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Michalis Aristophanous, Ph.D.

Affiliations: 
2008 University of Chicago, Chicago, IL 
Area:
Radiology
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Charles A. Pelizzari grad student 2008 Chicago
 (Automated PET-based tumor volume definition for radiotherapy of lung cancer.)
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Publications

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Aliotta E, Paudyal R, Diplas B, et al. (2024) Multi-modality imaging parameters that predict rapid tumor regression in head and neck radiotherapy. Physics and Imaging in Radiation Oncology. 31: 100603
Heukelom J, Kantor ME, Mohamed ASR, et al. (2019) Differences between planned and delivered dose for head and neck cancer, and their consequences for normal tissue complication probability and treatment adaptation. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology
Milgrom SA, Elhalawani H, Lee J, et al. (2019) A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma. Scientific Reports. 9: 1322
Schakel T, Peltenburg B, Dankbaar JW, et al. (2018) Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented F-fluorodeoxyglucose positron emission tomography. Physics and Imaging in Radiation Oncology. 5: 13-18
Cardenas CE, Anderson BM, Aristophanous M, et al. (2018) Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Physics in Medicine and Biology. 63: 215026
Bahig H, Yuan Y, Mohamed ASR, et al. (2018) Magnetic Resonance-based Response Assessment and Dose Adaptation in Human Papilloma Virus Positive Tumors of the Oropharynx treated with Radiotherapy (MR-ADAPTOR): An R-IDEAL stage 2a-2b/Bayesian phase II trial. Clinical and Translational Radiation Oncology. 13: 19-23
Mohamed ASR, Bahig H, Aristophanous M, et al. (2018) Prospective study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT. Clinical and Translational Radiation Oncology. 11: 11-18
Pinnix CC, Wirth A, Milgrom SA, et al. (2018) Omitting cardiophrenic lymph nodes in the treatment of patients with Hodgkin lymphoma via modified involved-site radiation therapy. Leukemia & Lymphoma. 1-10
Cardenas CE, McCarroll RE, Court LE, et al. (2018) Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function. International Journal of Radiation Oncology, Biology, Physics
Mohamed ASR, Aristophanous M, Blanchard P, et al. (2018) Prospective In Silico Study of A Novel MRI-Guided Dose Adaptation Technique For Human Papillomavirus–Positive Oropharyngeal Cancer Patients International Journal of Radiation Oncology Biology Physics. 100: 1362-1363
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