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Explore advanced techniques in dynamic MR image reconstruction through this insightful talk by Anthony G. Christodoulou from Cedars-Sinai Medical Center. Delve into the concept of deep subspace learning and its application in improving the quality and efficiency of magnetic resonance imaging. Gain valuable knowledge on cutting-edge approaches that combine deep learning with subspace methods to enhance the reconstruction process for dynamic MR images. This presentation, part of the Deep Reconstruction Workshop at Yale University, offers a comprehensive look at the latest advancements in the field of medical imaging technology.
Syllabus
Deep subspace learning for dynamic MR image reconstruction
Taught by
Yale Radiology and Biomedical Imaging