Call for Papers

Aim and Scope

We welcome submissions, as full papers or abstracts, for the 2nd 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

Two-Track Submissions

Conference submissions follow two tracks: full conference papers and extended abstracts. All accepted full papers will be published as a volume in the Proceedings of Machine Learning Research. The best full papers will also be invited for submission to a special issue of Medical Image Analysis, a top journal in the field.


Extended abstracts are up to 3 pages (excluding references and acknowledgements) and can, for example, focus on preliminary novel methodological ideas without extensive validation. We also specifically accept extended abstracts of recently published or submitted journal contributions to give authors the opportunity to present their work and obtain feedback from the community. Selection of abstracts is performed via a lightweight single-blind review process via OpenReview. All accepted abstracts will be presented as posters at the conference.

Submission deadline: 17 April 2019, 17:00 UTC

Full Papers

Full papers contain well-validated applications or methodological contributions of deep learning algorithms in medical imaging. There is no strict limit on paper length. However, we strongly recommend keeping full papers at 8 pages (excluding references and acknowledgements). An appendix section can be added if needed with additional details but must be compiled into a single PDF. The appropriateness of using pages over the recommended page length will be judged by reviewers. Full papers will go through a single-blind peer-reviewing process via OpenReview. All accepted papers will be presented as posters with a selection of these papers will also be invited for oral presentation.

Submission deadline: 17 December 2018, 17:00 UTC

Submission Guidelines

Please carefully check the submission guidelines and author instructions.