I'm a title. Click here to edit me

 

I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. Feel free to drag and drop me anywhere you like on your page. I’m a great place for you to tell a story and let your users know a little more about you.

This is a great space to write long text about your company and your services. You can use this space to go into a little more detail about your company. Talk about your team and what services you provide. Tell your visitors the story of how you came up with the idea for your business and what makes you different from your competitors. Make your company stand out and show your visitors who you are.

 

At Wix we’re passionate about making templates that allow you to build fabulous websites and it’s all thanks to the support and feedback from users like you! Keep up to date with New Releases and what’s Coming Soon in Wixellaneous in Support. Feel free to tell us what you think and give us feedback in the Wix Forum. If you’d like to benefit from a professional designer’s touch, head to the Wix Arena and connect with one of our Wix Pro designers. Or if you need more help you can simply type your questions into the Support Forum and get instant answers. To keep up to date with everything Wix, including tips and things we think are cool, just head to the Wix Blog!

2014 Yonsei CSE project-based program

 Medical Image Computing

  • Place: CSE at Yonsei University, Seoul, Korea

  • Period: 15 July -30 July, 2014

  • Time: 9:00 AM -6:00 PM (Intensive course)

  • Fund: BK21 plus

  • Program organizer: Jin Keun Seo

  • Program leaders: Habib Ammari, Jin Keun Seo, Eungje Woo

 

The MIC program seeks to train Ph.D. students to bridge the gap between theory and practice by providing insights into the various interfaces among mathematical theories, scientific computation and visualization. Imaging problems can be formulated as inverse problems that are intrinsically nonlinear. Finding solutions with practical significance and value requires an in-depth understanding of the underlying physical phenomena with data acquisition systems as well as implementation details of image reconstruction algorithms. Experience over the last three decades has shown that the symbiotic interplay among theoretical mathematics, computational mathematics, and experiments is crucial for understanding and solving these nonlinear problems in practice. Therefore, we brings together a diverse group of researchers from different disciplines including mathematics, biomedical engineering, neuroscience, and radiology to explore  innovative approaches.

 

  • EIT-based flexible sensor

  • Viscoelastic modulus reconstruction using time harmonic vibrations

  • MR electrical property imaging at Lamor frequency

  • Crack detection problem using multi-frequency EIT

  • Functional MREIT

  • Conductivity based neural activity visualization  

  • Quantitative Susceptibility Mapping

  • Computerized Tomography

 

Project-based Seminar:

  •  14 July: Nonlinear and ill-posed optimization method and initial guess: by Ammari & Seo

  •  15 July: Runge approximation and unique continuation properties; by Ammari & Seo

  •  15 July, 12:00-3:00:  Neural activity by measuring impedance distribution by Woo (New model)

  •  16 July; Crack detection problem: Tingting Zhang, Liangdong Zhou, Ammari & Seo

  •  16 July; Computerized problem: Hyungsuk Park, Jaekyu Choi, Ammari & Seo

  •  17 July; EPT and MRE; Hyuknam Kwon, Liangdong Zhou, Ammari & Seo

  •  18 July: EIT-based pressure sensor; Kyunghun Lee, Ammari & Seo

  •  18 July; Identification od Fluid flow in Left Ventricle: Jaesung Jang, Ammari & Seo

  •  (In the case when your project (crack, EPT, MRE, EIT-based pressure sensot) is not finished, students should work on 19-20 July.)

  •  July 21-25: EIT health monitoring system, CT, breast imaging, disease finger printing & Neural activity imaging using  electrical impedance imaging (New Models)

  •  July 28-Aug 1: EIT health monitoring system, CT, breast imaging, disease finger printing & Neural activity imaging using  electrical impedance imaging by Ammari & Seo

  •   Aug 4-Aug 9: Conclusions