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Explore cutting-edge applications of machine learning in biomedical engineering through this lecture by René Vidal, a 2021 Edward J. McCluskey Technical Achievement Award winner. Delve into automatic methods for interpreting biomedical data across various scales, from cellular to patient level. Discover convolutional dictionary learning for blood cell detection, structured matrix factorization for neuron segmentation, sparse representation techniques for accelerating diffusion MRI reconstruction, and dynamical system methods for assessing surgical skills and therapy effectiveness. Gain insights into how these advanced technologies are revolutionizing diagnosis, treatment, and patient monitoring in healthcare. This technical talk is particularly suitable for researchers in the field of biomedical engineering and machine learning.
