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Sarah Mattonen is a researcher and educator at Western University specializing in medical imaging, oncology, and radiomics. Her work integrates machine learning techniques to enhance the analysis and understanding of imaging data, particularly in the context of cancer treatment and prediction. With numerous publications highlighting her contributions to the field, Mattonen has made significant strides in developing methodologies that utilize radiomic features to assess tumor responses and predict outcomes in various cancer types. She has collaborated extensively on projects that aim to bridge the gap between computational techniques and clinical decision-making, ensuring that technological advancements directly inform patient care. Her involvement in the Canadian Association of Radiologists reflects her commitment to advancing knowledge and practices in medical imaging. Mattonen's research often focuses on the application of deep learning and artificial intelligence to create more accurate predictive models, improving the quality of care delivered to patients.
Western University • London, Ontario, Canada
Teaching and conducting research in medical imaging and oncology, focusing on radiomics and machine learning.
Streams include Archaeology and Bioarchaeology, and Sociocultural Anthropology.