May 10th, 2022 
Daniela Lopez de Luise The ECCV 2022 workshop on AI-enabled Medical Image Analysis (AIMIA) aims at providing a platform for scientific discussion and presentation of ideas to tackle the challenges of whole slide image
and CT/MRI/X-ray analysis/processing and identify research opportunities in the context of Digital Pathology and Radiology/COVID19.
AIMIA is jointly organised by INESCTEC (Portugal), NTUA (Greece), IMP Diagnostics (Portugal), Radboudumc (The Netherlands), Karolinska Institutet (Sweden), Google Health (USA) and the University
of Lincoln (UK). For more information please visit http://vcmi.inesctec.pt/aimia_eccv
IMPORTANT DATES
Submission deadline: July 08, 2022
Author notification: August 05, 2022
Camera-ready deadline: August 12, 2022
AIMIA workshop: October 2022 (T.B.D.)
KEYNOTE SPEAKERS
Dimitri Metaxas, Rutgers University, USA
Inti Zlobec, University of Bern, Switzerland
Henning Müller, HES-SO Vallais-Wallis, Switzerland
TOPICS OF INTEREST
The AIMIA workshop welcomes works that focus on (but not limited to):
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Semi-/weakly-/self-/supervised learning methodologies;
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Detection, classification and segmentation;
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Disease diagnosis, grading and prognosis;
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Treatment response prediction;
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Detection of tissue biomarkers with predictive/prognostic value;
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Image registration;
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Explainable AI;
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Clinical applications;
applied to Digital Pathology (TRACK A) and Radiology/COVID19 (TRACK B).
The workshop also invites submissions to the 2nd COV19D competition, organized within TRACK B: https://mlearn.lincoln.ac.uk/eccv-2022-ai-mia/
PAPER SUBMISSION
Submitted manuscripts should be anonymised and formatted according to the ECCV style, with a maximum of 14 pages, including images and tables and excluding cited references.
Accepted papers will be published in Springer, as part of the ECCV 2022 proceedings (workshops set).
Do you want to submit your work? Please access https://cmt3.research.microsoft.com/AIMIA2022.
CONTACTS
Jaime Cardoso (
jaime.cardoso@inesctec.pt)