Sadegh Riyahi
Memorial Sloan Kettering Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, MRI in cancer diagnosis
Most-Cited Works
- → Radiomics analysis of pulmonary nodules in low‐dose CT for early detection of lung cancer(2018)148 cited
- → Patch‐based generative adversarial neural network models for head and neck MR‐only planning(2019)106 cited
- → Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm(2019)48 cited
- → Quantifying local tumor morphological changes with Jacobian map for prediction of pathologic tumor response to chemo-radiotherapy in locally advanced esophageal cancer(2018)47 cited
- → Technical Note: Identification of CT Texture Features Robust to Tumor Size Variations for Normal Lung Texture Analysis(2018)22 cited
- → Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response(2018)16 cited
- → Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning(2019)6 cited
- → Interpretable Spiculation Quantification for Lung Cancer Screening(2018)4 cited
- → Les abcès cérébraux (à propos de 80 cas)(2008)4 cited
- → Robust Normal Lung CT Texture Features for the Prediction of Radiation-Induced Lung Disease(2017)2 cited