Medical Imaging with Deep Learning Conference Call for Papers

MIDL2020 - Medical Imaging with Deep Learning Conference - Call for Papers

Montréal, 6 - 8 July 2020

The MIDL conference aims to be a forum for deep learning researchers,
clinicians and health-care companies to take a leap in the application
of deep learning based automatic image analysis in disease screening,
diagnosis, prognosis, treatment selection and treatment monitoring.

+Dates
Paper registration deadline 24 January 2020
Paper submission deadline 30 January 2020
Conference dates 4-6 July 2020

+Aim and Scope We welcome submissions, as full or short papers, for
the 3rd International Conference on Medical Imaging with Deep
Learning. This conference is a forum for deep learning researchers,
clinicians and health-care companies working at the intersection of
medical image analysis and machine learning for disease detection,
diagnosis, prognosis, intervention, treatment selection and monitoring
of disease progression.

The conference has a broad scope including all areas of medical image
analysis and computer-assisted intervention where deep learning is a
key element.

Topics of interest include but are not limited to:

-Semantic segmentation of medical images
-Learning based image registration
-Computer-aided detection and diagnosis
-Image acquisition, reconstruction and synthesis
-Transfer learning and domain adaptation
-Learning with noisy labels and limited data
-Unsupervised deep learning and representation learning
-Uncertainty estimation for medical diagnosis
-Interpretability and explainable deep learning
-Integration of imaging and clinical data
-Validation studies and deep learning applications in radiology, pathology, 
  endoscopy, dermatology, ophthalmology, and beyond

Conference submissions follow two tracks: full conference papers and
short papers. Full papers contain well-validated applications or
methodological developments of deep learning algorithms in medical
imaging. There is no strict limit on paper length. However, we
strongly recommend keeping the paper at 8 pages, plus 1 page for the
references and as many pages as needed in an appendix section (all in
a single pdf).

All accepted papers are made free to read after the conference without
paywalls. Reviewing will be performed using OpenReview.

More information: https://2020.midl.io/call-for-papers.html