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

Jaime Cardoso (jaime.cardoso@inesctec.pt)