International Conference on Medical Imaging with Deep Learning Call for Papers

+++ CALL FOR PAPERS +++

*IMPORTANT DATES*

Full papers

- Submissions: 13 December 2018
- Reviews: 28 January 2019
- Rebuttal period: 28 January - 7 February 2019
- Final decisions: 20 February 2019

Abstracts

- Submissions: Mid April 2019
- Final decisions: Mid May 2019

*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

All accepted submissions will be published as a volume in the
Proceedings of Machine Learning Research.

Details about submissions: https://2019.midl.io/call-for-papers

*PROGRAM CHAIRS*

Gozde Unal, Istanbul Technical University
Ender Konukoglu, ETH Zurich
Ipek Oguz, Vanderbilt University

*CONFERENCE CHAIRS*

Tom Vercauteren, King's College London
Ben Glocker, Imperial College London
M Jorge Cardoso, King's College London

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