The PULSE Lab is virtually attending
@ieeeius2020
this week, featuring 8 accepted papers (including two presentations by
@AlycenWiacek
), the long-anticipated revelation of CUBDL challenge winners, and an invited talk by yours truly.
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Mardava Gubbi presents on the topic “Theory-Based Predictions of Generalized Contrast-to-Noise Ratios for Photoacoustic Images”
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@AlycenWiacek
presents “Dual-Wavelength Photoacoustic-Guided Hysterectomy Demonstration with a Human Cadaver” at
#IEEEIUS2020
Check out this e-poster, which contains a link to a very cool demo:
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Michelle Graham presents “Investigation of acoustic windows for photoacoustic imaging of intracranial blood vessels”
#IEEEIUS2020
This work advances our patient-specific simulation methods for presurgical planning, described here:
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Eduardo Gonzalez presents “Acoustic frequency-based differentiation of photoacoustic signals from surgical biomarkers” at
#IEEEIUS2020
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Kelley Kempski presents “Multi-task learning for ultrasound image formation and segmentation directly from raw in vivo data” at
#IEEEIUS2020
This work addresses challenges noted in our recent journal paper on this topic:
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CUBDL challenge participants are presenting now. Today we will hear about submitted networks. Submissions will be compared tomorrow at the
#IEEEIUS
live Challenge session, then the winner will be announced.
Here is an e-poster summary of the submissions:
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Zehua, Yaning, and
@AlycenWiacek
presented today:
1. Beamforming with deep learning from single plane wave RF data
2. Conditional adversarial network for single plane wave beamforming
3. Coherence-based beamforming improves the diagnostic certainty of breast ultrasound exams
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