • Fried, David V., Bhishamjit S. Chera, and Shiva K. Das. “Assessment of PlanIQ Feasibility DVH for head and neck treatment planning.” J Appl Clin Med Phys 18, no. 5 (September 2017): 245–50. https://doi.org/10.1002/acm2.12165.
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    • Zhang, Xiaofeng, Sai Kit Lam, Gregory Palmer, Shiva Das, Mark Oldham, and Mark Dewhirst. “Noninvasive measurement of tissue blood oxygenation with Cerenkov imaging during therapeutic radiation delivery.” Opt Lett 42, no. 16 (August 15, 2017): 3101–4. https://doi.org/10.1364/OL.42.003101.
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    • Berthon, Beatrice, Emiliano Spezi, Paulina Galavis, Tony Shepherd, Aditya Apte, Mathieu Hatt, Hadi Fayad, et al. “Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation.” Med Phys 44, no. 8 (August 2017): 4098–4111. https://doi.org/10.1002/mp.12312.
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    • Chera, Bhishamjit S., David Fried, Alex Price, Robert J. Amdur, William Mendenhall, Chiray Lu, Shiva Das, Nathan Sheets, Lawrence Marks, and Panayiotis Mavroidis. “Dosimetric Predictors of Patient-Reported Xerostomia and Dysphagia With Deintensified Chemoradiation Therapy for HPV-Associated Oropharyngeal Squamous Cell Carcinoma.” Int J Radiat Oncol Biol Phys 98, no. 5 (August 1, 2017): 1022–27. https://doi.org/10.1016/j.ijrobp.2017.03.034.
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    • Mavroidis, Panayiotis, Alex Price, David Fried, Mark Kostich, Robert Amdur, William Mendenhall, Chihray Liu, Shiva Das, Lawrence B. Marks, and Bhishamjit Chera. “Dose-volume toxicity modeling for de-intensified chemo-radiation therapy for HPV-positive oropharynx cancer.” Radiother Oncol 124, no. 2 (August 2017): 240–47. https://doi.org/10.1016/j.radonc.2017.06.020.
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    • Kaidar-Person, Orit, Timothy M. Zagar, Jorge Daniel Oldan, Jason Matney, Ellen L. Jones, Shiva Das, Brian C. Jensen, Richard C. Zellars, Terence Z. Wong, and Lawrence B. Marks. “Early cardiac perfusion defects after left-sided radiation therapy for breast cancer: is there a volume response?” Breast Cancer Res Treat 164, no. 2 (July 2017): 253–62. https://doi.org/10.1007/s10549-017-4248-y.
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    • Hatt, Mathieu, John A. Lee, Charles R. Schmidtlein, Issam El Naqa, Curtis Caldwell, Elisabetta De Bernardi, Wei Lu, et al. “Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.” Med Phys 44, no. 6 (June 2017): e1–42. https://doi.org/10.1002/mp.12124.
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    • Zhu, Tong, Shiva Das, and Terence Z. Wong. “Integration of PET/MR Hybrid Imaging into Radiation Therapy Treatment.” Magn Reson Imaging Clin N Am 25, no. 2 (May 2017): 377–430. https://doi.org/10.1016/j.mric.2017.01.001.
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    • Nickerson, M. L., S. Das, K. M. Im, S. Turan, S. I. Berndt, H. Li, H. Lou, et al. “TET2 binds the androgen receptor and loss is associated with prostate cancer.” Oncogene 36, no. 15 (April 2017): 2172–83. https://doi.org/10.1038/onc.2016.376.
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    • Williamson, Jeffrey F., Shiva K. Das, Mitchell S. Goodsitt, and Joseph O. Deasy. “Introducing the Medical Physics Dataset Article.” Med Phys 44, no. 2 (February 2017): 349–50. https://doi.org/10.1002/mp.12003.
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    • Wang, K., B. T. Mullins, A. D. Falchook, J. Lian, K. He, D. Shen, M. Dance, et al. “Evaluation of PET/MRI for tumor volume delineation for head and neck cancer.” Frontiers in Oncology 7, no. JAN (January 23, 2017). https://doi.org/10.3389/fonc.2017.00008.
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    • Williamson, Jeffrey F., Shiva K. Das, and Mitchell M. Goodsitt. “Welcome to our new publisher: Wiley.” Med Phys 44, no. 1 (January 2017): 1–2. https://doi.org/10.1002/mp.12035.
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    • Hotwani, C., J. P. Agarwal, K. Prabhash, A. Munshi, A. Joshi, S. Misra, D. Kumar, S. Das, and S. G. Laskar. “Palliative thoracic radiotherapy in advanced lung cancer: A single institution experience.” Indian J Cancer 54, no. 1 (2017): 262–66. https://doi.org/10.4103/0019-509X.219587.
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    • Goodsitt, Mitchell M., Shiva K. Das, and Jeffrey F. Williamson. “A new template for referees and guidance on writing high quality papers.” Med Phys 43, no. 8 (August 2016): 4465. https://doi.org/10.1118/1.4954788.
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    • Kaidar-Person, Orit, Mark Kostich, Timothy M. Zagar, Ellen Jones, Gaorav Gupta, Panayiotis Mavroidis, Shiva K. Das, and Lawrence B. Marks. “Helical tomotherapy for bilateral breast cancer: Clinical experience.” Breast 28 (August 2016): 79–83. https://doi.org/10.1016/j.breast.2016.05.004.
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    • Xu, P. -. T., B. W. Maidment, V. Antonic, I. L. Jackson, S. Das, A. Zodda, X. Zhang, S. Seal, and Z. Vujaskovic. “Cerium Oxide Nanoparticles: A Potential Medical Countermeasure to Mitigate Radiation-Induced Lung Injury in CBA/J Mice.” Radiat Res 185, no. 5 (May 2016): 516–26. https://doi.org/10.1667/RR14261.1.
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    • Kelsey, Chris R., Shiva Das, Lin Gu, Frank R. Dunphy, Neal E. Ready, and Lawrence B. Marks. “Phase 1 Dose Escalation Study of Accelerated Radiation Therapy With Concurrent Chemotherapy for Locally Advanced Lung Cancer.” Int J Radiat Oncol Biol Phys 93, no. 5 (December 1, 2015): 997–1004. https://doi.org/10.1016/j.ijrobp.2015.09.007.
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    • Ashcraft, Kathleen A., Mary-Keara Boss, Artak Tovmasyan, Kingshuk Roy Choudhury, Andrew N. Fontanella, Kenneth H. Young, Gregory M. Palmer, et al. “Novel Manganese-Porphyrin Superoxide Dismutase-Mimetic Widens the Therapeutic Margin in a Preclinical Head and Neck Cancer Model.” Int J Radiat Oncol Biol Phys 93, no. 4 (November 15, 2015): 892–900. https://doi.org/10.1016/j.ijrobp.2015.07.2283.
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    • Ravussin, Eric, Leanne M. Redman, James Rochon, Sai Krupa Das, Luigi Fontana, William E. Kraus, Sergei Romashkan, et al. “A 2-Year Randomized Controlled Trial of Human Caloric Restriction: Feasibility and Effects on Predictors of Health Span and Longevity.” J Gerontol a Biol Sci Med Sci 70, no. 9 (September 2015): 1097–1104. https://doi.org/10.1093/gerona/glv057.
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    • Schmidt, Matthew, Joseph Y. Lo, Shelby Grzetic, Carly Lutzky, David M. Brizel, and Shiva K. Das. “Semiautomated head-and-neck IMRT planning using dose warping and scaling to robustly adapt plans in a knowledge database containing potentially suboptimal plans.” Med Phys 42, no. 8 (August 2015): 4428–34. https://doi.org/10.1118/1.4923174.
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    • Kimura, Masaki, Andrew R. Zodda, Javed Mahmood, Shiva K. Das, Giao B. Nguyen, Isabel L. Jackson, and Zeljko Vujaskovic. “Pilot Study Evaluating a Rat Model of Radiation-induced Erectile Dysfunction Using an Image-guided Microirradiator.” Urology 85, no. 5 (May 2015): 1214.e1-1214.e6. https://doi.org/10.1016/j.urology.2014.12.020.
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    • Moding, Everett J., Chang-Lung Lee, Katherine D. Castle, Patrick Oh, Lan Mao, Shan Zha, Hooney D. Min, Yan Ma, Shiva Das, and David G. Kirsch. “Atm deletion with dual recombinase technology preferentially radiosensitizes tumor endothelium.” J Clin Invest 124, no. 8 (August 2014): 3325–38. https://doi.org/10.1172/JCI73932.
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    • Juang, Titania, Paul R. Stauffer, Oana A. Craciunescu, Paolo F. Maccarini, Yu Yuan, Shiva K. Das, Mark W. Dewhirst, Brant A. Inman, and Zeljko Vujaskovic. “Thermal dosimetry characteristics of deep regional heating of non-muscle invasive bladder cancer.” Int J Hyperthermia 30, no. 3 (May 2014): 176–83. https://doi.org/10.3109/02656736.2014.898338.
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    • Wong, William W., Susan B. Roberts, Susan B. Racette, Sai Krupa Das, Leanne M. Redman, James Rochon, Manjushri V. Bhapkar, Lucinda L. Clarke, and William E. Kraus. “The doubly labeled water method produces highly reproducible longitudinal results in nutrition studies.” J Nutr 144, no. 5 (May 2014): 777–83. https://doi.org/10.3945/jn.113.187823.
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    • Lee, Chang-Lung, Hooney Min, Nicholas Befera, Darin Clark, Yi Qi, Shiva Das, G Allan Johnson, Cristian T. Badea, and David G. Kirsch. “Assessing cardiac injury in mice with dual energy-microCT, 4D-microCT, and microSPECT imaging after partial heart irradiation.” Int J Radiat Oncol Biol Phys 88, no. 3 (March 1, 2014): 686–93. https://doi.org/10.1016/j.ijrobp.2013.11.238.
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    • Williamson, Jeffrey F., Shiva K. Das, and Mitchell M. Goodsitt. “Message from the editors: Changing of the guard.” Med Phys 41, no. 1 (January 2014). https://doi.org/10.1118/1.4856195.
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    • Redman, Leanne M., William E. Kraus, Manju Bhapkar, Sai Krupa Das, Susan B. Racette, Corby K. Martin, Luigi Fontana, et al. “Energy requirements in nonobese men and women: results from CALERIE.” Am J Clin Nutr 99, no. 1 (January 2014): 71–78. https://doi.org/10.3945/ajcn.113.065631.
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    • Rankine, L. J., J. Newton, S. T. Bache, S. K. Das, J. Adamovics, D. G. Kirsch, and M. Oldham. “Investigating end-to-end accuracy of image guided radiation treatment delivery using a micro-irradiator.” Phys Med Biol 58, no. 21 (November 7, 2013): 7791–7801. https://doi.org/10.1088/0031-9155/58/21/7791.
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    • Zhang, Tian, Shiva K. Das, Diane R. Fels, Katherine S. Hansen, Terence Z. Wong, Mark W. Dewhirst, and Gordana Vlahovic. “PET with 62Cu-ATSM and 62Cu-PTSM is a useful imaging tool for hypoxia and perfusion in pulmonary lesions.” Ajr Am J Roentgenol 201, no. 5 (November 2013): W698–706. https://doi.org/10.2214/AJR.12.9698.
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    • Juang, Titania, Shiva Das, John Adamovics, Ron Benning, and Mark Oldham. “On the need for comprehensive validation of deformable image registration, investigated with a novel 3-dimensional deformable dosimeter.” Int J Radiat Oncol Biol Phys 87, no. 2 (October 1, 2013): 414–21. https://doi.org/10.1016/j.ijrobp.2013.05.045.
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    • Chino, Junzo, Shiva Das, and Terence Wong. “Positron emission tomography in radiation treatment planning: the potential of metabolic imaging.” Radiol Clin North Am 51, no. 5 (September 2013): 913–25. https://doi.org/10.1016/j.rcl.2013.05.007.
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    • Good, David, Joseph Lo, W Robert Lee, Q Jackie Wu, Fang-Fang Yin, and Shiva K. Das. “A knowledge-based approach to improving and homogenizing intensity modulated radiation therapy planning quality among treatment centers: an example application to prostate cancer planning.” Int J Radiat Oncol Biol Phys 87, no. 1 (September 1, 2013): 176–81. https://doi.org/10.1016/j.ijrobp.2013.03.015.
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    • Hoang, J. K., S. K. Das, K. R. Choudhury, D. S. Yoo, and D. M. Brizel. “Using FDG-PET to measure early treatment response in head and neck squamous cell carcinoma: quantifying intrinsic variability in order to understand treatment-induced change.” Ajnr Am J Neuroradiol 34, no. 7 (July 2013): 1428–33. https://doi.org/10.3174/ajnr.A3412.
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    • McGurk, Ross J., Valerie A. Smith, James Bowsher, John A. Lee, and Shiva K. Das. “Influence of filter choice on 18F-FDG PET segmentation accuracy determined using generalized estimating equations.” Phys Med Biol 58, no. 11 (June 7, 2013): 3517–34. https://doi.org/10.1088/0031-9155/58/11/3517.
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    • Juang, T., S. Das, J. Adamovics, and M. Oldham. “SU-C-105-03: Progress Toward the Development of a Deformable Anthropomorphic 3D Dosimetric Phantom.” Med Phys 40, no. 6Part2 (June 2013): 83. https://doi.org/10.1118/1.4813927.
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    • McGurk, R., V. Smith, J. Bowsher, J. Lee, and S. Das. “TH-C-WAB-08: Modeling of the Dice Coefficient for PET Segmentation Studies.” Med Phys 40, no. 6Part32 (June 2013): 538. https://doi.org/10.1118/1.4815765.
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    • Kelsey, Chris R., Isabel L. Jackson, Scott Langdon, Kouros Owzar, Jessica Hubbs, Zeljko Vujaskovic, Shiva Das, and Lawrence B. Marks. “Analysis of single nucleotide polymorphisms and radiation sensitivity of the lung assessed with an objective radiologic endpoin.” Clin Lung Cancer 14, no. 3 (May 2013): 267–74. https://doi.org/10.1016/j.cllc.2012.10.006.
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    • McGurk, Ross J., James Bowsher, John A. Lee, and Shiva K. Das. “Combining multiple FDG-PET radiotherapy target segmentation methods to reduce the effect of variable performance of individual segmentation methods.” Med Phys 40, no. 4 (April 2013): 042501. https://doi.org/10.1118/1.4793721.
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    • Lawrence, Michael V., Mert Saynak, David V. Fried, Ted A. Bateman, Rebecca L. Green, Jessica L. Hubbs, Ronald J. Jaszczak, et al. “Assessing the impact of radiation-induced changes in soft tissue density ∕ thickness on the study of radiation-induced perfusion changes in the lung and heart.” Med Phys 39, no. 12 (December 2012): 7644–49. https://doi.org/10.1118/1.4766433.
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    • Manzoor, Ashley A., Lars H. Lindner, Chelsea D. Landon, Ji-Young Park, Andrew J. Simnick, Matthew R. Dreher, Shiva Das, et al. “Overcoming limitations in nanoparticle drug delivery: triggered, intravascular release to improve drug penetration into tumors.” Cancer Res 72, no. 21 (November 1, 2012): 5566–75. https://doi.org/10.1158/0008-5472.CAN-12-1683.
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    • Lee, Chang-Lung, Everett J. Moding, Kyle C. Cuneo, Yifan Li, Julie M. Sullivan, Lan Mao, Iman Washington, et al. “p53 functions in endothelial cells to prevent radiation-induced myocardial injury in mice.” Sci Signal 5, no. 234 (July 24, 2012): ra52. https://doi.org/10.1126/scisignal.2002918.
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    • Cuneo, K. C., T. M. Zagar, D. M. Brizel, D. S. Yoo, J. K. Hoang, Z. Chang, Z. Wang, et al. “Stereotactic radiotherapy for malignancies involving the trigeminal and facial nerves.” Technol Cancer Res Treat 11, no. 3 (June 2012): 221–28. https://doi.org/10.7785/tcrt.2012.500290.
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    • Juang, T., J. Newton, S. Das, J. Adamovics, and M. Oldham. “WE-E-BRB-04: Quantitative Dose Tracking Enabled Through a Novel Deformable 3D Dosimeter.” Med Phys 39, no. 6Part27 (June 2012): 3956. https://doi.org/10.1118/1.4736146.
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    • Rodrigues, A., G. Nguyen, Y. Li, K. Roy Choudhury, D. Kirsch, S. Das, and T. Yoshizumi. “SU-E-T-275: Dose Verification in a Small Animal Image-Guided Radiation Therapy X-Ray Machine: A Dose Comparison between TG-61 Based Look-Up Table and MOSFET Method for Various Collimator Sizes.” Med Phys 39, no. 6Part14 (June 2012): 3766. https://doi.org/10.1118/1.4735343.
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    • Wu, Q., S. Yoo, S. Das, and F. Yin. “SU-E-T-559: Evaluation of Flatening Filter Free (FFF) Beams in Radiotherapy of Head and Neck Cancer.” Med Phys 39, no. 6Part19 (June 2012): 3834. https://doi.org/10.1118/1.4735648.
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    • Yuan, Yu, Cory Wyatt, Paolo Maccarini, Paul Stauffer, Oana Craciunescu, James Macfall, Mark Dewhirst, and Shiva K. Das. “A heterogeneous human tissue mimicking phantom for RF heating and MRI thermal monitoring verification.” Phys Med Biol 57, no. 7 (April 7, 2012): 2021–37. https://doi.org/10.1088/0031-9155/57/7/2021.
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    • O’Daniel, Jennifer, Shiva Das, Q Jackie Wu, and Fang-Fang Yin. “Volumetric-modulated arc therapy: effective and efficient end-to-end patient-specific quality assurance.” Int J Radiat Oncol Biol Phys 82, no. 5 (April 1, 2012): 1567–74. https://doi.org/10.1016/j.ijrobp.2011.01.018.
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    • Yuan, Yu, Kung-Shan Cheng, Oana I. Craciunescu, Paul R. Stauffer, Paolo F. Maccarini, Kavitha Arunachalam, Zeljko Vujaskovic, Mark W. Dewhirst, and Shiva K. Das. “Utility of treatment planning for thermochemotherapy treatment of nonmuscle invasive bladder carcinoma.” Med Phys 39, no. 3 (March 2012): 1170–81. https://doi.org/10.1118/1.3679839.
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    • Racette, Susan B., Sai Krupa Das, Manjushri Bhapkar, Evan C. Hadley, Susan B. Roberts, Eric Ravussin, Carl Pieper, et al. “Approaches for quantifying energy intake and %calorie restriction during calorie restriction interventions in humans: the multicenter CALERIE study.” Am J Physiol Endocrinol Metab 302, no. 4 (February 15, 2012): E441–48. https://doi.org/10.1152/ajpendo.00290.2011.
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    • Kelsey, Chris R., Lauren Jackson, Scott Langdon, Kouros Owzar, Jessica Hubbs, Zeljko Vujaskovic, Shiva Das, and Lawrence B. Marks. “A polymorphism within the promoter of the TGFβ1 gene is associated with radiation sensitivity using an objective radiologic endpoint.” Int J Radiat Oncol Biol Phys 82, no. 2 (February 1, 2012): e247–55. https://doi.org/10.1016/j.ijrobp.2011.02.064.
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    • Newton, Joseph, Mark Oldham, Andrew Thomas, Yifan Li, John Adamovics, David G. Kirsch, and Shiva Das. “Commissioning a small-field biological irradiator using point, 2D, and 3D dosimetry techniques.” Med Phys 38, no. 12 (December 2011): 6754–62. https://doi.org/10.1118/1.3663675.
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    • Das, S. K., D. S. Yoo, O. Craciunescu, J. Hoang, and D. M. Brizel. “The Use of Serial FDG-PET Scanning to Develop Metabolic Response Criteria to Chemoradiation in Head and Neck Cancer (HNC).” International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (October 2011): S531–S531. https://doi.org/10.1016/j.ijrobp.2011.06.823.
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    • Zhang, Tian, Diane R. Fels, Katherine S. Hansen, Shiva K. Das, Terence Z. Wong, Mark W. Dewhirst, and Gordana Vlahovic. “62CUATSM AND 62CUPTSM PET IS A USEFUL IMAGING TOOL FOR HYPOXIA AND PERFUSION IN LUNG CANCER.” Journal of Thoracic Oncology 6, no. 6 (June 1, 2011): S919–20.
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    • Chanyavanich, Vorakarn, Shiva K. Das, William R. Lee, and Joseph Y. Lo. “Knowledge-based IMRT treatment planning for prostate cancer.” Med Phys 38, no. 5 (May 2011): 2515–22. https://doi.org/10.1118/1.3574874.
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    • Das, Shiva K., and Randall K. Ten Haken. “Functional and molecular image guidance in radiotherapy treatment planning optimization.” Semin Radiat Oncol 21, no. 2 (April 2011): 111–18. https://doi.org/10.1016/j.semradonc.2010.10.002.
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    • Martin, Corby K., Sai Krupa Das, Lauren Lindblad, Susan B. Racette, Megan A. McCrory, Edward P. Weiss, James P. Delany, William E. Kraus, and William E. CALERIE Study Team. “Effect of calorie restriction on the free-living physical activity levels of nonobese humans: results of three randomized trials.” J Appl Physiol (1985) 110, no. 4 (April 2011): 956–63. https://doi.org/10.1152/japplphysiol.00846.2009.
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    • Li, Zhen, Martin Vogel, Paolo F. Maccarini, Vadim Stakhursky, Brian J. Soher, Oana I. Craciunescu, Shiva Das, Omar A. Arabe, Williams T. Joines, and Paul R. Stauffer. “Improved hyperthermia treatment control using SAR/temperature simulation and PRFS magnetic resonance thermal imaging.” Int J Hyperthermia 27, no. 1 (2011): 86–99. https://doi.org/10.3109/02656736.2010.501509.
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    • Miles, Edward F., John W. Nelson, Ali K. Alkaissi, Shiva Das, Robert W. Clough, Gloria Broadwater, Mitchell S. Anscher, Junzo P. Chino, and James R. Oleson. “Biologically effective dose (BED) correlation with biochemical control after low-dose rate prostate brachytherapy for clinically low-risk prostate cancer.” Int J Radiat Oncol Biol Phys 77, no. 1 (May 1, 2010): 139–46. https://doi.org/10.1016/j.ijrobp.2009.04.052.
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    • Cheng, Kung-Shan, Mark W. Dewhirst, Paul F. Stauffer, and Shiva Das. “Mathematical formulation and analysis of the nonlinear system reconstruction of the online image-guided adaptive control of hyperthermia.” Med Phys 37, no. 3 (March 2010): 980–94. https://doi.org/10.1118/1.3298005.
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    • Cheng, Kung-Shan, Mark W. Dewhirst, Paul R. Stauffer, and Shiva Das. “Effective learning strategies for real-time image-guided adaptive control of multiple-source hyperthermia applicators.” Med Phys 37, no. 3 (March 2010): 1285–97. https://doi.org/10.1118/1.3302829.
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    • Dawson, Laura A., Brian D. Kavanagh, Arnold C. Paulino, Shiva K. Das, Moyed Miften, X Allen Li, Charlie Pan, Randall K. Ten Haken, and Timothy E. Schultheiss. “Radiation-associated kidney injury.” Int J Radiat Oncol Biol Phys 76, no. 3 Suppl (March 1, 2010): S108–15. https://doi.org/10.1016/j.ijrobp.2009.02.089.
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    • Kavanagh, Brian D., Charlie C. Pan, Laura A. Dawson, Shiva K. Das, X Allen Li, Randall K. Ten Haken, and Moyed Miften. “Radiation dose-volume effects in the stomach and small bowel.” Int J Radiat Oncol Biol Phys 76, no. 3 Suppl (March 1, 2010): S101–7. https://doi.org/10.1016/j.ijrobp.2009.05.071.
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    • Pan, Charlie C., Brian D. Kavanagh, Laura A. Dawson, X Allen Li, Shiva K. Das, Moyed Miften, and Randall K. Ten Haken. “Radiation-associated liver injury.” Int J Radiat Oncol Biol Phys 76, no. 3 Suppl (March 1, 2010): S94-100. https://doi.org/10.1016/j.ijrobp.2009.06.092.
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    • Quaranta, Brian P., Shiva K. Das, Timothy D. Shafman, Kim L. Light, and Lawrence B. Marks. “The utility of non-axial treatment beam orientations for lower lobe lung cancers.” J Appl Clin Med Phys 11, no. 1 (January 28, 2010): 3010. https://doi.org/10.1120/jacmp.v11i1.3010.
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    • McGuire, S. M., L. B. Marks, F. F. Yin, and S. K. Das. “A methodology for selecting the beam arrangement to reduce the intensity-modulated radiation therapy (IMRT) dose to the SPECT-defined functioning lung.” Phys Med Biol 55, no. 2 (January 21, 2010): 403–16. https://doi.org/10.1088/0031-9155/55/2/005.
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    • Wu, Q Jackie, Fang-Fang Yin, Ryan McMahon, Xiaofeng Zhu, and Shiva K. Das. “Similarities between static and rotational intensity-modulated plans.” Phys Med Biol 55, no. 1 (January 7, 2010): 33–43. https://doi.org/10.1088/0031-9155/55/1/003.
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    • O’Daniel, J., S. Das, J. Wu, and F. F. Yin. “Patient specific quality assurance: Transition from IMRT to IMAT.” Journal of Physics: Conference Series 250 (January 1, 2010): 231–34. https://doi.org/10.1088/1742-6596/250/1/012050.
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    • Quaranta, B. P., S. K. Das, T. D. Shafman, K. L. Light, and L. B. Marks. “The utility of non-axial treatment beam orientations for lower lobe lung cancers.” Journal of Applied Clinical Medical Physics 11, no. 1 (January 1, 2010): 128–36. https://doi.org/10.1120/jacmp.v11i1.3010.
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    • Craciunescu, Oana I., Paul R. Stauffer, Brian J. Soher, Cory R. Wyatt, Omar Arabe, Paolo Maccarini, Shiva K. Das, et al. “Accuracy of real time noninvasive temperature measurements using magnetic resonance thermal imaging in patients treated for high grade extremity soft tissue sarcomas.” Med Phys 36, no. 11 (November 2009): 4848–58. https://doi.org/10.1118/1.3227506.
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    • Das, Shiva. “A role for biological optimization within the current treatment planning paradigm.” Med Phys 36, no. 10 (October 2009): 4672–82. https://doi.org/10.1118/1.3220211.
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    • Zhu, X., J. D. Bourland, Y. Yuan, T. Zhuang, J. O’Daniel, D. Thongphiew, Q. J. Wu, S. K. Das, S. Yoo, and F. F. Yin. “Tradeoffs of integrating real-time tracking into IGRT for prostate cancer treatment.” Phys Med Biol 54, no. 17 (September 7, 2009): N393–401. https://doi.org/10.1088/0031-9155/54/17/N03.
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    • Das, Shiva K. “A method to dynamically balance intensity modulated radiotherapy dose between organs-at-risk.” Med Phys 36, no. 5 (May 2009): 1744–52. https://doi.org/10.1118/1.3104067.
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    • Cheng, Kung-Shan, Yu Yuan, Zhen Li, Paul R. Stauffer, Paolo Maccarini, William T. Joines, Mark W. Dewhirst, and Shiva K. Das. “The performance of a reduced-order adaptive controller when used in multi-antenna hyperthermia treatments with nonlinear temperature-dependent perfusion.” Phys Med Biol 54, no. 7 (April 7, 2009): 1979–95. https://doi.org/10.1088/0031-9155/54/7/008.
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    • Stakhursky, Vadim L., Omar Arabe, Kung-Shan Cheng, James Macfall, Paolo Maccarini, Oana Craciunescu, Mark Dewhirst, Paul Stauffer, and Shiva K. Das. “Real-time MRI-guided hyperthermia treatment using a fast adaptive algorithm.” Phys Med Biol 54, no. 7 (April 7, 2009): 2131–45. https://doi.org/10.1088/0031-9155/54/7/019.
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    • Song, Haijun, James Bowsher, Shiva Das, and Fang-Fang Yin. “Tracking brachytherapy sources using emission imaging with one flat panel detector.” Med Phys 36, no. 4 (April 2009): 1109–11. https://doi.org/10.1118/1.3081402.
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    • Reese, Adam S., Shiva K. Das, Charles Curie, and Lawrence B. Marks. “Integral dose conservation in radiotherapy.” Med Phys 36, no. 3 (March 2009): 734–40. https://doi.org/10.1118/1.3070585.
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    • Stauffer, Pr, Oi Craciunescu, P. Maccarini, C. Wyatt, K. Arunachalam, O. Arabe, V. Stakhursky, et al. “Clinical Utility of Magnetic Resonance Thermal Imaging (MRTI) For Realtime Guidance of Deep Hyperthermia.” Proc Spie Int Soc Opt Eng 7181 (February 25, 2009). https://doi.org/10.1117/12.812188.
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    • Cheng, Kung-Shan, Yu Yuan, Zhen Li, Paul R. Stauffer, William T. Joines, Mark W. Dewhirst, and Shiva K. Das. “Control time reduction using virtual source projection for treating a leg sarcoma with nonlinear perfusion.” Proc Spie Int Soc Opt Eng 7181 (February 12, 2009). https://doi.org/10.1117/12.808499.
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    • Reese, Adam S., Shiva K. Das, John P. Kirkpatrick, and Lawrence B. Marks. “Quantifying the dosimetric trade-offs when using intensity-modulated radiotherapy to treat concave targets containing normal tissues.” Int J Radiat Oncol Biol Phys 73, no. 2 (February 1, 2009): 585–93. https://doi.org/10.1016/j.ijrobp.2008.09.044.
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    • Koontz, Bridget F., Shiva Das, Kathy Temple, Sigrun Bynum, Suzanne Catalano, Jason I. Koontz, Gustavo S. Montana, and James R. Oleson. “Dosimetric and radiobiologic comparison of 3D conformal versus intensity modulated planning techniques for prostate bed radiotherapy.” Med Dosim 34, no. 3 (2009): 256–60. https://doi.org/10.1016/j.meddos.2008.10.005.
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    • Yoo, Sua, Q Jackie Wu, Devon Godfrey, Hui Yan, Lei Ren, Shiva Das, William R. Lee, and Fang-Fang Yin. “Clinical evaluation of positioning verification using digital tomosynthesis and bony anatomy and soft tissues for prostate image-guided radiotherapy.” Int J Radiat Oncol Biol Phys 73, no. 1 (January 1, 2009): 296–305. https://doi.org/10.1016/j.ijrobp.2008.09.006.
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    • Das, S. K., S. Chen, J. O. Deasy, S. Zhou, F. F. Yin, and L. B. Marks. “Decision fusion of machine learning models to predict radiotherapyinduced lung pneumonitis.” Proceedings  7th International Conference on Machine Learning and Applications, Icmla 2008, December 1, 2008, 545–50. https://doi.org/10.1109/ICMLA.2008.122.
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    • Gayou, Olivier, Shiva K. Das, Su-Min Zhou, Lawrence B. Marks, David S. Parda, and Moyed Miften. “A genetic algorithm for variable selection in logistic regression analysis of radiotherapy treatment outcomes.” Med Phys 35, no. 12 (December 2008): 5426–33. https://doi.org/10.1118/1.3005974.
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    • Das, Shiva K., Shifeng Chen, Joseph O. Deasy, Sumin Zhou, Fang-Fang Yin, and Lawrence B. Marks. “Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction.” Med Phys 35, no. 11 (November 2008): 5098–5109. https://doi.org/10.1118/1.2996012.
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    • Cheng, Kung-Shan, Vadim Stakhursky, Oana I. Craciunescu, Paul Stauffer, Mark Dewhirst, and Shiva K. Das. “Fast temperature optimization of multi-source hyperthermia applicators with reduced-order modeling of 'virtual sources'.” Phys Med Biol 53, no. 6 (March 21, 2008): 1619–35. https://doi.org/10.1088/0031-9155/53/6/008.
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    • Chen, Shifeng, Sumin Zhou, Fang-Fang Yin, Lawrence B. Marks, and Shiva K. Das. “Using patient data similarities to predict radiation pneumonitis via a self-organizing map.” Phys Med Biol 53, no. 1 (January 7, 2008): 203–16. https://doi.org/10.1088/0031-9155/53/1/014.
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    • Zhou, S. M., E. J. Hoppenworth, S. K. Das, Z. H. Wang, X. J. Sun, F. F. Yin, and M. W. Dewhirst. “Response to comments by Dr. Luijik and Dr. Schippers.” Medical Physics 35, no. 6 (January 1, 2008): 2560. https://doi.org/10.1118/1.2912367.
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    • Miles, Edward F., John W. Nelson, Ali K. Alkaissi, Shiva Das, Robert W. Clough, Mitchell S. Anscher, and James R. Oleson. “Equivalent uniform dose, D(90), and V(100) correlation with biochemical control after low-dose-rate prostate brachytherapy for clinically low-risk prostate cancer.” Brachytherapy 7, no. 2 (2008): 206–11. https://doi.org/10.1016/j.brachy.2008.01.002.
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    • Cheng, Kung-Shan, Vadim Stakhursky, Paul Stauffer, Mark Dewhirst, and Shiva K. Das. “Online feedback focusing algorithm for hyperthermia cancer treatment.” Int J Hyperthermia 23, no. 7 (November 2007): 539–54. https://doi.org/10.1080/02656730701678877.
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    • Chen, Shifeng, Sumin Zhou, Fang-Fang Yin, Lawrence B. Marks, and Shiva K. Das. “Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis.” Med Phys 34, no. 10 (October 2007): 3808–14. https://doi.org/10.1118/1.2776669.
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    • Chen, Shifeng, Sumin Zhou, Junan Zhang, Fang-Fang Yin, Lawrence B. Marks, and Shiva K. Das. “A neural network model to predict lung radiation-induced pneumonitis.” Med Phys 34, no. 9 (September 2007): 3420–27. https://doi.org/10.1118/1.2759601.
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    • Das, Shiva K., Sumin Zhou, Junan Zhang, Fang-Fang Yin, Mark W. Dewhirst, and Lawrence B. Marks. “Predicting lung radiotherapy-induced pneumonitis using a model combining parametric Lyman probit with nonparametric decision trees.” Int J Radiat Oncol Biol Phys 68, no. 4 (July 15, 2007): 1212–21. https://doi.org/10.1016/j.ijrobp.2007.03.064.
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    • Zhou, Su-Min, Shiva K. Das, Zhiheng Wang, Xuejun Sun, Mark Dewhirst, Fang-Fang Yin, and Lawrence B. Marks. “Self-consistent tumor control probability and normal tissue complication probability models based on generalized EUDa).” Med Phys 34, no. 7 (July 2007): 2807–15. https://doi.org/10.1118/1.2740010.
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    • Mao, Jingfang, Junan Zhang, Sumin Zhou, Shiva Das, Donna R. Hollis, Rodney J. Folz, Terence Z. Wong, and Lawrence B. Marks. “Updated assessment of the six-minute walk test as predictor of acute radiation-induced pneumonitis.” Int J Radiat Oncol Biol Phys 67, no. 3 (March 1, 2007): 759–67. https://doi.org/10.1016/j.ijrobp.2006.10.001.
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    • Ahmed, S., S. Das, and F. Yin. “TH‐D‐M100E‐07: Determining the Geometric and Dosimetric Accuracy of MRI Based IMRT Treatment Plan for Patients with Prostate, Brain, and Head and Neck Cancers.” Medical Physics 34, no. 6 (January 1, 2007): 2644. https://doi.org/10.1118/1.2761734.
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    • Chen, S., S. Zhou, J. Zhang, L. Marks, and S. Das. “WE‐D‐M100J‐04: Prediction of Lung Radiation‐Induced Pneumonitis Using the Support Vector Machine Algorithm.” Medical Physics 34, no. 6 (January 1, 2007): 2602–3. https://doi.org/10.1118/1.2761565.
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    • McGuire, Sarah M., Sumin Zhou, Lawrence B. Marks, Mark Dewhirst, Fang-Fang Yin, and Shiva K. Das. “A methodology for using SPECT to reduce intensity-modulated radiation therapy (IMRT) dose to functioning lung.” Int J Radiat Oncol Biol Phys 66, no. 5 (December 1, 2006): 1543–52. https://doi.org/10.1016/j.ijrobp.2006.07.1377.
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    • Yin, Fang-Fang, Shiva Das, John Kirkpatrick, Mark Oldham, Zhiheng Wang, and Su-Min Zhou. “Physics and imaging for targeting of oligometastases.” Semin Radiat Oncol 16, no. 2 (April 2006): 85–101. https://doi.org/10.1016/j.semradonc.2005.12.004.
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    • Das, Shiva K., James Macfall, Robert McCauley, Oana Craciunescu, Mark W. Dewhirst, and Thaddeus V. Samulski. “Improved magnetic resonance thermal imaging by combining proton resonance frequency shift (PRFS) and apparent diffusion coefficient (ADC) data.” Int J Hyperthermia 21, no. 7 (November 2005): 657–67. https://doi.org/10.1080/02656730500186346.
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    • Das, S., and F. Yin. “WE‐D‐T‐6E‐02: A Clinical Planning Tool for Optimization of Intensity Modulated Radiotherapy Parameters.” Medical Physics 32, no. 6 (January 1, 2005): 2139. https://doi.org/10.1118/1.1998571.
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    • Das, Shiva K., Alan H. Baydush, Sumin Zhou, Moyed Miften, Xiaoli Yu, Oana Craciunescu, Mark Oldham, et al. “Predicting radiotherapy-induced cardiac perfusion defects.” Med Phys 32, no. 1 (January 2005): 19–27. https://doi.org/10.1118/1.1823571.
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    • Zhou, Su-Min, Shiva Das, Zhiheng Wang, and Lawrence B. Marks. “Relationship between the generalized equivalent uniform dose formulation and the Poisson statistics-based tumor control probability model.” Med Phys 31, no. 9 (September 2004): 2606–9. https://doi.org/10.1118/1.1783532.
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    • Baydush, Alan H., Lawrence B. Marks, and Shiva K. Das. “Penalized likelihood fluence optimization with evolutionary components for intensity modulated radiation therapy treatment planning.” Med Phys 31, no. 8 (August 2004): 2335–43. https://doi.org/10.1118/1.1773631.
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    • Das, Shiva K., Michael Bell, Lawrence B. Marks, and Julian G. Rosenman. “A preliminary study of the role of modulated electron beams in intensity modulated radiotherapy, using automated beam orientation and modality selection.” Int J Radiat Oncol Biol Phys 59, no. 2 (June 1, 2004): 602–17. https://doi.org/10.1016/j.ijrobp.2004.01.049.
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    • Das, S. K., M. M. Miften, S. Zhou, M. Bell, M. T. Munley, C. S. Whiddon, O. Craciunescu, et al. “Feasibility of optimizing the dose distribution in lung tumors using fluorine-18-fluorodeoxyglucose positron emission tomography and single photon emission computed tomography guided dose prescriptions.” Med Phys 31, no. 6 (June 2004): 1452–61. https://doi.org/10.1118/1.1750991.
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    • Miften, Moyed M., Shiva K. Das, Min Su, and Lawrence B. Marks. “Incorporation of functional imaging data in the evaluation of dose distributions using the generalized concept of equivalent uniform dose.” Phys Med Biol 49, no. 9 (May 7, 2004): 1711–21. https://doi.org/10.1088/0031-9155/49/9/009.
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    • Miften, M. M., S. K. Das, M. Su, and L. B. Marks. “A dose-volume-based tool for evaluating and ranking IMRT treatment plans.” Journal of Applied Clinical Medical Physics / American College of Medical Physics 5, no. 4 (January 1, 2004): 1–14. https://doi.org/10.1120/jacmp.v5i4.1981.
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    • Miften, Moyed M., Shiva K. Das, Min Su, and Lawrence B. Marks. “A dose-volume-based tool for evaluating and ranking IMRT treatment plans.” J Appl Clin Med Phys 5, no. 4 (2004): 1–14. https://doi.org/10.1120/jacmp.v5i4.1981.
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    • Das, Shiva, Timothy Cullip, Gregg Tracton, Sha Chang, Lawrence Marks, Mitchell Anscher, and Julian Rosenman. “Beam orientation selection for intensity-modulated radiation therapy based on target equivalent uniform dose maximization.” Int J Radiat Oncol Biol Phys 55, no. 1 (January 1, 2003): 215–24. https://doi.org/10.1016/s0360-3016(02)03817-8.
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    • Miften, Moyed M., Shiva K. Das, Timothy D. Shafman, and Lawrence B. Marks. “Optimization of a 90Sr/90Y radiation source train stepping for intravascular brachytherapy.” Med Phys 29, no. 12 (December 2002): 2891–96. https://doi.org/10.1118/1.1524169.
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    • Craciunescu, O. I., S. K. Das, T. Z. Wong, and T. V. Samulski. “Fractal reconstruction of breast perfusion before and after hyperthermia treatments.” Asme International Mechanical Engineering Congress and Exposition, Proceedings, January 1, 2002, 207–11. https://doi.org/10.1115/IMECE2002-33692.
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    • Craciunescu, O. I., S. K. Das, T. Z. Wong, and T. V. Samulski. “Fractal reconstruction of breast perfusion before and after hyperthermia treatments.” American Society of Mechanical Engineers, Bioengineering Division (Publication) Bed 54 (2002): 207–11.
    • Hernando, M. L., L. B. Marks, G. C. Bentel, S. M. Zhou, D. Hollis, S. K. Das, M. Fan, et al. “Radiation-induced pulmonary toxicity: a dose-volume histogram analysis in 201 patients with lung cancer.” Int J Radiat Oncol Biol Phys 51, no. 3 (November 1, 2001): 650–59. https://doi.org/10.1016/s0360-3016(01)01685-6.
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    • Craciunescu, O. I., B. W. Raaymakers, A. N. Kotte, S. K. Das, T. V. Samulski, and J. J. Lagendijk. “Discretizing large traceable vessels and using DE-MRI perfusion maps yields numerical temperature contours that match the MR noninvasive measurements.” Med Phys 28, no. 11 (November 2001): 2289–96. https://doi.org/10.1118/1.1408619.
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    • Kang, S. K., R. H. Chou, R. K. Dodge, R. W. Clough, H. L. Kang, M. G. Bowen, B. A. Steffey, et al. “Acute urinary toxicity following transperineal prostate brachytherapy using a modified Quimby loading method.” Int J Radiat Oncol Biol Phys 50, no. 4 (July 15, 2001): 937–45. https://doi.org/10.1016/s0360-3016(01)01530-9.
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    • Craciunescu, O. I., S. K. Das, J. M. Poulson, and T. V. Samulski. “Three-dimensional tumor perfusion reconstruction using fractal interpolation functions.” Ieee Trans Biomed Eng 48, no. 4 (April 2001): 462–73. https://doi.org/10.1109/10.915713.
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    • Craciunescu, O. I., B. W. Raaymakers, A. N. T. J. Kotte, S. K. Das, T. V. Samulski, and J. J. W. Lagendijk. “A case study of hyperthermia induced temperature computations in human sarcomas using discrete vasculature and relative perfusion maps.” American Society of Mechanical Engineers, Heat Transfer Division, (Publication) Htd 370 (January 1, 2001): 29–35.
    • Craciunescu, O. I., S. K. Das, R. L. McCauley, J. R. MacFall, and T. V. Samulski. “3D numerical reconstruction of the hyperthermia induced temperature distribution in human sarcomas using DE-MRI measured tissue perfusion: validation against non-invasive MR temperature measurements.” Int J Hyperthermia 17, no. 3 (2001): 221–39. https://doi.org/10.1080/02656730110041149.
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    • Das, S. K., E. A. Jones, and T. V. Samulski. “A method of MRI-based thermal modelling for a RF phased array.” Int J Hyperthermia 17, no. 6 (2001): 465–82. https://doi.org/10.1080/02656730110068320.
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    • Craciunescu, O. I., S. K. Das, and T. V. Samulski. “Piecewise fractal interpolation models to reconstruct the three-dimensional tumor perfusion.” Annual International Conference of the Ieee Engineering in Medicine and Biology  Proceedings 1 (December 1, 2000): 292–305.
    • Craciunescu, O., S. K. Das, and M. W. Dewhirst. “Three-dimensional microvascular networks fractal structure: potential for tissue characterization?” American Society of Mechanical Engineers, Bioengineering Division (Publication) Bed 44 (December 1, 1999): 9–13.
    • Craciunescu, O. I., S. K. Das, and S. T. Clegg. “Dynamic contrast-enhanced MRI and fractal characteristics of percolation clusters in two-dimensional tumor blood perfusion.” J Biomech Eng 121, no. 5 (October 1999): 480–86. https://doi.org/10.1115/1.2835076.
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    • Das, S. K., S. T. Clegg, and T. V. Samulski. “Computational techniques for fast hyperthermia temperature optimization.” Med Phys 26, no. 2 (February 1999): 319–28. https://doi.org/10.1118/1.598519.
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    • Das, S. K., S. T. Clegg, and T. V. Samulski. “Electromagnetic thermal therapy power optimization for multiple source applicators.” Int J Hyperthermia 15, no. 4 (1999): 291–308. https://doi.org/10.1080/026567399285666.
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    • Das, S. K., and L. B. Marks. “Selection of coplanar or noncoplanar beams using three-dimensional optimization based on maximum beam separation and minimized nontarget irradiation.” Int J Radiat Oncol Biol Phys 38, no. 3 (June 1, 1997): 643–55. https://doi.org/10.1016/s0360-3016(97)89489-8.
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    • Clegg, S. T., S. K. Das, E. Fullar, S. Anderson, J. Blivin, J. R. Oleson, and T. V. Samulski. “Hyperthermia treatment planning and temperature distribution reconstruction: a case study.” Int J Hyperthermia 12, no. 1 (1996): 65–76. https://doi.org/10.3109/02656739609023690.
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    • Marks, L. B., G. W. Sherouse, S. Das, G. C. Bentel, D. P. Spencer, and D. Turner. “Conformal radiation therapy with fixed shaped coplanar or noncoplanar radiation beam bouquets: a possible alternative to radiosurgery.” Int J Radiat Oncol Biol Phys 33, no. 5 (December 1, 1995): 1209–19. https://doi.org/10.1016/0360-3016(95)02084-5.
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    • Clegg, S. T., S. K. Das, Y. Zhang, J. Macfall, E. Fullar, and T. V. Samulski. “Verification of a hyperthermia model method using MR thermometry.” Int J Hyperthermia 11, no. 3 (1995): 409–24. https://doi.org/10.3109/02656739509022476.
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    • Das, S. K., S. T. Clegg, M. S. Anscher, and T. V. Samulski. “Simulation of electromagnetically induced hyperthermia: a finite element gridding method.” Int J Hyperthermia 11, no. 6 (1995): 797–808. https://doi.org/10.3109/02656739509052336.
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    • Oleson, J., T. Samulski, S. Clegg, S. Das, and W. Grant. “Heating rate modeling and measurements in phantom and in vivo of the human upper extremity in a defective 2450 MHz microwave oven.” J Microw Power Electromagn Energy 29, no. 2 (1994): 101–8. https://doi.org/10.1080/08327823.1994.11688237.
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    • Samulski, T. V., S. T. Clegg, S. Das, J. MacFall, and D. M. Prescott. “Application of new technology in clinical hyperthermia.” Int J Hyperthermia 10, no. 3 (1994): 389–94. https://doi.org/10.3109/02656739409010283.
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    • Das, S. K., S. Utku, and M. Salama. “Parallelization of the Volterra algorithm for linear optimal open loop control.” Computational Mechanics 5, no. 4 (July 1, 1989): 305–20. https://doi.org/10.1007/BF01046948.
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  • Book Sections

    • Fried, D. V., and S. K. Das. “Technology based strategies to enhance the therapeutic ratio.” In Strategies to Enhance the Therapeutic Ratio of Radiation as a Cancer Treatment, 109–38, 2016. https://doi.org/10.1007/978-3-319-45594-5_5.
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    • Dewhirst, M., P. R. Stauffer, S. Das, O. I. Craciunescu, and Z. Vujaskovic. “Hyperthermia.” In Clinical Radiation Oncology, 381-398.e6, 2015. https://doi.org/10.1016/B978-0-323-24098-7.00021-6.
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    • Dewhirst, M., S. Das, P. Stauffer, O. Craciunescu, Z. Vujaskovic, and D. Thrall. “Hyperthermia.” In Clinical Radiation Oncology: Third Edition, 385–403, 2012. https://doi.org/10.1016/B978-1-4377-1637-5.00021-3.
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  • Conference Papers

    • Zagar, Timothy M., Orit Kaidar-Person, Xiaoli Tang, Ellen E. Jones, Jason Matney, Shiva K. Das, Rebecca L. Green, et al. “Utility of Deep Inspiration Breath Hold for Left-Sided Breast Radiation Therapy in Preventing Early Cardiac Perfusion Defects: A Prospective Study.” In Int J Radiat Oncol Biol Phys, 97:903–9, 2017. https://doi.org/10.1016/j.ijrobp.2016.12.017.
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    • Zhao, Jing, Ellen D. Yorke, Ling Li, Brian D. Kavanagh, X Allen Li, Shiva Das, Moyed Miften, et al. “Simple Factors Associated With Radiation-Induced Lung Toxicity After Stereotactic Body Radiation Therapy of the Thorax: A Pooled Analysis of 88 Studies.” In Int J Radiat Oncol Biol Phys, 95:1357–66, 2016. https://doi.org/10.1016/j.ijrobp.2016.03.024.
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    • Juang, T., J. Newton, S. Das, J. Adamovics, and M. Oldham. “Preliminary investigation and application of a novel deformable PRESAGE® dosimeter.” In J Phys Conf Ser, 444:12080, 2013. https://doi.org/10.1088/1742-6596/444/1/012080.
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    • Rankine, L., J. Bowsher, D. Brizel, F. Yin, and S. Das. “SU‐E‐J‐200: Impact of FDG‐PET/CT Reconstruction Parameters On PET Variability and Treatment Response Assessment.” In Medical Physics, 40:197, 2013. https://doi.org/10.1118/1.4814412.
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    • Oldham, M., J. Newton, L. Rankine, J. Adamovics, D. Kirsch, and S. Das. “How accurate is image guided radiation therapy (IGRT) delivered with a micro-irradiator?” In J Phys Conf Ser, 444:12070, 2013. https://doi.org/10.1088/1742-6596/444/1/012070.
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    • Chanyavanich, V., J. Lo, and S. Das. “SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans.” In Med Phys, 39:3837, 2012. https://doi.org/10.1118/1.4735661.
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    • Dick, D., S. Das, and J. Lo. “WE-G-BRCD-06: Knowledge-Based Intensity Modulated Radiotherapy (IMRT) Treatment Planning for Prostate Cancer.” In Med Phys, 39:3965–66, 2012. https://doi.org/10.1118/1.4736183.
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    • Chung, Y. H., C. Kelsey, and S. Das. “TH‐A‐BRA‐11: Treatment‐Induced Dosimetric/Volume Changes During the Course of Radiotherapy for Lung Cancer.” In Medical Physics, 39:3986, 2012. https://doi.org/10.1118/1.4736536.
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    • Das, S., J. Hoang, K. R. Choudhury, D. Yoo, and D. Brizel. “WE‐A‐217A‐02: The Impact of Fluorodeoxyglucose Positron Emission Tomography (FDG‐PET) Variability on the Assessment of Treatment Response in Head‐And‐Neck Cancer Patients Undergoing Chemoradiotherapy.” In Medical Physics, 39:3935–36, 2012. https://doi.org/10.1118/1.4736060.
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    • Mcgurk, R., J. Bowsher, V. Smith, J. Lee, and S. Das. “MO‐G‐BRA‐01: Optimal Image Filtration Strategies for PET Segmentation.” In Medical Physics, 39:3881, 2012. https://doi.org/10.1118/1.4735846.
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    • Newton, J., Y. Li, J. Adamovics, D. Kirsch, S. Das, and M. Oldham. “Identification of a Targeting Error in a Small Field Biological Irradiator Using 3D Dosimetry Techniques.” In Medical Physics, 39:3898–3898, 2012. https://doi.org/10.1118/1.4735914.
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    • Chanyavanich, V., S. Das, and J. lo. “SU‐E‐T‐851: An Inter‐Institutional Comparison of Knowledge‐Based IMRT Treatment Planning for Prostate Cancer.” In Medical Physics, 38:3687, 2011. https://doi.org/10.1118/1.3612815.
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    • Chawla, A., L. Marks, J. Deasy, J. Bradley, and S. Das. “WE‐G‐BRA‐01: A Framework to Determine Risk of Pneumonitis Following Radiotherapy for Lung Cancer.” In Medical Physics, 38:3826, 2011. https://doi.org/10.1118/1.3613406.
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    • Das, S. “TU‐G‐214‐03: Functional Imaging for Radiotherapy Guidance and Treatment Monitoring.” In Medical Physics, 38:3783–84, 2011. https://doi.org/10.1118/1.3613241.
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    • Mcgurk, R., T. Smith, and S. Das. “TU‐C‐211‐12: Performance of a Novel Region Growing Segmentation Method for Nuclear Medicine.” In Medical Physics, 38:3762, 2011. https://doi.org/10.1118/1.3613159.
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    • Newton, J., M. Oldham, Y. li, J. Adamovics, and S. Das. “MO‐G‐BRB‐02: Commissioning a Small Animal Irradiator Using 2D and 3D Dosimetry Techniques.” In Medical Physics, 38:3734, 2011. https://doi.org/10.1118/1.3613053.
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    • Chanyavanich, V., M. Freeman, S. Das, and J. lo. “SU‐GG‐T‐134: Knowledge‐Based IMRT Treatment Planning for Prostate Cancer.” In Medical Physics, 37:3215, 2010. https://doi.org/10.1118/1.3468524.
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    • Chawla, A., and S. Das. “MO‐EE‐A2‐04: A Framework to Determine the Risk of Developing Pneumonitis in Lung Cancer Patients Undergoing Radiotherapy.” In Medical Physics, 37:3349, 2010. https://doi.org/10.1118/1.3469088.
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    • Freeman, M. S., V. Chanyavanich, S. K. Das, and J. Y. lo. “SU‐GG‐T‐131: A Linear Metric of Knowledge‐Based IMRT Treatment Plan Quality for the Prostate.” In Medical Physics, 37:3214, 2010. https://doi.org/10.1118/1.3468521.
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    • O’daniel, J., M. Kishore, S. Das, Q. J. wu, S. Yoo, and F. Yin. “SU‐GG‐T‐225: Gantry‐Angle Dependence of a 2D Ion Chamber Array for IMAT QA.” In Medical Physics, 37:3237, 2010. https://doi.org/10.1118/1.3468616.
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    • Seger, J., L. Marks, and S. Das. “SU‐GG‐T‐491: Identifying Patients Who Will Potentially Benefit from Functional‐Guided Lung Avoidance in Thoracic Radiotherapy.” In Medical Physics, 37:3300, 2010. https://doi.org/10.1118/1.3468889.
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    • Yoo, S., S. Das, Q. wu, D. Brizel, and F. Yin. “SU‐GG‐T‐136: Treatment Plans Comparison with Static‐Gantry IMRT and RapidArcTM for Head‐And‐Neck Cancers Involving Cervical Lymph Nodes.” In Medical Physics, 37:3216, 2010. https://doi.org/10.1118/1.3468526.
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    • wu, Q., F. Yin, R. Mcmahon, X. Zhu, and S. Das. “SU‐GG‐T‐137: Similarities between Static and Rotational Intensity Modulated Plans.” In Medical Physics, 37:3216, 2010. https://doi.org/10.1118/1.3468527.
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    • Das, S., S. Chen, F. Yin, and L. Marks. “SU‐FF‐T‐498: Improving Normal Tissue Complication Probability Fits Using Non‐Binary Outcomes.” In Medical Physics, 36:2637–38, 2009. https://doi.org/10.1118/1.3181996.
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    • Das, S., and F. Yin. “SU‐FF‐T‐158: A Method to Overlay Biological Optimization On Traditional Dose‐Volume Constrained Intensity Modulated Radiotherapy (IMRT) Optimization.” In Medical Physics, 36:2556, 2009. https://doi.org/10.1118/1.3181632.
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    • O’daniel, J., R. Mcmahon, Z. Chang, H. Yan, H. Sakhalkar, S. Das, Q. wu, and F. Yin. “SU‐FF‐T‐314: Patient‐Specific Quality Assurance Techniques for RapidArc Radiotherapy.” In Medical Physics, 36:2593–94, 2009. https://doi.org/10.1118/1.3181794.
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    • Yoo, S., S. Das, Q. wu, D. Brizel, D. Yoo, and F. Yin. “SU‐FF‐T‐130: Radiotherapy Treatment Plans with RapidArc for Head‐And‐Neck Cancer.” In Medical Physics, 36:2549–50, 2009. https://doi.org/10.1118/1.3181604.
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    • Zhu, X., J. Bourland, Y. Yuan, T. Zhuang, J. O’daniel, D. Thongphiew, Q. wu, S. Das, S. Yoo, and F. Yin. “SU‐FF‐J‐56: Integrating Real‐Time Tracking Into Image Guided Radiation Therapy for Prostate Cancer Treatment.” In Medical Physics, 36:2488, 2009. https://doi.org/10.1118/1.3181348.
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    • Chen, S., S. Zhou, J. Hubbs, T. Wong, S. Borges‐neto, F. Yin, L. Marks, and S. Das. “WE‐C‐AUD B‐05: Predicting Radiation‐Induced Cardiac Perfusion Defects Using a Fusion Model.” In Medical Physics, 35:2934, 2008. https://doi.org/10.1118/1.2962692.
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    • Cheng, K., Z. Li, P. Stauffer, W. Joines, M. Dewhirst, and S. Das. “SU‐GG‐T‐366: Hyperthermia Treatment for a Patient with Two Shank Sarcomas Treated by a Fast Pre‐Treatment Optimization Method.” In Medical Physics, 35:2809, 2008. https://doi.org/10.1118/1.2962118.
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    • Das, S., L. Marks, and F. F. Yin. “MO‐D‐351‐07: A System to Dynamically Balance Dose Sparing Between Critical Structures in Intensity Modulated Radiation Therapy (IMRT).” In Medical Physics, 35:2868, 2008. https://doi.org/10.1118/1.2962358.
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    • Das, S., S. Chen, S. Zhou, F. Yin, J. Deasy, and L. Marks. “SU‐GG‐T‐406: Improving Lung Radiation‐Pneumonitis Prediction by Combining Different Models.” In Medical Physics, 35:2818, 2008. https://doi.org/10.1118/1.2962155.
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    • Reese, A., S. Das, and L. Marks. “TU‐D‐AUD B‐05: Quantifying the Dosimetric Trade‐Offs When Treating Targets with Concavities Using IMRT.” In Medical Physics, 35:2902, 2008. https://doi.org/10.1118/1.2962577.
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    • Stakhursky, V., K. Cheng, J. Macfall, P. Maccarini, P. Stauffer, and S. Das. “SU‐GG‐J‐164: Real‐Time Magnetic Resonance Imaging (MRI) Guidance and Thermal Modeling to Focus Hyperthermia Delivery.” In Medical Physics, 35:2717, 2008. https://doi.org/10.1118/1.2961713.
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    • Zhou, S., S. Das, F. Yin, S. Yoo, W. Lee, H. Yan, Q. Wu, Z. Wang, and L. Marks. “SU‐GG‐J‐81: Efficacy of Patient Setup Correction Procedure in Prostate Radiotherapy.” In Medical Physics, 35:2697, 2008. https://doi.org/10.1118/1.2961631.
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    • Cheng, K., V. Stakhursky, O. Craciunescu, P. Stauffer, M. Dewhirst, and S. Das. “SU‐GG‐T‐367: Fast Hyperthermia Temperature Optimization for Pelvic Carcinoma Patient Treated in Sigma‐Eye Applicator.” In Medical Physics, 35:2809–10, 2008. https://doi.org/10.1118/1.2962119.
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    • Chen, S., S. Zhou, J. Zhang, L. Marks, and S. Das. “WE‐D‐M100J‐03: A Neural Network Model to Predict Lung Radiation‐Induced Pneumonitis.” In Medical Physics, 34:2602, 2007. https://doi.org/10.1118/1.2761564.
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    • Das, S., S. Zhou, F. Yin, J. Zhang, and L. Marks. “SU‐FF‐T‐88: Augmenting Lyman NTCP by Adding the Influence of Non‐Dose Variables Via Decision Trees: Application to Lung Radiation‐Pneumonitis Prediction.” In Medical Physics, 34:2421, 2007. https://doi.org/10.1118/1.2760741.
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    • Mcguire, S., S. Zhou, L. Marks, M. Dewhirst, F. Yin, and S. Das. “TH‐E‐M100E‐03: Optimizing the Methodology for Incorporating SPECT‐Guidance to Reduce Intensity Modulated Radiation Therapy (IMRT) Dose to Functioning Lung.” In Medical Physics, 34:2654, 2007. https://doi.org/10.1118/1.2761773.
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    • Stakhursky, V., S. Das, S. Yoo, F. Yin, S. Kim, and B. Koontz. “SU‐FF‐J‐81: Estimation of Dose Variations During Prostate Radiation Treatment Due to Elastic Deformations of Soft Tissues.” In Medical Physics, 34:2386–87, 2007. https://doi.org/10.1118/1.2760586.
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    • Yoo, S., S. Das, S. Kim, B. Koontz, W. Lee, K. Light, and F. Yin. “SU‐FF‐J‐68: Dosimetric Comparison of Patient‐Specific Margins Vs. Uniform Margins for Prostate IMRT Treatments.” In Medical Physics, 34:2383–84, 2007. https://doi.org/10.1118/1.2760573.
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    • Zhou, S., S. Das, S. Chen, J. Zhang, and L. Marks. “TU‐EE‐A1‐04: Dimension Reduction Analysis of Dose Volume Histogram And Its Potential Application In Predicting Normal Tissue Complication Probability.” In Medical Physics, 34:2566, 2007. https://doi.org/10.1118/1.2761419.
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    • Das, S., and F. Yin. “SU‐FF‐T‐208: Efficient Selection of Beam Number and Orientations for Intensity Modulated Radiotherapy (IMRT) by Emulating An Ideal Dose Distribution.” In Medical Physics, 33:2096, 2006. https://doi.org/10.1118/1.2241130.
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    • Kim, S., S. Yoo, B. Koonts, S. Das, M. Anscher, and F. Yin. “WE‐E‐ValA‐03: Dosimetric Evaluation of Prostate IMRT Treatments Positioned Based On Cone‐Beam CT.” In Medical Physics, 33:2254, 2006. https://doi.org/10.1118/1.2241800.
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    • Mcguire, S., S. Zhou, L. Marks, M. Dewhirst, F. Yin, and S. Das. “TH‐C‐224C‐09: Using SPECT‐Guidance to Reduce Intensity Modulated Radiation Therapy (IMRT) Dose to Functioning Lung.” In Medical Physics, 33:2275, 2006. https://doi.org/10.1118/1.2241882.
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    • Wu, Q., H. Yan, F. Yin, S. Yoo, S. Das, and C. Willett. “SU‐FF‐J‐16: A Tool for Off‐Line Review of 3D Target Verification and Localization with Cone‐Beam Computed Tomography.” In Medical Physics, 33:2023, 2006. https://doi.org/10.1118/1.2240795.
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    • Zhou, S., H. Yan, Z. Wang, S. Yoo, S. Das, F. Yin, M. Anscher, and L. Marks. “SU‐FF‐J‐22: An Image Based Statistical Shape Model and Its Application in Radiotherapy Margin Design.” In Medical Physics, 33:2025, 2006. https://doi.org/10.1118/1.2240801.
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    • Wang, Z., F. Yin, T. Raidy, K. Kelly, M. Oldham, S. Das, S. Zhou, L. Marks, M. Kasibhatla, and C. Willett. “SU‐FF‐J‐30: Quantification of Normal Organ Motion Due to the Respiratory and Cardiac Cycles.” In Medical Physics, 32:1926, 2005. https://doi.org/10.1118/1.1997576.
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    • Craciunescu, O. I., S. K. Das, R. L. McCauley, and T. V. Samulski. “Hyperthermia induced 3D temperature distribution in a human sarcoma with tumor perfusion reconstructed using fractal interpolation functions.” In Asme International Mechanical Engineering Congress and Exposition, Proceedings (Imece), 2000-F:59–65, 2000. https://doi.org/10.1115/IMECE2000-2222.
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    • Craciunescu, O., S. K. Das, and M. W. Dewhirst. “THREE-DIMENSIONAL MICROVASCULAR NETWORKS FRACTAL STRUCTURE: POTENTIAL FOR TISSUE CHARACTERIZATION?” In Asme International Mechanical Engineering Congress and Exposition, Proceedings (Imece), 1999-E:9–13, 1999. https://doi.org/10.1115/IMECE1999-0571.
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