Eight Abstracts Accepted to IEEE IUS 2020 and Invited Talk by Prof. Bell

The following PULSE Lab abstracts were accepted for presentation during the 2020 IEEE International Ultrasonics Symposium (IUS) to be held on September 6-11, 2020 online (due to COVID-19).

  1. Theory-Based Predictions of Generalized Contrast-to-Noise Ratios for Photoacoustic Images to be presented by Mardava Gubbi in the session entitled Technical Advances in Photoacoustic Imaging on Tuesday, September 8, 11:30 – 1:30 PM (PDT), 2:30 – 4:30 PM (EDT)
  2. Multi-task learning for ultrasound image formation and segmentation directly from raw in vivo data to be presented by Kelley Kempski in the session entitled Segmentation & Registration on Wednesday, September 9, 4:15 – 6:15 AM (PDT), 7:15 – 9:15 AM (EDT)
  3. Dual-Wavelength Photoacoustic-Guided Hysterectomy Demonstration with a Human Cadaver to be presented by Alycen Wiacek in the session entitled Photoacoustic Ultrasound Frequency Analysis & Image Guided Interventions on Wednesday, September 9, 4:15 – 6:15 AM (PDT), 7:15 – 9:15 AM (EDT)
  4. Experimental Cadaver Investigation of Ocular Receiver Location for Photoacoustic Imaging of Intracranial Blood Vessels  to be presented by Michelle Graham in the session entitled Photoacoustic Ultrasound Frequency Analysis & Image Guided Interventions on Wednesday, September 9, 4:15 – 6:15 AM (PDT), 7:15 – 9:15 AM (EDT)
  5. Acoustic Frequency-Based Multispectral Differentiation of Photoacoustic Signals from Surgical Biomarkers to be presented by Eduardo González in the session entitled Photoacoustic Ultrasound Frequency Analysis & Image Guided Interventions on Wednesday, September 9, 4:15 – 6:15 AM (PDT), 7:15 – 9:15 AM (EDT)
  6. Coherence-Based Beamforming Improves the Diagnostic Certainty of Breast Ultrasound Exams to be presented by Alycen Wiacek in the session entitled Machine Learning Approaches & Applications on Thursday, September 10, 7:45 AM (PDT), 10:45 AM (EDT)

Congrats to Alycen, Eduardo, Michelle, Kelley, and Mardava!

Prof. Bell also collaborated with colleagues on the following work that will be presented at IEEE IUS 2020:

  • Enhancing the Detectability of Highly Coherent Targets in Short-Lag Spatial Coherence Images with Multi-Line Transmission by Giulia Matrone[3}, Muyinatu Lediju Bell{1}, Alessandro Ramalli{2}
    {1}Johns Hopkins University, United States; {2}University of Florence, Italy; {3}University of Pavia, Italy to be presented in the session entitled Enhancing Images Through Novel Beamforming II on Thursday, September 10, 4:15 – 6:15 AM (PDT), 7:15 – 9:15 AM (EDT)
  • Challenge on Ultrasound Beamforming with Deep Learning (CUBDL) by Muyinatu Bell{2}, Jiaqi Huang{2}, Dongwoon Hyun{3}, Yonina Eldar{4}, Ruud van Sloun{1}, Massimo Mischi{1}
    {1}Eindhoven University of Technology, Netherlands; {2}Johns Hopkins University, United States; {3}Stanford University, United States; {4}Weizmann Institute of Science, Israel to be presented in the session entitled Deep Learning in Beamforming on Thursday, September 10, 4:15 – 6:15 AM (PDT), 7:15 – 9:15 AM (EDT)
  • CUBDL Live Session (winner announcement) on Friday, September 11, 9:45 – 10:15 AM (PDT), 12:45 – 1:15 PM (EDT)

In addition to the above presentations, Prof. Bell will give an invited lecture on the topic:

  • Photoacoustic Vision for Surgical Guidance in the Advanced Imaging Technologies and Techniques Special Session on Wednesday, September 9, 6:30 – 8:00 AM (PDT), 9:30 AM – noon (EDT) [full list of invited speakers]

Symposium website: https://2020.ieee-ius.org