AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (MIA-COV19D) Call for Papers

ICCV 2021 Workshop and Competition: MIA-COV19D

The Workshop "AI-enabled Medical Image Analysis Workshop and
Covid-19 Diagnosis Competition (MIA-COV19D)" will be held in
conjunction with the International Conference on Computer Vision
(ICCV) 2021 in Montreal, Canada, October 11- 17, 2021.

Please visit the workshop and competition page at For any requests or
enquiries, please contact:


    Stefanos Kollias, National Technical University of Athens 
    Xujiong Ye, University of Lincoln  
    Luc Bidaut. University of Lincoln  
    Francesco Rundo,  STMicroelectronics ADG—Central R&D 
    Dimitrios Kollias,  University of Greenwich  
    Giuseppe Banna, Portsmouth Hospitals Univ. NHS Trust   

Call for Papers: 

A. AI-enabled Medical Image Analysis (MIA) Workshop 

AI-enabled Medical Image Analysis (MIA) Workshop will emphasize on
radiological quantitative image analysis for diagnosis of
diseases. Our focus is placed on Artificial Intelligence (AI), Machine
and Deep Learning (ML, DL) approaches that target effective and
adaptive diagnosis, as well as on approaches that enforce
trustworthiness and create justifications of the decision making

Important Dates: 

July 19, 2021: Paper submission deadline; Start of review period 

August 6, 2021:  End of review period 

August 10, 2021: Review decisions sent to authors; Notification of acceptance 

August 17, 2021: Camera ready version deadline 

The peer review process for the papers will be double blind, with at
least two distinct reviews per submission, and will follow ICCV
standards and policies. The accepted papers will be published in the
ICCV proceedings. All submissions must adhere to ICCV style, format
and length restrictions.

B. COVID19 Competition

COV19D Competition is based on a new large database of chest CT scan
series that is manually annotated for Covid-19/non-Covid-19
diagnosis. The training and validation partitions along with their
annotations will be provided to the participating teams to develop
AI/ML/DL models for Covid-19/non-Covid-19 prediction. Performance of
approaches will be evaluated on the test set.

Important Dates: 

May 3, 2021: Opening of Competition; start of registration of research
groups; provision of training and validation datasets, of respective
annotations and of the baseline approach

July 5, 2021: Final submission deadline (Results, Code and ArXiv paper)                             

July 6, 2021: Winners announcement 

There will be one Competition winning team. The top-3 performing teams
are expected to contribute a paper describing their approach and
results to the MIA Workshop. All other teams will be able to submit a
paper describing their solutions and final results to the MIA

For registration and further information, please contact

Best wishes,

On behalf of the organising committee