39 Computer Vision News metastases detection. Did we just get a sneak preview of next year’s winning paper? “Yes, hopefully!” she laughs. “In this paper, we’ve shown improved quantification and decreased error by using and leveraging these two technologies. Now that we’re more confident, what else can we do that has a downstream effect on specific patient populations?” Having scooped the Best Paper award, Olivia tells us she is very proud of the work and honored that it has been recognized in this way. She set out to investigate something people are curious about but may not have the resources to work on in their labs. Could this have been the secret to its success in the eyes of the judges? “I think one of the compelling reasons this paper was important to the committee was that we’re doing our best to ensure translatability from the physical work to the clinic,” she remarks. “Being at the University of Pennsylvania, we were so fortunate to be able to build a system that uses clinical components and is not just a benchtop system throwing together parts acquired from an Xray source or detector.” Olivia is currently in the fourth year of her PhD and hopes to graduate in the next couple of years. “I’m passionate about continuing research and development with medical imaging,” she adds. “I’d like to continue working in this field, looking at CT physics and the development of new devices. That’s my goal. I could see myself continuing in academic research, but also teaching, down the line, and potentially working in the industry, so it’s still a little bit open.” We certainly hope this award will help open the right doors. “Thank you so much,” she smiles. “It definitely helps to have a little recognition!” Three defined weighting schemes to combine multi-energy channel data Olivia Sandvold
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