Connectionists: (CfP) AIMIA Workshop and 3rd COV19D Competition in IEEE ICASSP 2023

[Dimitrios Kollias]

Dear Colleagues,

We are inviting you to participate in the AI-enabled Medical Image Analysis Workshop and 3rd Covid-19 Diagnosis Competition<https://mlearn.lincoln.ac.uk/icassp-2023-ai-mia/> to be held in conjunction with IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) 2023 in Rhodes Island, Greece, 4 – 9 June, 2023.

The 3rd COV19D Competition follows the 1st and 2nd very successful Competitions held in ICCV 2021 and ECCV 2022, respectively. It includes two Challenges: i) COVID19 Detection Challenge and ii) COVID19 Severity Detection Challenge.

The 1st Challenge refers to COVID19 and non-COVID19 classification. The 2nd Challenge refers to classification of COVID-19 severity into four categories, i.e., mild, moderate, severe and critical.
Both Challenges are based on an extended version of the database used in the 2nd COV19D Competition.

There will be one winning team per Challenge.

For more details please visit the competition page here<https://mlearn.lincoln.ac.uk/icassp-2023-ai-mia/>.

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


Organizers:

Stefanos Kollias, National Technical University of Athens
Xujiong Ye, University of Lincoln
Francesco Rundo,  STMicroelectronics ADG—Central R&D
Dimitrios Kollias,  Queen Mary University London


Important Dates:

The timeline for the competitions will be as follows:

December 16, 2022: Opening of the Competition; start of registration of research groups;  provision of training and validation datasets

March 16, 2022: Submission of results

March 17, 2022: Winners announcement

March 24, 2022: Paper submission

April 14, 2022: Review decisions sent to authors; notifications of acceptance

April 28, 2022: Camera ready version



All accepted papers will be part of IEEE ICASSP 2023 Conference Proceedings.

For registration and further information, please contact d.kollias at qmul.ac.uk<mailto:d.kollias at qmul.ac.uk>



Kind Regards,
on behalf of the organising committee,
Dimitris




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Dr Dimitrios Kollias, PhD, MIEEE, FHEA

Lecturer (Assistant Professor) in Artificial Intelligence

Member of Multimedia and Vision (MMV) research group

Member of Queen Mary Computer Vision Group

Associate Member of Centre for Advanced Robotics (ARQ)
Academic Fellow of Digital Environment Research Institute (DERI)

School of EECS

Queen Mary University of London

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