Ryan Bahar, MD RESIDENT UCSF Profile Education and training MD, 05/2024 - , Yale School of MedicineScB, 05/2018 - Neuroscience, Brown University Publications Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction. Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries. Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. See All Publications
