Biomedical Signal and Image Processing
Course #: CS 666
Description:
This course introduces important signal and image processing methods for biomedical diagnostics and research. You will learn hands-on how to reconstruct, visualize, and analyze datasets from different modalities such as electrocardiography (ECG), electroencephalography and magnetoencephalography (EEG/MEG), ultrasound (US), X-ray, electron and light microscopy (EM/LM), computerized tomography (CT), structural and functional magnetic resonance imaging (MRI/fMRI), as well as single photon emission computed tomography and positron emission tomography (SPECT/PET). Course discussions and assignments include the fundamentals of digital signal processing, filtering and denoising, Fourier transformations, pattern recognition, and state-of-the-art registration and segmentation pipelines. After completion, you will have the $kills to work at hospitals, life science institutions, and biotech companies!
Pre Requisites: Pre-requisite: MATH 260 and CS 310, or permission of instructor
Offered in:
2024 Spring
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 9193 | TuTh 11:00 - 12:15 pm |
Haehn,Daniel Felix | McCormack M02-0207 | |
|
Session:
Regular
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
20
Enrolled:
19
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-requisite: MATH 260 and CS 310, or permission of instructor
Course Attributes:
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