Investigate and critique applications of current techniques in biomedical imaging/spectroscopy such as convolutional networks to problems such as deconvolution, computed tomography, phase retrieval, hyperspectral unmixing, and learn how to apply these methods to datasets of their own. A special emphasis on biomedical imaging technologies and applications such as phase contrast microscopy, low-dose x-ray computed tomography, sparse fast magnetic resonance imaging, etc.
Prerequisite
(ECE 312 with a minimum grade of C or ECE 457); (BIOM 403, may be taken concurrently or ECE 403, may be taken concurrently or ECE 441, may be taken concurrently or ECE 504); (ECE 303 with a minimum grade of C or STAT 303 with a minimum grade of C or ECE 431 or BIOM 431); (CS 150B with a minimum grade of C or CS 152 with a minimum grade of C or CS 163 with a minimum grade of C or CS 164 with a minimum grade of C); Junior standing; Credit allowed for only one of the following: BIOM 559, BIOM 580C7, ECE 559, or ECE 580C7.
Textbooks and Materials
Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.
Instructors
