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Belinda Curpen is an Assistant Professor specializing in Medical Imaging. She holds a Bachelor of Science and a Doctor of Medicine degree, as well as being a Fellow of the Royal College of Physicians and Surgeons of Canada. Her research primarily focuses on improving diagnostic accuracy in breast imaging through innovative technological applications. Dr. Curpen's work involves the implementation of artificial intelligence and machine learning in the fields of mammography and ultrasound. She is currently engaged in projects that utilize quantitative imaging analyses to provide advanced imaging tools for radiologists and clinicians. Her research also delves into exploring the efficacy of quantitative magnetic resonance imaging in detecting biological changes in breast tumors, particularly those responding to chemotherapy. Dr. Curpen's contributions have been recognized through several publications in peer-reviewed journals, demonstrating her commitment to advancing the field of breast imaging.
Sunnybrook Health Sciences Centre • Toronto, Ontario
Responsible for teaching and conducting research in the field of medical imaging.
Department of Sociology