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 website for these events that contains more information can be found here<https://mlearn.lincoln.ac.uk/icassp-2023-ai-mia/>.


A) The AI-enabled Medical Image Analysis (MIA) Workshop is devoted to medical image analysis, with emphasis on pathology and radiology fields 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; we also have a particular interest in approaches that enforce trustworthiness and automatically generate explanations, or justifications of the decision making process.

Important Dates:

March 24, 2022: Paper submission
April 14, 2022: Review decisions sent to authors; notifications of acceptance
April 28, 2022: Camera ready version

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


B) The 3rd COV19D Competition 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.

Important Dates:

December 16, 2022: Opening of the Competition
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


For registration and further information, please contact d.kollias at qmul.ac.uk


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


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




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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