Yannet Interian
University of San Francisco(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Constraint Satisfaction and Optimization, Machine Learning in Healthcare, Glioma Diagnosis and Treatment, Advanced Radiotherapy Techniques
Most-Cited Works
- → Deep nets vs expert designed features in medical physics: An IMRT QA case study(2018)127 cited
- → Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival(2019)109 cited
- → Catching a viral video(2011)90 cited
- → Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging(2021)58 cited
- → Regular Random k-SAT: Properties of Balanced Formulas(2006)39 cited
- → Modeling HIV Epidemic under Contact Tracing — The Cuban Case(1999)21 cited
- A model for generating random quantified boolean formulas(2005)
- → Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis(2018)20 cited
- → Measuring Advertising Quality on Television(2009)20 cited