 |
|
|
|
|
|||||||||||||||||||||||||
|
|
|
THEMATIC PROGRAMS |
|
|||||||||||||||||||||||||
| December 11, 2024 |
|
||||||||||||||||||||||||||||
|
Mailing List : To receive updates on the program please subscribe to our mailing list at www.fields.utoronto.ca/maillist Course on 'Introduction to Mathematical Oncology' Course on Medical Image Processing Course on Introduction to Mathematical
Oncology
|
||||||||||||||||||||||||||||
|
July 7
11am-1:00pm |
Lecture 1: Introduction to cancer biology and mathematical oncology |
|
July 11
11am-1:00pm |
Lecture 2: Cancer genetics |
|
July 18:
11am-1:00pm |
Lecture 3: Tumor microenvironment |
|
July 25,
11am-1:00pm |
Lecture 4: Metastasis and invasion |
|
August 15,
11am-1:00pm |
Lecture 5: LAST LECTURE Cancer stem cells |
|
August 22
|
CANCELLED |
Recommended References:
- Cancer Biology (R. Weinberg)
- The Basic Science of Oncology (Tannock et al.)
- Mathematical Biology (J. D Murray)
- Cancer Modeling and Simulation (edited by L. Preziosi)
- Computational Biology of Cancer (D. Wodarz and N. Komarova)
- Some parts of lectures will be based on review and recent articles
Course on Medical Image Processing*
Instructors: C. Drapaca, J. Trzasko, C. Studholme, H. Zhu, Y. Zinchenko
Schedule of the course:
Lectures time:
11:00 am to 1:30 pm, with 30 min for lunch from 12:00 pm to 12:30pm.
All lectures will be held at the Fields Institute.
Description of the course:
Tumors, and in particular cancer, can be difficult to detect, diagnose and treat. Digital imaging techniques, computer aided diagnosis, image-guided surgery and drug treatment can improve the accuracy and efficiency of tumors detection, diagnosis and treatment. Therefore computer assisted techniques have become a valuable component in today's clinical research and practices. This graduate course on image processing and treatment planning is a collection of feature lecture series, focusing on IMRT inverse treatment planning, CT, MR image reconstruction and various means of analyzing and processing images including image co-registration, level sets, and time-frequency analysis, etc.
|
August 11-12 |
- lectures by Dr. Hongmei Zhu (lecture
slides below) Intensity Tranforms Spatial Transforms Frequency Transforms Time Frequency Transforms |
|
August 13-14 |
- lectures by Dr. Corina Drapaca |
|
August 18
|
- lectures by Joshua Trzasko |
|
August 19-20
|
- lectures by Dr. Colin Studholme (lecture handouts) |
|
August 21, 11 am-1:00
pm |
- lectures by Dr. Yuriy Zinchenko |
|
August 22, 4:00-5:00 pm |
-Dr. Yuriy Zinchenko Matlab Tutorial (seminar open to everybody) |
The course will cover the following topics:
1. Convex and robust optimization techniques for radiotherapy treatment planning.
2. Time-frequency analysis and level set methods for imaging sciences.
3. Imaging physics, contemporary methods for fast imaging, image registration and brain image analysis.
In addition, Dr. Zinchenko's seminar on August 22 th will be a MATLAB tutorial on optimization software, (in particular, SeDuMi via MATLAB).
*This course is not for credit.
Apply to the Program:
All scientific events are open to the mathematical sciences community. Visitors who are interested in office space or funding are requested to apply by filling out the application form. Additional support is available (pending NSF funding) to support junior US visitors to this program. Fields scientific programs are devoted to research in the mathematical sciences, and enhanced graduate and post-doctoral training opportunities. Part of the mandate of the Institute is to broaden and enlarge the community, and to encourage the participation of women and members of visible minority groups in our scientific programs.
For additional information contact thematic(PUT_AT_SIGN_HERE)fields.utoronto.ca