University of Wisconsin–Madison

Tag: Christoph Lee

Publications by UW Radiology Members Finalized in March 2026

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Akl, Elie W.; Zeitoun, Ralph; Chehab, Omar; Li, Haiou; Varadarajan, Vinithra; Wu, Colin O.; Bertoni, Alain G.; Watson, Karol E.; Bluemke, David A.; Ambale-Venkatesh, Bharath; Lima, João A C. Sex-Difference of Associations Between Cigarette Smoking and Myocardial Fibrosis: The Multi-Ethnic Study of Atherosclerosis. Journal of the American Heart Association. 2026 Mar; 15(5):e044664.  Chhabra, Avneesh; He, Angela; Chalian, Majid; Pandey, Tarun; Alaia, Erin; Wong, Philip K.; Lee, Kenneth S.; Colucci, Philip G.; Subhawong, Ty; Vossen, Josephina A.; …

Christopher Hess to present keynote at annual research symposium

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The UW Department of Radiology will proudly host Christopher Hess, MD, PhD as the keynote speaker for the annual Zachary Clark Radiology Research Symposium on Saturday, April 25, 2026. His presentation, “The Innovator’s Mindset in Medical Imaging,” will draw upon his experience as a renowned neuroradiologist specializing in MRI, a driver of sustainability in the field, and …

Publications by UW Radiology Members Finalized in January 2026

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Bane, Octavia; Geahchan, Amine; Stocker, Daniel; Pavuluri, Swathi; Abboud, Ghadi; Kennedy, Paul; Sharma, Himanshu; Hectors, Stefanie J.; Thung, Swan; Jin, Ning; Fischman, Aaron; Markl, Michael; Reeder, Scott; Schiano, Thomas D.; Taouli, Bachir. Splanchnic hemodynamic parameters measured with 4D flow MRI can diagnose severe portal hypertension. European Radiology. 2026 Jan; 36(1):607-617.  Bejar, Andrea M.; Jaramillo Gonzalez, Maria; Hong, …

UW part of national trial of AI use in breast cancer screening

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The University of Wisconsin–Madison and UW Health will assess whether artificial intelligence (AI) can effectively assist radiologists in the interpretation of mammograms as part of a national clinical trial. Wisconsin media outlets interviewed Christoph Lee, MD, MS, MBA; Mai Elezaby, MD; and Ryan Woods, MD, MPH about the exciting potential of improving cancer detection and reducing unnecessary callbacks and …