Joel Carlson Data Scientist

Publications

“A Machine Learning Approach to the Accurate Prediction of MLC Positional Errors during Radiotherapy” (Physics in Medicine and Biology)
Joel Carlson, Jong Min Park, So-Yeon Park, and Sung-Joon Ye

“The Effect of MLC Speed and Acceleration on the Plan Deliverability of VMAT” (British Journal of Radiology)
Jong Min Park, Hong-Gyun Wu, Jin Ho Kim, Joel Carlson, and Kyubo Kim

“Texture Analysis on the Fluence Map to Evaluate the Degree of Modulation for Volumetric Modulated Arc Therapy” (Medical Physics)
So-Yeon Park, Sung-Joon Ye, Joel Carlson, and Jong Min Park

“New Conformity Indices based on the Calculation of Distances between the Target Volume and the Volume of Reference Isodose”(British Journal of Radiology)
Jong Min Park, So-Yeon Park, Sung-Joon Ye, Jin Ho Kim, Joel Carlson, and Hong-Gyun Wu

“Modulation Indices for Volumetric Modulated Arc Therapy” (Physics in Medicine and Biology)
Jong Min Park, So-Yeon Park, Hyoungnyoun Kim, Jin Ho Kim, Joel Carlson, and Sung-Joon Ye

Conference Presentations

“A Radiomics Approach to the Classification of Astrocytoma and Oligodendroglioma” (MICCAI 2015, “Computational Brain Tumor Cluster of Events” session, Slides)
Joel Carlson, Sung-Joon Ye

“A Statistical Learning Approach to the Accurate Prediction of MLC Positional Errors during VMAT Delivery” (AAPM 2015, “Quantifying QA” session, Slides)
Joel Carlson, Jong Min Park, So-Yeon Park, Jong-in Park, Yunseok Choi, Sung-Joon Ye