Michalis Aristophanous

Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function

Carlos Cárdenas, Rachel McCarroll, Laurence E. Court et al. · International Journal of Radiation Oncology*Biology*Physics · 2018 · 151 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +9

Dosimetric advantages of a “butterfly” technique for intensity-modulated radiation therapy for young female patients with mediastinal Hodgkin’s lymphoma

Khinh Ranh Voong, Kelli McSpadden, Chelsea C. Pinnix et al. · Radiation Oncology · 2014 · 107 citations · Full text

A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography

Michalis Aristophanous, Bill C. Penney, Mary K. Martel et al. · Medical Physics · 2007 · 105 citations

Computed Tomography, Engineering, Lung Tumor Volumes +17

A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma

Sarah A. Milgrom, Hesham Elhalawani, Joonsang Lee et al. · Scientific Reports · 2019 · 99 citations · Full text

Clinical Utility of 4D FDG-PET/CT Scans in Radiation Treatment Planning

Michalis Aristophanous, Ross Berbeco, Joseph H. Killoran et al. · International Journal of Radiation Oncology*Biology*Physics · 2011 · 84 citations · Full text

Positron Emission Tomography, Medical Imaging, Pet-mri +8