In this webinar we cover the following topics:
[The name 'Green Radiology' was changed to 'Asset Power Monitoring' in April 2025.]
Jerry Folsom
Siemens Smart Infrastructure, Global Head of Digital Portfolio for Vertical Markets
Jerry Folsom provides direction and development globally for the digital portfolio focused on healthcare and life sciences. His focus at Siemens is working with the pertinent groups to identify integrated services that enhance patient experiences, improve clinical processes, and increase operational results. Jerry brings an extensive background in consulting, enterprise solutions development, product management, and information technology. He has a B.S. in Industrial Engineering from Texas A&M University and an M.B.A. from The University of Texas at Austin.
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Dr. Sean Woolen
University of California at San Francisco (UCSF), Assistant Professor of Radiology
Dr. Sean Woolen specializes in abdominal imaging and ultrasound. He serves as the co-director of the UCSF Asset Power Monitoring Initiative and the director of Clinical Prostate MRI. Sean earned his Master’s degree in Biology from Purdue University and his Medical Doctorate from Indiana University School of Medicine. His post-graduate training includes an internship at Indiana University, a diagnostic radiology residency at Michigan Medicine, and a fellowship in abdominal imaging and ultrasound at UCSF. He has also completed advanced programs in healthcare administration at the University of Michigan, sustainable environmental management at Berkeley, and implementation science course work at UCSF.
Dr. Jan Vosshenrich
Universitätsspital Basel (USB) Switzerland, Assistant Professor of Radiology
Dr. Jan Vosshenrich completed fellowships in body and musculoskeletal imaging and a research scholarship in deep learning–enhanced fast musculoskeletal MRI at NYU Grossman School of Medicine in New York. His current research focuses on reporting and workflow, radiology energy consumption, and modern MRI techniques, including clinical applications of new-generation low-field-strength MRI.
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