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Angelica Svalkvist is affiliated with the University of Gothenburg, where she is engaged in advanced research in medical physics, particularly in the areas of imaging techniques and radiation therapy for cancer treatment. Her work focuses on improving the accuracy of medical imaging in diagnostic processes, with research interests in deep learning models for uncertainty quantification and automated segmentation in MRIs. Svalkvist has contributed to various studies aimed at enhancing image quality and reliability in chest tomosynthesis and CT examinations, with an emphasis on dose reduction and observer performance in detecting pulmonary nodules. She has also been involved in critical evaluations regarding the effects of image artifacts on diagnostic accuracy. Svalkvist’s research outputs are frequently published in reputable journals and presented at international conferences. She actively participates in collaborative studies, reflecting her commitment to advancing clinical practices in radiology and medical imaging. With a growing list of publications and a robust profile in the field, Svalkvist continues to make significant strides in medical physics research, demonstrating her dedication to improving patient care through innovative imaging solutions.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).