Four Abstracts Accepted to IEEE IUS 2019

Four PULSE Lab abstracts were accepted for presentation during the 2019 IEEE International Ultrasonics Symposium (IUS) to be held on October 6-9, 2019, at the Scottish Event Campus in Glasgow, Scotland.

  1. CohereNet: A deep learning approach to coherence-based beamforming to be presented by Alycen Wiacek in the session entitled Deep Learning Beamformers on Monday, October 7, 4:00-4:15pm
  2. GPU implementation of coherence-based photoacoustic beamforming for autonomous visual servoing of a needle tip to be presented by Eduardo Gonzalez in the session entitled Hardware Acceleration on Monday October 7, 11:00-11:15am
  3. Simulation and experimental assessment of optimal receiver locations for photoacoustic image guidance during minimally invasive neurosurgeries  to be presented by Michelle Graham in the session entitled Machine Learning and Image Reconstruction Approaches in Photoacoustics on Monday, October 7, 9:30am-4:00pm
  4. One-Step Deep Learning Approach to Ultrasound Image Formation and Image Segmentation with a Generative Adversarial Network to be presented by Arun Nair in the session entitled Image Fusion and Registration on Tuesday, October 8, 9:30am-4:00pm

Congrats to Alycen, Eduardo, Michelle, and Arun!

Symposium website: