IDAC TDA Workshop: Topological Data Analysis for Discovery in Multi-scalar Biomedical Data – Applications in Musculoskeletal Imaging
Date
Please join Professor Xiaojuan Li, PhD, for the IDAC TDA Workshop
Image and Data Analysis Core (IDAC)
Center of Translation Of Quantitative Imaging in Osteoarthritis (TOQIO)
This two-hour workshop on Topological Data Analysis (TDA) is designed for investigators, post-docs, fellows, students, and others with an interest in learning more about an emerging data analysis technique, TDA, for extracting insights from large and high dimensional data sets based on the shape (patterns) of the complex data using topology. After a review and introduction of the principal and general applications of TDA techniques in our ‘Big Data’ era, its applications in musculoskeletal imaging will be discussed, with specific examples in osteoarthritis.
AGENDA:
10:00-10:05 Welcome and Introduction |
||
10:05-11:00 a.m.
|
Adam Ferguson, PhD |
Topological Data Analysis for Discovery in Multi-scalar Biomedical Data |
11:00-11:15 a.m. Coffee Break |
||
11:15-11:45 a.m. |
Jenny Haefeli, PhD |
Applying Topological Data Analysis for Osteoarthritis Discovery: A Use Case |
11:45-12:00 p.m. Open Discussion |
There is no registration fee, but space is limited. Please RSVP to [email protected]. Visit https://cort.ucsf.edu/ to learn more about the Center.
Sponsored by NIH/NIAMS, the UCSF Department of Radiology and Biomedical Imaging, Department of Epidemiology and Biostatistics, and UC Davis Center for Healthy Aging
506 America/Los_Angeles publicType
Time Duration
Location
Please join Professor Xiaojuan Li, PhD, for the IDAC TDA Workshop
Image and Data Analysis Core (IDAC)
Center of Translation Of Quantitative Imaging in Osteoarthritis (TOQIO)
This two-hour workshop on Topological Data Analysis (TDA) is designed for investigators, post-docs, fellows, students, and others with an interest in learning more about an emerging data analysis technique, TDA, for extracting insights from large and high dimensional data sets based on the shape (patterns) of the complex data using topology. After a review and introduction of the principal and general applications of TDA techniques in our ‘Big Data’ era, its applications in musculoskeletal imaging will be discussed, with specific examples in osteoarthritis.
AGENDA:
10:00-10:05 Welcome and Introduction |
||
10:05-11:00 a.m.
|
Adam Ferguson, PhD |
Topological Data Analysis for Discovery in Multi-scalar Biomedical Data |
11:00-11:15 a.m. Coffee Break |
||
11:15-11:45 a.m. |
Jenny Haefeli, PhD |
Applying Topological Data Analysis for Osteoarthritis Discovery: A Use Case |
11:45-12:00 p.m. Open Discussion |
There is no registration fee, but space is limited. Please RSVP to [email protected]. Visit https://cort.ucsf.edu/ to learn more about the Center.
Sponsored by NIH/NIAMS, the UCSF Department of Radiology and Biomedical Imaging, Department of Epidemiology and Biostatistics, and UC Davis Center for Healthy Aging
Speakers
![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/li-profiles.jpg?itok=hgj4HoZK)
Radiology and Biomedical Imaging
![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/Adam%20Ferguson%2C%20PhD.jpg?itok=7qdblBvS)
Principal Investigator, Brain and Spinal Injury Center
![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/Jenny%20Haefeli%2C%20PhD.jpg?itok=1x7QkM41)
![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/Kazuhito%20Morioka%20MD%20PhD.jpg?itok=74Ef82Ml)