Michael Gee, MD, PhD
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My research focuses on the development of new quantitative imaging biomarkers of active disease and treatment response prediction in inflammatory bowel disease and cancer, especially related to molecule-targeted therapies. These areas align with my clinical subspecialty training in pediatric radiology and abdominal imaging. I am particularly interested in the use of magnetic resonance imaging (MRI) and artificial intelligence (AI)/machine learning technologies to advance imaging biomarker development in these areas.
Recent Publications
Gallo-Bernal S, Peña-Trujillo V, Briggs D, Machado-Rivas F, Pianykh OS, Flores EJ, Gee MS A data science-based analysis of socioeconomic determinants impacting pediatric diagnostic radiology utilization during the COVID-19 pandemic. Pediatr Radiol. 2024;54(11):1831-1841 - PMID: 39289213 - DOI: 10.1007/s00247-024-06039-8
Danzer E, Peña-Trujillo V, Gallo-Bernal S, Gee MS, Victoria T Neonatal Anthropometric Measurements: A Comparison of Neonates With 3-T Fetal MRI Exposure, With 1.5-T Fetal MRI Exposure, and Without In-Utero MRI Exposure. AJR Am J Roentgenol. 2024;:ePub - PMID: 39230404 - DOI: 10.2214/AJR.24.31647
Succi MD, Rao A, Gee MS, Coburn C, Brink JA Empowering Radiology's Future: A Proposed Leadership and Innovation Framework for a Radiology Department. J Am Coll Radiol. 2024;21(10):1616-1619 - PMID: 39096944 - DOI: 10.1016/j.jacr.2024.07.009
Shenoy-Bhangle A, Nimkin K, Gee MS Pediatric imaging: current and emerging techniques. J Postgrad Med. 2010;56(2):98-102 - PMID: 20622388 - DOI: 10.4103/0022-3859.65273
Peña-Trujillo V, Gallo-Bernal S, Kirsch J, Victoria T, Gee MS 3 Tesla Fetal MR Imaging Quality and Safety Considerations. Magn Reson Imaging Clin N Am. 2024;32(3):385-394 - PMID: 38944429 - DOI: 10.1016/j.mric.2024.02.007
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