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Rauni Rossi Norrlund is an esteemed researcher affiliated with the University of Gothenburg, focusing on advanced imaging techniques in clinical medicine. Her recent work includes studies on chest tomosynthesis and its effectiveness in evaluating chest injuries and pulmonary conditions. With numerous publications, she has significantly contributed to understanding the impact of imaging technologies on clinical outcomes, particularly in thoracic medicine. Norrlund has collaborated with various researchers on projects that assess the dose levels in medical imaging and the correlation between image quality and diagnostic accuracy. Her research interests also encompass deep learning applications in radiology, demonstrating the potential of artificial intelligence in improving image reconstruction methods. She has been actively involved in reviewing and publishing in renowned medical imaging journals, and her work has provided crucial insights into developing scoring systems for evaluating conditions like cystic fibrosis. Norrlund's expertise is recognized nationally and internationally, and she continues to present her findings at major medical conferences around the world.
University of Gothenburg • Göteborg
Conducting research in medical imaging with a focus on chest tomosynthesis and other pulmonary imaging techniques.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).