Publications

  1. S Olberg,LL Thompson, HJ Roberts, JY Wo, TS Hong, J Wolfgang, C Grassberger, J Pursley. Evaluating CBCT-Guided Adaptive Radiotherapy for Pancreatic Cancer Using Synthetic CBCT Data. Curr Oncol. 2025. org/10.3390/curroncol32020060
  2. S Olberg,D McClatchy, C Foote, S Yan, J Pursley. Commissioning a Standalone Adaptive Radiotherapy Linac in a Multi-vendor Environment. JACMP. 2025 Mar 10:e70033. org/10.1002/acm2.70033
  3. CKS Park and A Aziz, T Trumpour, I Gyacskov, L Gardi, J Bax, D Tessier, A Fenster (2025) Three-dimensional Complementary Breast Ultrasound (CBUS): Improving 3D spatial resolution uniformity with orthogonal images. Med Phys. 2025 2025 Jan 22. org/10.1002/mp.17626
  4. Choulilitsa, E., Bobić, M.,Winey, B. A., Paganetti, H., Lomax, A. J., & Albertini, F. (2025). Multi-institution investigations of online daily adaptive proton strategies for head and neck cancer patients. Physics in Medicine and Biology, 2025 Mar 11;70(6), org/10.1088/1361-6560/adbb51
  5. Morris, T.,Rajapakse, A., Lyatskaya, Y., Zygmanski, P., Bredfeldt, J., Sajo, E. and Brivio, D., Pulsed beam monitoring for electron FLASH. Medical Physics. 2025 Mar;52(3):1810-1822. org/10.1002/mp.17553
  6. Rajapakse, A., Zygmanski, P., Outwater, C., Sajo, E. and Brivio, D., 2025. Remote Sensing of High Energy Particle Current Generated by Megavoltage X-rays. Medical Physics. 2025 Mar org/10.1002/mp.17756
  7. Choi BS, Beltran CJ, Olberg S, Liang X, Lu B, Tan J, Parisi A, Denbeigh J, Yaddanapudi S, Kim JS, Furutani KM, Park JC, Song B. Enhanced IDOL segmentation framework using personalized hyperspace learning IDOL. Med Phys. 2024 Nov;51(11):8568-8583. org/10.1002/mp.17361
  8. Kang M, Quintana J, Hu H, Teixeira VC, Olberg S, Banla LI, Rodriguez V, Hwang WL, Schuemann J, Parangi S, Weissleder R, Miller MA. Sustained and Localized Drug Depot Release Using Radiation-Activated Scintillating Nanoparticles. Adv Mater. 2024 Jun;36(23):e2312326. org/10.1002/adma.202312326
  9. Bobić, M., Choulilitsa, E., Lee, H., Czerska, K., Christensen, J. B., Mayor, A., Safai, S., Winey, B. A., Weber, D. C., Lomax, A. J., Paganetti, H., Nesteruk, K. P., & Albertini, F. (2024). Multi-institutional experimental validation of online adaptive proton therapy workflows. Physics in Medicine and Biology, 69(16), 165021. org/10.1088/1361-6560/ad6527
  10. Bookbinder, A., Bobić, M., Sharp, G. C., & Nenoff, L. (2024). An operator-independent quality assurance system for automatically generated structure sets. Physics in Medicine and Biology, 69(17), 175003. org/10.1088/1361-6560/ad6742
  11. Bobić, M.,Huesa-Berral, C., Terry, J. F., Kunz, L. V., Schuemann, J., Fisher, D. R., Maitz, C., & Bertolet, A.. Monte Carlo dosimetric analyses on the use of 90Y-IsoPet intratumoral therapy in canine subjects. Physics in Medicine and Biology, 2024 69(16), 165014. org/10.1088/1361-6560/ad67a4
  12. Ababneh, H., Bobić, M.,Pursley, J., & Patel, C.. On Route to Chimeric Antigen Receptor T-cell (CAR T) Therapy, Less Is More: Adaptive Bridging Radiotherapy in Large B-cell Lymphoma. Cureus, 2024 16(8), e67572. org/10.7759/cureus.67572
  13. Zygmanski, P., Rajapakse, A., Outwater, C., Sajo, E. and Brivio, D., 2024. Remote sensing of high energy particle currents (HEC): towards HEC radiography. Journal of Physics D: Applied Physics, 57(28), p.285403. org/10.1088/1361-6463/ad3d69
  14. Daartz J, Madden TM, Lalonde A, Cascio E, Verburg J, Shih H, MacDonald S, Hachadorian R,  Schuemann J. Voxel-wise dose rate calculation in clinical pencil beam scanning proton therapy. Phys Med Biol 2024 69 065003. doi 10.1088/1361-6560/ad2713
  15. Lin MH, Olsen L, Kavanaugh JA, Jacqmin D, Lobb E, Yoo S, Berry SL, Pichardo JC, Cardenas CE, Roper J, Kirk M, Bennett S, Cheung JP, Solberg TD, Moore KL, Kim M. Ensuring High Quality Treatment Plans with a Plan Quality Review Checklist. Pract Radiat Oncol 2024 https://doi.org/10.1016/j.prro.2024.08.008
  16. Zygmanski P, Rajapakse A, Brivio D. Remote sensing of high energy charged particle current (HEC) for megavoltage therapeutic electron beams. Phys Med Biol 2024; 69 17NT02. https://doi.org/10.1088/1361-6560/ad6e50
  17. Park CKS, Stanley N, Kaza E, Sudhyadhom A. Toward Adaptive Dose Painting with Hypoxia Biomarkers: Optimization of MP2RAGE T1 Mapping in Low-Field MR-Linac for Hypoxia-Guided Radiotherapy. Med Phys. 2024; 1-17. https://doi.org/10.1002/mp.17353
  18. Bennett S, Verry C, Kaza E, Miao X, Dufort S, Boux F, Cremillieux Y, de Beaumont O, Le Duc G, Berbeco R, Sudhyadhom A.  Quantifying gadolinium-based nanoparticle uptake distributions in brain metastases via magnetic resonance imaging. Sci Rep 14, 11959 (2024). https://doi.org/10.1038/s41598-024-62389-1
  19. M Bobić, A Lalonde, KP Nesteruk, H Lee, L Nenoff, BL Gorissen, A Bertolet, PM Busse, AW Chan, BA Winey, GC Sharp, JM Verburg, AJ Lomax, H Paganetti. Large anatomical changes in head-and-neck cancers – A dosimetric comparison of online and offline adaptive proton therapy. Clin Trans Radiation Oncol 2023. https://doi.org/10.1016/j.ctro.2023.100625
  20. Lalonde A, Bobić M, Sharp GC, Chamseddine I, Winey W, Paganetti H. Evaluating the effect of setup uncertainty reduction and adaptation to geometric changes on normal tissue complication probability using online adaptive head and neck intensity modulated proton therapy. Phy Med Biol 2023.  https://doi.org/10.1088/1361-6560/acd433
  21. Brown N, Rocchi P, Carmès L, Guthier R, Iyer M, Seban L, Morris T, Bennett S, Lavelle M, Penailillo J, Carrasco R, Williams C, Huynh E, Han Z, Kaza E, Doussineau T, Toprani SM, Qin X, Nagel ZD, Sarosiek KA, Hagège A, Dufort S, Bort G, Lux F, Tillement O, Berbeco R. Tuning ultrasmall theranostic nanoparticles for MRI contrast and radiation dose amplification. Theranostics. 2023. doi:10.7150/thno.85663
  22. Qiu Z, Olberg S, den Hertog D, Ajdari A, Bortfeld T, Pursley J. Online adaptive planning methods for intensity-modulated radiotherapy.  Phys Med Biol 68 (2023) 10TR01. https://doi.org/10.1088/1361-6560/accdb2
  23. Nenoff L, Buti G, Bobić M, Lalonde A, Nesteruk KP, Winey BA, Sharp GC, Sudhyadhom A, Paganetti H. Integrating Structure Propagation Uncertainties in the Optimization of Online Adaptive Proton Therapy Plans. Cancers 2022. https://doi.org/10.3390/cancers14163926
  24. Nesteruk KP, Bobić M, Sharp GC, Lalonde A, Winey BA, Nenoff L, Lomax AJ, Paganetti H. Low-Dose Computed Tomography Scanning Protocols for Online Adaptive Proton Therapy of Head-and-Neck Cancers.  Cancers 2022. https://doi.org/10.3390/cancers14205155
  25. Dou T, Clasie B, Depauw N, Shen T, Brett R, Lu H-M, Flanz JB, Jee K-W.  A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system.  Artificial Intelligence in Medicine. 2022 132:102387. https://doi.org/10.1016/j.artmed.2022.102387
  26. Nesteruk KP, Bobić M, Lalonde A, Winey BA, Lomax AJ, Paganetti H. CT-on-Rails Versus In-Room CBCT for Online Daily Adaptive Proton Therapy of Head-and-Neck Cancers. Cancers (Basel). 2021 Nov 28;13(23):5991. doi: 10.3390/cancers13235991. PMID: 34885100; PMCID: PMC8656713.
  27. Lauber R, Brivio D, Sajo E, Hesser J, Zygmanski P. Remote sensing array (RSA) for linac beam monitoring. Phys Med Biol. 2022 Feb 24;67(5). doi: 10.1088/1361-6560/ac530d. PMID: 35134790.
  28. Kaza E, Lee CY, King MT, Dyer MA, Cormack RA, Buzurovic I. First pointwise encoding time reduction with radial acquisition (PETRA) implementation for catheter detection in interstitial high-dose-rate (HDR) brachytherapy. Brachytherapy. 2022 Mar 22:S1538-4721(22)00006-X. doi: 10.1016/j.brachy.2022.01.003. Epub ahead of print. PMID: 35337748.
  29. Xing S, Shin J, Pursley J, Correa-Alfonso CM, Depauw N, Domal S, Withrow J, Bolch W, Grassberger C, Paganetti H. A dynamic blood flow model to compute absorbed dose to circulating blood and lymphocytes in liver external beam radiotherapy. Phys Med Biol. 2022 Feb 15;67(4):10.1088/1361-6560/ac4da4. doi: 10.1088/1361-6560/ac4da4. PMID: 35061601; PMCID: PMC8985306.
  30. Shin J, Xing S, McCullum L, Hammi A, Pursley J, Correa CA, Withrow J, Domal S, Bolch W, Paganetti H, Grassberger C. HEDOS-a computational tool to assess radiation dose to circulating blood cells during external beam radiotherapy based on whole-body blood flow simulations. Phys Med Biol. 2021 Aug 3;66(16):10.1088/1361-6560/ac16ea. doi: 10.1088/1361-6560/ac16ea. PMID: 34293735; PMCID: PMC8720566. [winner 2022 Roberts Prize for best paper in PMB]
  31. Y. Lee, E. Kaza, P.M. Devlin, R.A. Cormack, I. Buzurovic. Feasibility of magnetic resonance-only high-dose-rate surface brachytherapy for clinical application. Med Phys. 2021 Sep 14. https://doi.org/10.1002/mp.15224
  32. Xu, T. Harris, D. O’Farrell, R. Cormack, L. Lee, M. King, I. Buzurovic. Interfraction dose deviation and catheter position in cervical interstitial and intracavitary image guided HDR brachytherapy. Med Dosim. 2021 Oct 23:S0958-3947(21)00088-1. https://doi.org/10.1016/j.meddos.2021.09.005
  33. C. Kamran, D.M. McClatchy 3rd, J. Pursley, A.V. Trofimov, K. Remillard, A. Saraf, A. Ghosh, A. Thabet, P. Sutphin, D.T. Miyamoto, J.A. Efstathiou. Characterization of an Iodinated Rectal Spacer for Prostate Photon and Proton Radiation Therapy. Pract Radiat Oncol. 2021 Oct 5:S1879-8500(21)00272-1. https://doi.org/10.1016/j.prro.2021.09.009
  34. Lee, J Pursley, H-M Lu, J. Adams, T. DeLaney, Y-L Chen, K-W Jee.  A proof of concept treatment planning study of gated proton radiotherapy for cardiac soft tissue sarcoma.  Physics in Imaging in Radiation Oncology, 2021.  https://doi.org/10.1016/j.phro.2021.06.001
  35. Zeleznik, J. Weiss, J. Taron, C.V. Guthier, D.S. Bitterman, C. Hancox, B.H. Kann, D.W. Kim, R.S. Punglia, J. Bredfeldt, B. Foldyna, P. Eslami, M.T. Lu, U. Hoffmann, R. Mak & H.J.W.L. Aerts.  Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. npj Digital Medicine, 2021.  https://doi.org/10.1038/s41746-021-00416-5
  36. Guthier CV, Orio III PF, Buzurovic I, Cormack RA. Knowledge‐based Inverse Treatment Planning for Low‐Dose‐Rate Prostate Brachytherapy. Medical Physics, 2021. https://doi.org/10.1002/mp.14775
  37. A Lalonde, Bobic, B.A. Winey, J.M. Verburg, G.C. Sharp, H. Paganetti. Anatomic changes in head and neck intensity-modulated proton therapy: comparison between robust optimization and online adaptation. Radiotherapy and Oncology, 2021. https://doi.org/10.1016/j.radonc.2021.03.008
  38. Bobic, A. Lalonde, G.C. Sharp, C. Grassberger, J.M. Verburg, B.A. Winey, A.J. Lomax, H. Paganetti. Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy. Phys Med Biol 2021. https://iopscience.iop.org/article/10.1088/1361-6560/abe050
  39. Brivio, E Sajo, P. Zygmanski.  Self-powered multilayer radioisotope identification device, Medical Physics, 2021. https://doi.org/10.1002/mp.14717
  40. Brivio, E Sajo, P. Zygmanski. Gold nanoparticle detection and quantification in therapeutic MV beams via pair production, Phys Med Biol 2021. https://doi.org/10.1088/1361-6560/abd954. Invited Submission:  Focus on Early Career Researchers in Physics and Medicine and Biology
  41. Huynh, M. Bhagwat. Scintillation markers for real-time visual source tracking during skin high dose rate brachytherapy.  Medical Physics, 2020.  https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14483
  42. McClatchy DM, Willers H, Hata AN, Piotrowska Z, Sequist LV, Paganetti H, Grassberger C. Modeling Resistance and Recurrence Patterns of Combined Targeted Chemoradiotherapy Predicts Benefit of Shorter Induction Period, Cancer Research, 2020.  DOI: 1158/0008-5472.CAN-19-3883
  43. Huynh, A. Hosny, C. V. Guthier, D. Bitterman, S. Petit, D. A. Haas-Kogan, B. Kann, H. J. L. W. Aerts, and R. H. Mak. Artificial Intelligence in Radiation Oncology, Nature Reviews Clinical Oncology, Aug. 2020.
  44. H Lee, TC Mauceri, MS Bhagwat, CG Patel, Water Bath Radiation for Extensive, Extremity-Based Cutaneous Disease of Mycosis Fungoides,
    Advances in Radiation Oncology, 2020. https://doi.org/10.1016/j.adro.2020.07.006
  45. Lalonde A, Winey BA, Verburg JM., Paganetti H, Sharp GC. Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy. Phys Med Biol 2020.
  46. Albert, D Brivio, S. Aldelaijan, E. Sajo, J. Hesser, P. Zygmanski. Towards customizable thin-panel low-Z detector arrays: Electrode design for increased spatial resolution ion chamber arrays, Phys Med Biol 65 08NT02, 2020. https://doi.org/10.1088/1361-6560/ab8109
  47. D Brivio, S Albert, MP Gagne, E Freund, E Sajo, P Zygmanski. Nanoporous aerogel-based periodic high-energy electron current (HEC) X-ray sensors J. Phys. D: Appl. Phys. 53 265303, 2020.  https://doi.org/10.1088/1361-6463/ab83c0
  48. Guthier CV, Devlin PM., Harris TC., O’Farrell DA, Cormack RA. and Buzurovic I., Development and clinical implementation of semi‐automated treatment planning including 3D printable applicator holders in complex skin brachytherapy. Phys 47:3, 2020.
  49. D Brivio, L. Naumann, S. Albert, E. Sajo, P. Zygmanski. 3D printing for prototyping of low-Z, low-density thin radiation sensor arrays. Med. Phys. 46 (12), 5770-5779, 2019.
  50. D Brivio, S. Albert, E. Freund, M. P. Gagne, E. Sajo, P. Zygmanski.  Self‐powered nano‐porous aerogel x‐ray sensor employing fast electron current. Med. Phys. 46 (9), 4233-4240, 2019.
  51. Grassberger C, McClatchy DM, Geng C, Kamran SC, Fintelmann F, Maruvka YE, Z Piotrowska, H Willers, LV Sequist, AN Hata and H Paganetti. Patient-specific tumor growth trajectories determine persistent and resistant cancer cell populations during treatment with targeted therapies. Cancer Res 2019;79:3776–88.
  52. Xu Y, Hosny A, Zeleznik R, Parmar C, Coroller T, Franco I, Mak RH and Aerts HJWL. Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging.  Clinical Cancer Research 2019.
  53. Cai W, Oesten H, Clasie B, Winey B, Jee K-W.  Semi-automated IGRT QA using a cone-shaped scintillator screen detector for proton pencil beam scanning treatments.  Phys Med Biol 64(8) 085004, 2019.
  54. Dou TH, Coroller TP, van Griethuysen JJM, Mak RH, Aerts HJWL. Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC. PLoS ONE 13(11): e0206108, 2018.
  55. Hueso-Gonzalez F, Rabe M, Ruggieri T, Bortfeld T, Verburg JM.  A full-scale clinical prototype for proton range verification using prompt gamma-ray spectroscopy.  Phys Med Biol 63(18) 185019, 2018. (Featured Article)
  56. Lin Y, Bentefour H, Flanz J, Kooy H, Clasie, B. Design of a QA method to characterize submillimeter-sized PBS beam properties using a 3D ionization chamber array. Phys Med Biol 63(10) 105007, 2018.
  57. Baer E, Lalonde A, Zhang R, Jee KW, Yang K, Sharp G, Liu B, Royle G, Bouchard H, Lu HM, Experimental validation of two dual-energy CT methods for proton therapy using heterogeneous tissue samples. Med Phys, 45(1):48-59, 2017.
  58. Zhang R, Jee KW, Cascio EW, Sharp GC, Flanz JB, Lu HM.  Improvement of single detector proton radiography by incorporating intensity of time-resolved dose rate functions. Phys. Med. Biol 63(1) 2017.
  59. Coroller TP, Bi WL, Huynh E, Abedalthagafi M, Aizer AA, Greenwald NF, Parmar C, Narayan V, Wu WW, Miranda de Moura S, Gupta S, Beroukhim R, Wen PY, Al-Mefty O, Dunn IF, Santagata S, Alexander BM, Huang RY, Aerts HJ, Radiographic prediction of meningioma grade by semantic and radiomic features, PLoS One 12(11): e0187908, 2017.
  60. Yip SS, Parmar C, Kim J, Huynh E, Mak R, Aerts HJ, Impact of experimental design on PET radiomics in predicting somatic mutation status. Eur J Radiol 97: 8-15, 2017.
  61. Zhang R, Baer E, Sharp GC, Flanz J, Jee KW, Lu HM, Investigation of real tissue water equivalent path lengths using an efficient dose extinction method.  Phys. Med. Biol. 62(14): 5640-5651, 2017.
  62. Jee K-W, Zhang R, Bentefour E, Doolan PJ, Cascio E, Sharp G, Flanz J, Lu H-M, Investigation of time-resolved proton radiography using x-ray flat-panel imaging system.  Phys. Med. Biol. 62(5): 1905–1919, 2017.
  63. Myronakis M, Cai W, Dhou S, Cifter F, Hurwitz M, Segars P, Berbeco RI and Lewis JH, “A graphical User Interface for XCAT phantom configuration, generation and processing,” Biomed. Phys. Eng. Express 3(1), 017003 (2017).
  64. Lin Y, Clasie B, Lu HM, Flanz J, Shen T, Jee KW, “Impacts of gantry angle dependent scanning beam properties on proton PBS treatment.” Phys Med Biol 62(2): 344-357, 2017.
  65. Coroller TP, Agrawal V, Huynh E, Narayan V, Lee SW, Mak RH, Aerts HJ, Radiomic-based pathological response prediction from primary tumors an lymph nodes in NSCLC.” J Thoracic Oncology, 2017.
  66. Huynh E, Coroller TP, Narayan V, Agrawal V, Romano J, Franco I, Parmar C, Hou Y, Mak RH, Aerts HJ, “Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT.” PLoS ONE 12(1): e0169172, 2017.
  67. Yip SS, Kim J, Coroller T, Parmar C, Rios Velazquez E, Huynh E, Mak R, Aerts HJ. “Associations between somatic mutations and metabolic imaging phenotypes in non-small cell lung cancer.” J Nucl Med 2016.
  68. Lin Y, Kooy H, Craft D, Depauw N, Flanz J, Clasie B. “A Greedy reassignment algorithm for the PBS minimum monitor unit constraint.” Phys Med Biol. 61(12):4665-78, 2016.
  69. Yip SS, Coroller TP, Sanford NN, Huynh E, Mamon H, Aerts HJ, Berbeco RI. “Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction.” Phys Med Biol, 61(2):906-22, 2016.
  70. Huynh E, Coroller TP, Narayan V, Agrawal V, Hou Y, Romano J, Franco I, Mak RH, Aerts HJ. “CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer.” Radiother Oncol 120(2), 258-66, 2016.
  71. Yan, H-M Lu, J. Flanz, J. Adams, A. Trofimov, T. Bortfeld. “Reassessment of the necessity of the proton gantry: analysis of beam orientations from 4332 treatments at the Massachusetts General Hospital (MGH) proton center over the past 10 years.” Int J Radiat Oncol Biol Phys, 95(1), 224-33, 2016.
  72. Cai, S. Dhou, F. Cifter, M. Myronakis, M. Hurwitz, C. Williams, R. Berbeco, J. Seco, J. Lewis, “4D cone beam CT-based dose assessment for SBRT lung cancer treatment.” Phys Med Biol, 61, 554-568, 2016.
  73. Lin, S. J. McMahon, H. Paganetti, J. Schuemann. “Gold nanoparticle induced vasculature damage in radiotherapy: Comparing protons, megavoltage photons, and kilovoltage photons.” Med Phys 42(10), 2015. (Editors Pick Article)
  74. Cai, M. Hurwitz, C. Williams, S. Dhou, R. Berbecco, J. Seco, P. Mishra, J. Lewis, “3D delivered dose assessment using a 4DCT-based motion model”, Med Phys, 42(6) 2897-2907, 2015.
  75. Dhou S, Hurwitz M, Mishra P, Cai WX, Rottmann J, Li R, Williams C, Wagar M, Berbeco R, Ionascu D, Lewis J, “3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models”, Phys Med Biol, 60, 3807-3824,, 2015.
  76. Lin, S. J. McMahon, H. Paganetti, J. Schuemann. “Biological modeling of gold nanoparticle enhanced radiotherapy for proton therapy.” Phys Med Biol, 60(10), 4149-4168,, 2015.
  77. Hurwtiz, C.L. Williams, P. Mishra, J. Rottmann, S. Dhou, M. Wagar, E. Mannarino, R. Mak, J.H. Lewis, “Generation of fluoroscopic 3D images with a respiratory motion model based on an external surrogate signal”, Phys Med Biol, 60(2), 521-536, 2015.
  78. Lin, S..J.McMahon, M. Scarpelli, H. Paganetti and J. Schuemann, “Comparing gold nano-particle enhanced radiotherapy with protons, megavoltage photons and kilovoltage photons: a Monte Carlo simulation.” Phys Med Biol 59(24), 7675-7689, 2014. [one of PMB Highlights of 2014 collection]
  79. J Liebl, H Paganetti, M Zhu, and B Winey, “The influence of patient positioning uncertainties in proton radiotherapy on proton range and dose distributions”, Med Phys 41(9), 091711 (2014)
  80. M Zhu, T Botticello, HM Lu, B Winey, “Long-term stability and mechanical characteristics of kV digital imaging system for proton radiotherapy”, Med Phys 41(4), 041706 (2014)
  81. St. James, J. Seco, P. Mishra and J. H. Lewis “Simulations using patient data to evaluate systematic errors that may occur in 4D treatment planning: A proof of concept study” Med. Phys. 40:091706; 2013.
  82. L. Williams, P. Mishra, J. Seco, S. St. James, R. Mak, R. Berbeco, and J. Lewis, “A mass-conserving 4D XCAT phantom for dose calculation and accumulation”, Med. Phys. 40 (7)071728-1 – 071728-10,  July 2013.
  83. J. Riley, J. Seco and P.J. Binns “Measurements of the prompt gamma signal in a clinical proton therapy environment.” Trans. Am. Nucl. Soc. 106: 77-79 2012.
  84. Cascio, K. J. Riley, J. McCormack and R.Flanagan “Single Event Effects in Power MOSFETs Due to the Secondary Neutron Environment in a Proton Therapy Center.” IEEE Trans. Nucl. Sci, vol. 59, No. 6, pp 3154-3159, Dec. 2012.
  85. St. James, P. Mishra, R. I. Berbeco and J. H. Lewis, “Quantifying ITV Instabilities Arising from 4DCT: a simulation study using patient data”, March 2012, Physics in Medicine and Biology, 57 L1-L7 (Editor’s Choice Article)
  86. Mishra, S. St. James, W. P. Segars, R. I Berbeco and J. H. Lewis, “Adaptation and applications of a realistic digital phantom based on patient lung tumor trajectories”, Physics in Medicine and Biology, 57(11) 3597 , June 2012.
  87. St. James, J. Seco, P. Mishra and J. H. Lewis, “A dynamic 4D Monte Carlo framework to quantitatively evaluate limitations of 4D treatment planning in external beam radiation therapy” Submitted to Physics in Medicine and Biology (August 2012).
  88. Mishra, R. Li, S. St. James, R. H. Mak, C. L. Williams, Y. Yue, R. I. Berbeco and J. H. Lewis “Evaluation of 3D fluoroscopic image generation from a single planar treatment image on patient data with a modified XCAT phantom”, Phys Med Biol. 58(4):841-58, 2013
  89. Yuan, O.C. Andronesi, T.R. Bortfeld, C. Richter, R. Wolf, A.S. Guimasraes, T.S. Hong, and J. Seco, “Feasibility study of in vivo MRI based dosimetric verification of proton end-of-range for liver cancer patients,” Radiother. Oncol., Mar; 106(3):378-82; 2013.
  90. Pursley, P. Risholm, A. Fedorov, K. Tuncali, F. M. Fennessy, W. Wells III, C. M. Tempany, and R. A. Cormack, “A Bayesian non-rigid registration method to enhance intra-operative target definition in image-guided prostate procedures through uncertainty characterization.” Med. Phys. 39 (11), 6858-6867 (2012).
  91. Trofimov, P. L. Nguyen, J. A. Efstathiou, Wang, H. Lu, M. Engelsman, S.Merrick, C. Cheng, J. R. Wong and A. L. Zietman, “Interfractional variations in the setup of pelvic bony anatomy and soft tissue, and their implications on the delivery of proton therapy for localized prostate cancer,” Int. J. Radiat. Oncol. Biol. Phys. 80: 928-937; 2011.
  92. Wang, J. A. Efstathiou, G. C. Sharp, H. Lu, I. Ciernik, A. Trofimov, “Evaluation of the dosimetric impact of inter-fractional anatomical variations on prostate proton therapy using daily in-room CT images,” Med. Phys. 38: 4623-4633; 2011.
  93. S Bhagwat, Z. Han, S. Kie. Ng and P. Zygmanski. “An oscillating sweeping gap test for VMAT quality assurance.” Phys. Med. Biol. 55: 5029-5044; 2011.
  94. S. Bhagwat, Z. Han, and P. Zygmanski “An oscillating sweeping gap test for VMAT quality assurance.” Phys. Med. Biol. 55; 5029-5044; 2010.
  95. Tsiamas, J. Seco, Z. Han, M. Bhagwat, J. Maddox, C. Kappas, K. Theodorou, M. Makrigiorgos, K. J. Marcus, and P. Zygmanski “A modification of flattening filter free linac for IMRT.” Med. Phys. 38: 2342-2352; 2011.
  96. Han, S. K. Ng, M. S. Bhagwat, Y. Lyatskaya, and P. Zygmanski “Evaluation of MatriXX for IMRT and VMAT dose verifications in peripheral dose regions.” Med. Phys. 37: 3704-3714; 2010.