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Jun 25, 2024
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2022-2023 Graduate Catalog [ARCHIVED CATALOG]
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CS 666 - Biomedical Signal and Image Processing 3 Credit(s) | Lecture | Graded Not repeatable for credit
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!
Enrollment Requirements: MATH 260 and CS 310, or Permission of instructor
Semester(s) typically offered: Spring
042145:1
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