Deep Learning

Loosely speaking, deep learning is a branch of machine learning that uses multi-layer neural networks to create prediction models. The unknown parameters, commonly referred to as weights, are estimated by minimizing a loss function often subject to some form of regularization. Deep learning has shown promise in many domains, with imaging based analysis being a standout example of an application area in which deep learning based models excel. Several Center members are working on deep learning related research that includes analyzing medical images, quantifying uncertainty and interpretability of deep learning models.

Lorin Crawford

Fenghai Duan

Constantine Gatsonis

Tao Liu

Christopher Schmid

Jon Steingrimsson

BACK TO THEORY AND METHODS

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