Department of Biomedical Informatics
Guest Speaker: Chuan Huang, Ph.D. Assistant Professor of Radiology, Psychiatry; Director of PET/MR Clinical Research, Stony Brook Medicine
Topic: Images are more than nice pictures: Quantitative Imaging and Machine Learning
When: Wednesday, October 10, 2018
Time: 3:00 – 4:00PM
Where: NEW LOCATION: BMI FACULTY AND STUDENT SUITE: HSC –L3 ROOM 045
In contrast to the traditional practice of treating medical images primarily as pictures for visual interpretation, the development of quantitative imaging including radiomics has been pushing the boundary of extracting useful data from medical images. Such data have been shown to be useful in diagnosis, prognosis, and treatment selection. Moreover, the recent development of machine learning has been shown to be extremely useful in the field of medical imaging. In this talk, we will discuss the applications of quantitative imaging and machine learning in cancer research including bench, preclinical and clinical research.
At the conclusion of this activity, participants will be able to:
1. Identify different types of quantitative medical imaging techniques
2. Identify applications of machine learning in medical imaging
3. recognize potential imaging applications could benefiting from machine learning
Dr. Chuan Huang is an Assistant Professor of Radiology and Psychiatry, Director of PET/MR Clinical Research. He is also affiliated with Computer Science and Biomedical Engineering. He graduated from University of Arizona in 2012, Majored in Mathematics, and then joined Massachusetts General Hospital - Harvard Medical School as a postdoctoral fellow. In 2014, he was promoted to Instructor in Harvard Medical School and joined Stony Brook as Assistant Professor in the same year. He has received awards including Society of Nuclear Medicine and Molecular Imaging Young Investigator Honorable Mention (2 times), Brain and Behavior Research Foundation (aka NARSAD) Young Investigator Award. He is a committee member of ISMRM Education Committee. His Medical Image Research & Analysis (MIRA) lab currently has 3 PhD students and has published 8 journal publications so far this year.
**CME Credit Available**
The School Of Medicine, State University of New York at Stony Brook, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The School of Medicine, State University of New York at Stony Brook designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s) ™. Physicians should only claim the credit commensurate with the extent of their participation in the activity. Disclosure Policy: All those in control of CME content are expected to disclose any relevant financial relationship with the provider of commercial products or services discussed in the educational presentation or that have directly supported the CME activity through an educational grant to the sponsoring organization(s). All commercial relationships that create a conflict with the planners, speakers, author’s control of content must be resolved before the educational activity occurs.
All CME credits are now being entered onto the online Stony Brook system.
In order to receive CMEs you MUST register using through this link: https://cme.stonybrookmedicine.edu/my-cme-account/sign-up.
You will be able to view and print your credits yourself whenever you need them.