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Madeleine Kate Wyburd is a Postdoctoral researcher specializing in Image Analysis and Computational Modelling Geometry. She received her DPhil (PhD) in Computer Science from the University of Oxford, where she focused on preserving known anatomical topology in medical image segmentation using deep learning techniques. Her research interests lie in advancing methods for image analysis to improve segmentation in medical imaging, leveraging computational models to enhance the precision and reliability of image data interpretation. Madeleine’s work has been recognized for contributing to the integration of deep learning methodologies in medical applications, emphasizing the importance of accurate representations of anatomical structures in various diagnostic and therapeutic contexts. At the University of Copenhagen, she continues her research, collaborating with experts across Europe in projects aimed at advancing the field of computational healthcare. Her contributions to shared publications and projects reflect her commitment to interdisciplinary research and innovation in medical imaging.
University of Copenhagen • Copenhagen, Denmark
Researching Image Analysis and Computational Modelling Geometry.
Focuses on clinical, social, and cognitive psychology.