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Authors
Gare, Gautam Rajendrakumar http://orcid.org/0000-0002-1689-9626
Chen, Wanwen http://orcid.org/0000-0001-5067-5223
Hung, Alex Ling Yu http://orcid.org/0000-0002-2664-7430
Chen, Edward http://orcid.org/0000-0002-3889-2935
Tran, Hai V.
Fox, Tom
Lowery, Peter
Zamora, Kevin
DeBoisblanc, Bennett P.
Rodriguez, Ricardo Luis
Galeotti, John Michael http://orcid.org/0000-0003-4247-4311
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Chapter History
First Online: 14 November 2021
Conference Information
Conference Acronym: LL-COVID19
Conference Name: Workshop on Lessons Learned from the Development and Application of Medical-Imaging-Based AI Technologies for Combatting COVID-19
Conference City: Strasbourg
Conference Country: France
Conference Year: 2021
Conference Start Date: 1 October 2021
Conference End Date: 1 October 2021
Conference Number: 1
Conference ID: llcovid192021
Conference URL: https://research.ibm.com/haifa/Workshops/LL-COVID/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 3
Number of Full Papers Accepted: 2
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 67% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3
Average Number of Papers per Reviewer: 1-3
External Reviewers Involved: Yes
Additional Info on Review Process: The workshop was held virtually due to the COVID-19 pandemic
