SIIM announces award and prize winners

SIIM announces award and prize winners
By staff writers

July 31, 2020 -- The Society for Imaging Informatics in Medicine (SIIM) recognized the achievements of its members at the society's virtual 2020 annual meeting, which was held on June 24-26.

On June 25, SIIM recognized the medical imaging achievements and accomplishments of Dr. Tessa Cook, PhD, and Dr. Barton Branstetter IV by inducting them into the College of SIIM Fellows. The recognition of fellowship is the society's highest honor, SIIM noted.

The society also presented the following awards and prizes at the meeting:

Journal of Digital Imaging awards Best paper -- Rita Noumeir Most valuable reviewer -- Victoria Barnosky, PhD Most downloaded paper -- Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, and Paul Kennedy Honorary awards Dr. Joe Gitlin award -- Janice Honeyman-Buck, PhD Dr. Ruth Dayhoff award -- Dr. Tessa Cook, PhD Early Career Achievement award -- Dr. Joseph Stember, PhD Gold Medal of the Society award -- Dr. David Avrin, PhD Imaging Informatics Innovator Award -- Wei Qian, PhD Educator Award -- Herman Oosterwijk Hackathon winners First place prize -- CaseTracker Audience choice -- DEID Recipe Builder Doing More Together award -- Great Lakes #1 Helen and Paul Chang Foundation New Investigator Travel award -- Dr. Paul Yi; Dr. Joseph Stember, PhD; Dr. Teresa Martin-Carreras; Dr. Brian Xavier

If you like this content, please share it with a colleague!

Related Reading

imageSIIM 2020: COVID-19 could accelerate nonrad POCUS use
The adoption of point-of-care ultrasound (POCUS) by nonradiologists may be accelerated by the COVID-19 pandemic, as well as rapid technological advancements,...

imageSIIM 2020: The future is now for 3D imaging
The future is now for 3D imaging technologies such as cinematic rendering, 3D printing, simulation training, virtual reality, and augmented reality, according...

imageSIIM 2020: How to create robust radiology AI algorithms
It's not easy to develop radiology artificial intelligence (AI) algorithms that don't just perform well on data that are similar to what they are trained...

imageSIIM 2020: Human element shouldn't be neglected with AI
Sure, artificial intelligence (AI) in radiology is cool. But it's not enough to show results in a lab; the technology's real-world impact on efficacy...

imageSIIM 2020: AI nearly halves breast ultrasound reading time
Using artificial intelligence (AI) to analyze breast ultrasound lesions reduced interpretation time by 49% at a healthcare center in Missouri. The software...

Copyright © 2020

Last Updated mf 7/31/2020 10:42:36 AM

CT Imaging Finds No Sinus Changes in COVID-19 Anos...
Acute on Chronic Liver Failure From Novel SARS-CoV...


No comments made yet. Be the first to submit a comment
Already Registered? Login Here
Wednesday, 23 September 2020

By accepting you will be accessing a service provided by a third-party external to