AI-enabled Medical Image Analysis Call for Papers
ABOUT THE WORKSHOP
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):
Semi-/weakly-/self-/supervised learning methodologies;
Detection, classification and segmentation;
Disease diagnosis, grading and prognosis;
Treatment response prediction;
Detection of tissue biomarkers with predictive/prognostic value;
Image registration;
Explainable AI;
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
Sara P. Oliveira (sara.i.oliveira@inesctec.pt)
Jaime Cardoso (jaime.cardoso@inesctec.pt)
Stefanos Kollias (stefanos@cs.ntua.gr)