T32 Radiology Fellows Share Their Experiences: Jae Ho Sohn, MD, MS and Evan Calabrese, MD, PhD

2. What was your primary T32 research project?

JHS: My research focused on big data in radiology (BDRAD). Specifically, I concentrated on two areas: radiological natural language processing (NLP) and computer vision in lung cancer screening CTs. NLP projects involved automatically extracting useful information from radiology reports, modeling radiological ontology, and providing imaging decision support. Lung cancer screening projects focused on nodule detection, characterization, and longitudinal registration as well as health imaging biomarker extraction from chest CTs.

EC: My primary project is focused on predicting the presence of clinically relevant genetic biomarkers in glioblastoma using preoperative brain MRI. The idea is to use non-invasive imaging (rather than brain biopsy or resection) to determine important genetic characteristics of this aggressive form of…

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