Connectionists: (CfP) ICCV 2021 Workshop and Competition: MIA-COV19D

[stefanos]

(CfP) 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 & competition page at
https://mlearn.lincoln.ac.uk/mia-cov19d/  

For any requests or enquiries, please contact: stefanos at cs.ntua.gr 

Organizers: 

 	* 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: 

 	* _ 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 process. 

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. 

 	* _ 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 Workshop.     

For registration and further information,please contact
D.Kollias at greenwich.ac.uk
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