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Michalis Aristophanous

Memorial Sloan Kettering Cancer Center(US)

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107

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1.6K

Citations

22

h-index

31

i10-index

Michalis Aristophanous is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Advanced Radiotherapy Techniques & Medical Imaging Techniques and Applications & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 22, co-authored 91 publications.

ORCID: 0000-0001-9117-1515

Research Topics

Advanced Radiotherapy Techniques Medical Imaging Techniques and Applications Radiomics and Machine Learning in Medical Imaging Head and Neck Cancer Studies Lung Cancer Diagnosis and Treatment

Papers by this author

works

A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma

2019 · Scientific Reports · 99 citations

https://doi.org/10.1038/s41598-018-37197-z

Sarah A. Milgrom Hesham Elhalawani Joonsang Lee Qianghu Wang

Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT

2018 · Clinical and Translational Radiation Oncology · 38 citations

https://doi.org/10.1016/j.ctro.2018.04.005

Abdallah Mohamed Houda Bahig Michalis Aristophanous Pierre Blanchard

Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18F-fluorodeoxyglucose positron emission tomography

2018 · Physics and Imaging in Radiation Oncology · 19 citations

https://doi.org/10.1016/j.phro.2017.12.004

Tim Schakel Boris Peltenburg Jan-Willem Dankbaar Carlos Cárdenas

Multi-institutional atlas of brain metastases informs spatial modeling for precision imaging and personalized therapy

2025 · Nature Communications · 5 citations

https://doi.org/10.1038/s41467-025-59584-7

Jorge Barrios Evan Porter Dante P. I. Capaldi Taman Upadhaya

Multi-modality imaging parameters that predict rapid tumor regression in head and neck radiotherapy

2024 · Physics and Imaging in Radiation Oncology · 3 citations

https://doi.org/10.1016/j.phro.2024.100603

Eric Aliotta Ramesh Paudyal Bill H. Diplas James E. Han

Dosimetric Results for Organs at Risk (OAR) from Radiotherapy Dose De-Escalation to the Subclinical Region in HPV-Mediated Oropharyngeal Cancer (HPV+ OPC): A Retrospective Analysis

2024 · International Journal of Radiation Oncology*Biology*Physics · 0 citations

https://doi.org/10.1016/j.ijrobp.2024.07.1703

David Miller Irini Youssef Daniel Kallini Yao Yu

Research topics

topics

Advanced Radiotherapy Techniques

Medical Imaging Techniques and Applications

Radiomics and Machine Learning in Medical Imaging

Head and Neck Cancer Studies

Lung Cancer Diagnosis and Treatment

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