Covers machine learning and deep learning techniques for ultrasound imaging, including beamforming, reconstruction, and image analysis.
Lectures are small, with a median of 2 enrolled students in the recorded sections.
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Graduate/professional standing
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TOMY VARGHESE is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 2 / 3 | 0 |
| LEC 001 | Classroom Instruction | 3 / 4 | 0 |
| LEC 001 | Classroom Instruction | 2 / 3 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Concepts and machine learning techniques for ultrasound beamforming for image formation and reconstruction to image analysis and interpretation will be presented. Key machine learning and deep learning concepts applied to beamforming, compressed sampling, speckle reduction, segmentation, photoacoustics, and elasticity imaging will be evaluated utilizing current peer-reviewed publications.
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Machine Learning in Ultrasound Imaging
Recorded 2026-09-07Machine Learning in Ultrasound Imaging
Recorded 2026-09-07Machine Learning in Ultrasound Imaging
Recorded 2026-09-07[
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]Original comments behind the course and instructor summaries.
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