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Maja Sohlin is a researcher at the University of Gothenburg, focusing on imaging and treatment techniques in radiation therapy, particularly in the context of head and neck cancers. Her research involves synthetic computed tomography (CT) data usage to enhance treatment planning and dose calculation accuracy in MRI-only radiation therapy. She has been involved in various studies that aim to improve patient positioning, dose evaluations, and workflow efficiencies in radiotherapy settings, utilizing advanced methodologies such as deep learning and geometric modeling. Sohlin has contributed to multiple publications in renowned journals, often collaborating with experts in the field to publish findings that highlight the effectiveness of MRI in oncology. Her work emphasizes precision in radiation therapy and the integration of novel technologies to optimize treatment outcomes for cancer patients.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).