Clinical Researcher/Graduate Thesis
Illinois Institute Of Technology/University Of Chicago Medical Center
Chicago, Illinois, United States
• MS Thesis: RADIAL MAP ASSESSMENT APPROACH FOR DEEP LEARNING DENOISED CARDIAC MAGNETIC RESONANCE RECONSTRUCTION SHARPNESS. • Developed an interactive, clinical assessment software of Cardiac perfusion MRI datasets toperform quantitative sharpness assessments of paired deep learning (DL) and non-DL-based reconstructions provided by MRI vendor (GE HealthcaAIR).• Initial software validation findings were accepted and presented at BMES 2021 Annual Meeting. In addition to one clinical… Show more • MS Thesis: RADIAL MAP ASSESSMENT APPROACH FOR DEEP LEARNING DENOISED CARDIAC MAGNETIC RESONANCE RECONSTRUCTION SHARPNESS. • Developed an interactive, clinical assessment software of Cardiac perfusion MRI datasets toperform quantitative sharpness assessments of paired deep learning (DL) and non-DL-based reconstructions provided by MRI vendor (GE HealthcaAIR).• Initial software validation findings were accepted and presented at BMES 2021 Annual Meeting. In addition to one clinical journal led by UofC (Patel) as co-author, currently finalizing a manuscript as first-author for JMRI or analogous target MR journal submission.• Performing several in-house Deep Learning Convolutional Neural Network (CNN), as well as VGG10-19 implementations with Jupyter Notebook and Python (project results are currently unpublished). These include Cardiac MR dataset analyses for functional b-SSFP cine, first-pass perfusion, 4D Flow, MDixon Coronary imaging, and 3D and 4D Cardiac QSM (research technique) from Philips and GE Healthcare.• Currently serve as one of 3-person graduate student team (Kawaji Lab) that maintains the 500-patient Cardiac MR anonymized database with past DNN and classical algorithmic methods developed-in house; currently in a preliminary discussion with GE for a full-CMR study (perfusion, LGE, black-blood) analysis using my developed software tool.• Served as the primary mentor for one of our lab members. Show less