MLMIR 2020 : International Workshop on Machine Learning for Medical Image Reconstruction

  in Conferences   Posted on November 5, 2020

Conference Information

Submission Deadline Tuesday 30 Jun 2020 Proceedings indexed by :
Conference Dates Oct 8, 2020 - Oct 8, 2020
Conference Address Lima, Peru
Conference & Submission Link https://sites.google.com/view/mlmir2020/home
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 1.32
#Contributing Top Scientists 9
#Papers published by Top Scientists 16
Google Scholar H5-index 5
Guide2Research Overall Ranking: 741
Category Rankings
Biomedical & Medical Informatics 44
Image Processing & Computer Vision 93
Machine Learning & Artificial Intelligence 163
Proceedings https://link.springer.com/conference/mlmir

Conference Call for Papers

The workshop seeks high quality, original, and unpublished work on machine learning methods for image reconstruction. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style of up to 8-pages and 2-pages of references (same as MICCAI main conference) papers using the CMT system. This is the link to the submission system. This workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI conference.

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. The LaTeX templates are also available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.