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IEEE–OC EMBS Chapter Presents “Advances in Deep Learning for Medical Imaging”

July 29 @ 6:30 PM - 8:00 PM

Despite the growing popularity of deep learning neural networks for various medical imaging applications, the vast majority of algorithms to date represent early proof-of-concept designs that will require a degree of evolution before achieving practical clinical utility. In this talk, we explore several different ways in which the current generation of deep learning applications can be advanced including:

(1) Reformulating the question: in medicine, there are often times more than one way to ask the same question—how do we reformulate a task in a way that both maximizes clinical utility and also best leverages the strength of various deep learning algorithms?

(2) Customizing deep learning algorithms: what are the unique technical challenges posed by medical imaging data and how we design custom deep learning architectures to account for them?

(3) Clinical implementation: what are some practical experiences learned from implementing deep learning tools in the clinical setting, and what are some regulatory hurdles that will need to be considered?

Speaker(s): Peter D. Chang, MD,


6:30pm – 7pm (Networking and Food)

7pm – 8pm (Talk)

Room: Community Meeting Room
15500 Sand Canyon Ave
Irvine, California


July 29
6:30 PM - 8:00 PM


City: Irvine