Ethan Leng was an MD/PhD student focusing on the development of machine learning (ML)-based models to assess presence and grade of prostate cancer on a voxel-wise basis using quantitative multi-parametric MRI. The goal was to achieve user-independent performance reaching at least the quality of a trained radiologist in terms of detecting, grading, and assessing the extent of prostate cancer. He was awarded a doctoral dissertation fellowship in 2018, CTSI TL1 scholarship in 2019 and graduated in 2020. His thesis work was titled, "Development of computer-aided diagnosis systems for detection of prostate cancer on multiparametric MRI”. After completing his PhD and medical training at UMN, he matched at the Emory University where he was pursuing his interest in interventional radiology as a physician scientist.
