Math 290J (section 3) current literature in applied mathematics
Mathematical models for image processing and medical imaging
(joint with the activity group SIG-PDE from the Center for Computational Biology)
Organizer: Luminita Vese. E-mail: firstname.lastname@example.org
Time: Friday, 4:00pm-5:00pm.
Location: MS 5233.
Presentations, Time and Location:
Please note that some meetings will be at a different time and location.
Friday, October 2nd: presentation by Pascal Getreuer of the paper Convex
Formulation of Continuous Multi-label Problems by Pock, Schoenemann,
Graber, Bischof, Cremers (2008). (related paper An algorithm for minimizing the Mumford-Shah functional by Pock, Cremers, Bischof, Chambolle.
Pascal Getreuer's presentation slides:
Friday, October 9: Mark Roden, PhD student in Radiology, UCLA, Reduction of multiplicative noise via semi-local anisotropic diffusion
Wednesday, October 14, 4-5pm, MS 6229 (note different time and location): Andreas Langer, visiting PhD student, RICAM, Austria, Subspace Correction Methods for l1-norm and Total Variation Minimization
Friday, October 16, 4-5pm, MS 5233: Miyoun Jung, Multiframe image restoration in the presence of noisy blur.
Friday, October 23, 4-5pm: Andreas Langer, visiting PhD student from RICAM,
Wednesday, October 28, 4-5pm, MS 6229 (note different time and location):
Guest speaker Yonggang Shi, LONI, UCLA, Brain Shape Analysis Using Laplace-Beltrami Eigenfunctions
Friday, October 30: no meeting this week
Wednesday Nov. 4, 4-5pm, MS 6229 (note different time and location): Guest speaker Prashant Athavale (UCLA and IPAM), Novel Integro-Differential Equations in Image Processing
Friday, November 6: Ethan Brown.
Friday, November 13: no meeting this week
Wednesday November 18, 4-5pm, MS 6229 (note different time and location):
Guest speaker Sergey Kushnarev, Division of Applied Mathematics, Brown University, Geometry of the space of 2D shapes equipped with the Weil-Petersson metric
Friday, November 20: Guest speaker Aichi Chen, Radiology Department, UCLA.
Medical applications of image analysis
Advanced medical imaging technology has made it possible to visualize detailed
anatomical features without surgical procedures. Noninvasive 2D/3D imaging
is extensively used for disease diagnosis and treatment follow-up. The
effective analysis and utilization of this data is extremely important for
treatment and the understanding of human diseases. As recent studies have
shown, novel image processing algorithms and mathematical models can
produce insight into pathology and disease progression. This talk will
compare different imaging modalities, applications of image analysis for
diagnosis, as well as issues in current imaging technology.
Friday, November 27: No meeting due to Thanksgiving Holiday.
Friday, December 4: Carl Lederman (may need to change the time due to Department Holiday Party)