[DMANET] MIDL 2021 Call for Papers

Call for Papers: 4th International Conference on Medical Imaging with Deep
Learning 2021

We welcome submissions, as full or short papers, for the 4th edition of
Medical Imaging with Deep Learning (MIDL). Due to the ongoing Covid-19
pandemic the conference is planned as a hybrid event (local + virtual) and
is going to take place in Lübeck, Germany, July 7-9, 2021. The conference
website can be found at

https://2021.midl.io


Important dates

Full Papers
* Paper registration deadline: 10 February 2021
* Paper submission deadline: 17 February 2021

Short Papers
* Paper registration deadline: 6 April 2021
* Paper submission deadline: 13 April 2021

Conference dates
* Main event: 7-9 July 2021
* Doctoral Symposium: 6 & 10 July 2021


Aims and Scope

The 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 healthcare and medicine, including disease
detection, diagnosis, staging, prognosis, intervention, treatment
selection
and monitoring of disease progression.

MIDL 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

Inquiries to the program chairs can be addressed directly to
pcs@2021.midl.io <mailto:pcs@2021.midl.io> .


Two-Track Submissions

Conference submissions follow two tracks: full conference papers and short
papers.

Full papers contain methodological developments or well-validated
applications of deep learning algorithms in medical imaging. The paper
length is strictly limited to 8 pages with as many pages as needed for the
references and appendix section (all in a single pdf).

The papers will go through a full, single-blind reviewing process via
OpenReview, with a two-week period for author rebuttal and discussion. A
selection of full papers will be invited for oral presentation. All
accepted
full papers will be published as a volume in the Proceedings of Machine
Learning Research.

Short papers are up to 3 pages and can, for example, focus on novel
methodological ideas without extensive validation. We also specifically
accept short papers discussing recently published or submitted journal
contributions to give authors the opportunity to present their work and
obtain feedback from conference attendees. Selection of short papers is
based on a light single-blind review process via OpenReview, without a
discussion period. All accepted short papers will be presented at the
conference.


Special Issue

MIDL is going to have a Special Issue in MELBA (The Journal of Machine
Learning for Biomedical Imaging). A selection of best full and short
papers
is going to be invited to submit an extended version of their work there.


MIDL 2021
* July 7 - 9, 2021
* Lübeck, Germany
* https://2021.midl.io


The MIDL'21 Organizing and Program Committee,


Alexander Schlaefer, Floris Ernst, Jan Lellmann, Mattias Heinrich, Marleen
de Bruijne, Qi Dou

--
Alexander Schlaefer
Institute of Medical Technology and Intelligent Systems
Hamburg University of Technology
+49 (0) 40 42878 3050
www.tuhh.de/mtec
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