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)