Speaker: Dr. Alex Bui, Ph.D.
Affiliation: Professor, Department of Radiological Sciences at UCLA.

Abstract: The use of biomedical imaging continues to grow rapidly, with some estimates indicating that over an exabyte of diagnostic imaging is already accrued annually. Novel techniques from a range of imaging modalities are furthering our understanding of the human condition, providing new ways to detect, diagnose, and ultimately help treat disease. A range of computational methods make these insights possible, enabling new methods for computer-aided detection and diagnosis (CAD). This talk briefly overviews some of the current research and application of such approaches in medical imaging, and in particular the pursuit of imaging biomarkers as part of predictive models. Examples of current UCLA projects in applying machine learning methods to medical image analysis tasks will be described. The current challenges of clinically translating such techniques will be presented, along with several open questions and areas for opportunity in the field.

Biography: Dr. Alex Bui is a Professor in the Department of Radiological Sciences at UCLA. He obtained his PhD degree from UCLA in computer science in 2000. Dr. Bui is part of the UCLA Medical Imaging Informatics Group, with research interests focusing on distributed information architectures for biomedical research and clinical environments, probabilistic data modeling, and visualization of medical information. He is the project leader and principal investigator of various NIH and NSF research grants; has served as a reviewer for several NIH committees; and is the Director for the UCLA NIH/NLM training program in medical informatics. Dr. Bui is a member of the UCLA Biomedical Engineering (BME) IDP, Wireless Health Institute (WHI) and the Center for Domainspecific Computing (CDSC).

For refreshments, please RSVP at https://goo.gl/forms/rzkZRDJbQ5jMAPKy2

Hosted by The Optical Society (OSA) and SPIE Student Chapter

Date/Time:
Date(s) - Oct 12, 2017
12:00 pm - 1:00 pm

Location:

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