Four Abstracts Accepted to IEEE IUS 2018

Four PULSE Lab abstracts were accepted for presentation during the 2018 IEEE International Ultrasonics Symposium (IUS) to be held on October 22-25, 2018, at the Portopia Hotel in Kobe, Japan.

  1. A fully convolutional neural network for beamforming ultrasound images to be presented by Arun Nair in the session entitled Deep Neural Networks for Ultrasound Image Formation at 2:15 PM to 2:30 PM on Thursday, October 25 (label: 1J-4)
  2. Clinical feasibility of coherence-based beamforming to distinguish solid from fluid hypoechoic breast masses to be presented by Alycen Wiacek in the session entitled  Beamforming for Other Applications from 9:00 AM to 9:15 AM on Thursday, October 25 (label: 4H-5)
  3.  Segmenting bone structures in ultrasound images with Locally Weighted SLSC (LW-SLSC) beamforming  to be presented by Eduardo Gonzalez in the session entitled  Beamforming for Other Applications from 8:00 AM to 8:15 AM on Thursday, October 25 (label: 4H-1)
  4. Using deep neural networks to remove photoacoustic reflection artifacts in ex vivo tissue to be presented by Derek Allman in the session entitled All-Optical Photoacoustic Imaging and Computational Approaches on Tuesday, October 23 (label: P2-A6-4)

Congrats to Arun, Alycen, Eduardo, and Derek!

Symposium website: