Medical Image Analysis: Extracting Information from Image Data

Topic: 
Medical Image Analysis: Extracting Information from Image Data
Date & Time: 
Wednesday, November 1, 2017 -
17:00 to 18:30
Speaker: 
Professor Guido Gerig
Location: 
101

Title: Medical Image Analysis: Extracting Information from Image Data
Speaker: Professor Guido Gerig
Date & Time: Wednesday, November 1, 5-6:30pm
Location: Room 101

Speaker's bio: Guido Gerig is the Institute Professor and Department Chair in the Computer Science and Engineering Department of NYU's Tandon School of Engineering. He holds a PhD in Electrical Engineering from the Swiss Federal Institute of Technology “ETH Zurich”, Switzerland (1986), and a Venia Legendi (Dr. Habil, 1993) and an M.S (1981) from the same institution. He was appointed as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) in 2010.

Talk abstract: Medical image analysis is a multidisciplinary field at the intersection of computer and data science, engineering, mathematics, statistics and medicine. With the main goal of extracting clinically relevant information from medical image data, we develop mathematical and computational methods to solve problems related to the use of imaging for biomedical research and clinical applications. In this talk, Professor Guido Gerig will demonstrate how progress in fundamental image analysis methodologies enables new discoveries in medicine and helps to translate novel techniques to clinical routine. In particular, methodologies for studies of dynamic processes via longitudinal imaging will be discussed.

He will present typical examples of interdisciplinary imaging research projects, covering clinical research areas as diverse as autism, traumatic brain injury, ophthalmology and diagnostic radiology.

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Schedule of Fall 2017 Seminar Series on Data Science and AI:

Oct 23, 5-6:30pm, Room 101, Dafei Yin (Data Scientist, Mobike), How Mobike Data Help Improve the Operation and City Planning

Nov 1, 5-6:30pm, Room 101, Guido Gerig (Professor of CS, NYU), Medical Image Analysis: Extracting Information from Image Data

Nov 7, 5-6:30pm, Room 102, Michael Wu (Chief Scientist, Lithium), AI is the New BI: How to Get Your Enterprise Ready for the AI Revolution

Nov 28, 5:6:30pm, Room 1504, Kai Yu (Hotizon Robotics), TBD

Dec 4, 5-6:30pm, Room 1504, Lan Liu (Didi), Explore The Path for Sharing

Dec 11, 5-6:30pm, Room 101, Wilson Tam (Tenccent), Development of Chatbot Technologies and Challenges

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Location & Details: 

For non-NYUSH community, please bring your ID card and sign up at the reception desk after you arrive. NYUSH academic building locates at 1555 Century Avenue, Pudong District.