Student Publications | Medical Physics | College of Engineering | University of Miami

GET STARTED
1
Request Info
2
Visit
3
Apply

Student Publications

Peer-reviewed Publications - Graduate Students (2016 – 2024)

  1. Xu Y, Jin W, Butkus M, De Ornelas M, Cyriac J, Studenski MT, Padgett K, Simpson G, Samuels S, Samuels M, Dogan N. Cone beam CT-based adaptive intensity modulated proton therapy assessment using automated planning for head-and-neck cancer. Radiat Oncol. 2024 Jan 23;19(1):13. doi:10.1186/s13014-024-02406-9.
  2. Hara D, Schmidt RM, Wensi Tao, Yupin Yang, Nesrin Dogan, Sylvia Daunert, Alan Polack, John Chetley Ford, Junwei Shi, Chapter 6 - Theranostic gold nanoparticle-assisted tumor radiosensitization and imaging, in Gold Nanoparticles for Drug Delivery, P. Kesharwani, Editor. 2024, Academic Press. p. 167-195.
  3. Vega JD, Hara D, Schmidt RM, Abuhaija MB, Tao W, Dogan N, Pollack A, Ford JC, Shi J. In vivo active-targeting fluorescence molecular imaging with adaptive background fluorescence subtraction. Front Oncol. 2023 Mar 14;13:1130155. doi:10.3389/fonc.2023.1130155.
  4. Guevara B, Cullison K, Maziero D, Azzam GA, De La Fuente MI, Brown K, Valderrama A, Meshman J, Breto A, Ford JC, Mellon EA: Simulated Adaptive Radiotherapy for Shrinking Glioblastoma Resection Cavities on a Hybrid MRI-Linear Accelerator. Cancers (Basel). 2023 Mar 2;15(5):1555. http://doi.org/10.3390/cancers15051555
  5. Xu Y, Williamson JF, Dogan N, Harry T, Ford JC: A novel edge gradient distance metric for automated evaluation of deformable image registration quality, Physica Medica, Volume 103, 2022, Pages 26-36, ISSN 1120-1797, https://doi.org/10.1016/j.ejmp.2022.09.010
  6. Xu Y, Jin W, Michael Butkus et al. Cone Beam CT-Based Adaptive Intensity Modulated Proton Therapy Assessment Using Automated Planning for Head-and-Neck Cancer, 2022, Research Square https://doi.org/10.21203/rs.3.rs-2322626/v1

  7. Hara D, Tao W, Schmidt RM, Yang YP, Daunert S, Dogan N, Ford JC, Pollack A, Shi J. Boosted Radiation Bystander Effect of PSMA-Targeted Gold Nanoparticles in Prostate Cancer Radiosensitization. Nanomaterials (Basel). 2022 Dec 14;12(24):4440. https://doi.org/10.3390/nano12244440

  8. Schmidt RM, Hara D, Vega JD, Abuhaija MB, Tao W, Dogan N, Pollack A, Ford JC, Shi J. Quantifying Radiosensitization of PSMA-Targeted Gold Nanoparticles on Prostate Cancer Cells at Megavoltage Radiation Energies by Monte Carlo Simulation and Local Effect Model. Pharmaceutics. 2022 Oct 17;14(10):2205. https://doi.org/10.3390/pharmaceutics14102205.

  9. Butkus MP, Brovold N, Diwanji T, Xu Y, De Ornelas M, Dal Pra A, Abramowitz M, Pollack A, Dogan N. Assessment of IMPT versus VMAT plans using different uncertainty scenarios for prostate cancer. Radiat Oncol. 2022 Sep 29;17(1):162. https://doi.org/10.1186/s13014-022-02126-y
  10. Schmidt, R.M., Delgadillo, R., Ford, J.C. et al. Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer. Sci Rep 11, 22737 (2021). https://doi.org/10.1038/s41598-021-02154-w
  11. Hu Q, Padron K, Hara D, Shi J, Pollack A, Prabhakar R, Tao W. Interactions of Urea-Based Inhibitors with Prostate-Specific Membrane Antigen for Boron Neutron Capture Therapy. ACS Omega. 2021 Dec 1;6(49):33354-33369. https://doi.org/10.1021/acsomega.1c03554.
  12. Xu Y, Cyriac J, De Ornelas M, Bossart E, Padgett K, Butkus M, Diwanji T, Samuels S, Samuels MA and Dogan N (2021) Knowledge-Based Planning for Robustly Optimized Intensity-Modulated Proton Therapy of Head and Neck Cancer Patients. Front. Oncol. 11:737901. https://doi.org/10.3389/fonc.2021.737901
  13. Xu Y, Brovold N, Cyriac J, Bossart E, Padgett K, Butkus M, Diwanj T, King A, Dal Pra A, Abramowitz M, Pollack A, Dogan N. Assessment of Knowledge-Based Planning for Prostate Intensity Modulated Proton Therapy. Int J Part Ther. 2021 Jun 15;8(2):62-72. https://doi.org/10.14338/IJPT-20-00088.1
  14. Xu Y, Diwanji T, Brovold N, Butkus M, Padgett K, Schmidt R, King A, Dal Pra A, Abramowitz M, Pollack A, and Dogan N: Assessment of daily dose accumulation for robustly optimized intensity modulated proton therapy treatment of prostate cancer. Phys Med, 2021, 81:77-85. https://doi.org/10.1016/j.ejmp.2020.11.035
  15. De Ornelas M, Xu Y, Padgett, K, Schmidt R, Butkus M, Diwanji T, Luciani G, Lambiase J, Samuels S, and Samuels M: CBCT-Based Adaptive Assessment Workflow for Intensity Modulated Proton Therapy for Head and Neck Cancer. International Journal of Particle Therapy, 2021, 7(4):29-41. https://doi.org/10.14338/IJPT-D-20-00056.1
  16. Hara D, Tao WS, Totiger TM, Pourmand A, Dogan N, Ford CF, Shi J, Pollack A: Prostate Cancer Targeted X-Ray Fluorescence Imaging via Gold Nanoparticles Functionalized With Prostate-Specific Membrane Antigen (PSMA), International Journal of Radiation Oncology*Biology*Physics, 2021, 111(2):220-232. https://doi.org/10.1016/j.ijrobp.2021.04.032
  17. Zhou Y, Zheng Y, Stuart B, Zhao W and Wu X: A MIP-based 3D Contour Technique for Radiosurgery of Arteriovenous Malformation, Clin Radiol and Imaging J, 2021, 5(2):1-9. https://doi.org/10.23880/crij-16000189
  18. Simpson, G.N., Ford, J.C., Llorente, R., Portelance, L., Yang, F., Mellon, E.A., Dogan, N. Impact of quantization algorithm and number of gray level intensities on variability and repeatability of low field strength magnetic resonance image-based radiomics texture features. 2020, Phys Med 80: 209-2020. https://doi.org/10.1016/j.ejmp.2020.10.029.
  19. Simpson, G.N., Spieler, B., Dogan, N., Portelance, L., Mellon, E.A., Kwon, D., Ford, J.C., Yang, F. Predictive value of 0.35T magnetic resonance image radiomic features in stereotactic ablative body radiotherapy of pancreatic cancer: A pilot study. 2020, Med Phys 47(8): 3682-3690. https://doi.org/10.1002/mp.14200
  20. Yang, F., Simpson, G.N., Young, L., Ford, J.C., Dogan, N., Wang, L. Impact of contouring variability on oncological PET radiomics features in the lung. Scientific Reports, 2020, 10(1):369. https://doi.org/10.1038/s41598-019-57171-7
  21. Padgett, K.R., Simpson, G.N., Asher, D., Portelance, L., Bossart, E., Dogan, N. Assessment of online adaptive MR-guided Stereotactic body radiotherapy of liver Euro J Med Phys, 2020, 77:54-63. https://doi.org/10.1016/j.ejmp.2020.07.027
  22. Studenski, M.T., R. Delgadillo R, Xu Y, Both J, Padgett K, Abramowitz M, Ford JC, Dal Pra A, Pollack A, and Dogan N: Margin verification for hypofractionated prostate radiotherapy using a novel dose accumulation workflow and iterative CBCT. Euro J Med Phy, 2020, 77:154-159. https://doi.org/10.1016/j.ejmp.2020.08.008
  23. Shi J, Hara D, Tao W, Dogan N, Pollack A, Ford JC: Reconstruction of X-Ray Fluorescence Computed Tomography From Sparse-View Projections via L1-Norm Regularized EM Algorithm, IEEE Access, 2020, 8: 211576-211584 https://doi.org/1109/access.2020.3039927
  24. Bejarano T, De Ornelas-Couto M, Mihaylov I: Longitudinal fan-beam computed tomography dataset for head-and-neck squamous cell carcinoma patients, Medical Physics, 2019, 46 (5):2526-2537. https://doi.org/10.1002/mp.13460
  25. Zhang Z, Cho S, Rehni AK, Quero HN, Dave KR, Zhao W: Automated Assessment of Hematoma Volume of Rodents Subjected to Experimental Intracerebral Hemorrhagic Stroke by Bayes Segmentation Approach, Translational Stroke Research 2019, 11:789-798. https://doi.org/10.1007/s12975-019-00754-3
  26. Xu K, Shi J, Pourmand A, Udayakumar TS, Dogan N, Zhao W, Pollack A, Yang Y: Plasmonic Optical Imaging of Gold Nanorods Localization in Small Animals. Scientific REPOrtS 2018, 8:9342, https://DOI.org/10.1038/s41598-018-27624-6
  27. Dick D, Wu X, Hatoum GF, Zhao W: A fiducial-less tracking method for radiation therapy of liver tumors by diaphragm disparity analysis part 2: validation study by using clinical data. J Radiat Oncol, 2018, 7:345–356. https://doi.org/10.1007/s13566-018-0361-8
  28. Dick D, Wu X, Hatoum GF, Zhao W: A fiducial-less tracking method for radiation therapy of liver tumors by diaphragm disparity analysis part 1: simulation study using machine learning through artificial neural network. J Radiat Oncol, 2018, 7:275–284. https://doi.org/10.1007/s13566-018-0358-3
  29. Bossart, E., Duffy, M., Simpson, G.N., Abramowitz, M., Pollack, A., Dogan, N. Assessment of specific versus combined purpose knowledge-based models in prostate radiotherapy. Journal of Applied Clinical Medical Physics, 2018, 19(6):209-216. https://doi.org/1002/acm2.12483.
  30. Asher D, Padrett KR, Llorente RE, Fernia BS, Ford JC, Gaijar SR, Mehta S, Simpson GN, Dogan N, Portelance L: Magnetic resonance-guided external beam radiation and brachytherapy for a patient with intact cervical cancer, Cureus, 2018, 10 (5):22577. https://doi.org/7759/cureus.2577
  31. Padgett, K.R., Simpson, G.N., Llorente, R, Samuels, M., Dogan, N. (2018). Feasibility of Adaptive MR-guided Stereotactic Body Radiotherapy. Cureus, 2018, 10(4): https://dx.doi.org/10.7759%2Fcureus.2423
  32. De Ornelas-Couto M, Mihaylov I, Dogan N: Assessment of volumetric modulated arc therapy for constant and variable dose rates, J of Med Phy 2017, 42: 199-205 https://doi.org/10.4103/jmp.JMP_65_17
  33. Sha H, Udayakumar T, Johnson P, Dogan N, Pollack A, Yang Y: An Image Guided Small Animal Stereotactic Radiotherapy System. Oncotarget. 2016, 7:18825-18836. https://doi.org/10.18632/oncotarget.7939
  34. Zhou Y, Teomete U, Dandin O, Osman O, Dandinoglu T Bagci U, Zhao W: Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm. Computers in Biology and Medicine, 2016, 78:120-125. https://doi.org/10.1016/j.compbiomed.2016.09.013
  35. De Ornelas-Couto M, Bossart E, Ly B, Monterroso MI, Mihaylov I: Radiation therapy for stereotactic body radiation therapy in spine tumors: linac or robotic? Biomed. Phys. Eng. Express 2, 2016, 015012, https://doi.org/10.1088/2057-1976/2/1/015012
  36. Fang J, Wu X, Yang Y, Zhao W: A New Imaging/Therapy Platform by Using External Radionuclide (192Ir) Part 1: Monte Carlo FBCT and CBCT Simulation for Breast Imaging. Journal of Radiation Oncology. 2016, 5:305-319. https://doi.org/10.1007/s13566-016-0252-9
  37. Fang J, Wu X, Yang Y, Shang C, Cole J, Zhao W: A new imaging/therapy platform by using external radionuclide (192Ir) Part 2: Data acquisition and analysis for breast imaging. J Radiat Oncol, 2016, 5:317-322. https://doi.org/1007/s13566-016-0265-4

Top