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Workshop on AI-Enables Medical Image Analysis – October 2022 (date tbc) 

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. For more information please visit  http://vcmi.inesctec.pt/aimia_eccv 

Submission deadline: 08 July 2022 

Author notification: 05 August 2022 

Camera-ready deadline: 12 August 2022 

Published:

Keynote Speakers include:
Dimitri Metaxas, Rutgers University, USA 
Inti Zlobec, University of Bern, Switzerland 
Henning Müller, HES-SO Vallais-Wallis, Switzerland 

Topics of Interest:  

  • 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:  

Jaime Cardoso (jaime.cardoso@inesctec.pt)

Dimitrios Kollias (d.kollias@qmul.ac.uk) 

 

 

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