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MIDL 2020 (Medical Imaging with Deep Learning 2020), 将于2020年7月6-8日在加拿大蒙特利尔开幕，面向医学影像和深度学习交叉学科征稿。

Aim and Scope 征稿范围

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 interp 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 医学图像语义分割

Learning based image registration 基于学习的图像配准

Computer-aided detection and diagnosis 计算机辅助检测和诊断

Image acquisition, reconstruction and synthesis 图像获取、重建与合成

Transfer learning and domain adaptation 迁移学习与域适应

Learning with noisy labels and limited data 从噪声数据和有限数据学习

Unsupervised deep learning and representation learning 非监督深度学习与表示学习

Uncertainty estimation for medical diagnosis 医学诊断中的不确定性估计

Interpretability and explainable deep learning 可解释性与可解释深度学习

Integration of imaging and clinical data 影像与看诊数据集成

Validation studies and deep learning applications in radiology, pathology, endoscopy, dermatology, ophthalmology, and beyond  在放射学，病理学，内窥镜，皮肤病学，眼科等领域的验证研究和深度学习应用

Two-Track Submissions

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 p (all in a single pdf). The appropriateness of using additional pages over the recommended length will be judged by reviewers. These papers will go through a full, double-blind reviewing process via OpenReview.（论文将通过OpenReview进行完全双盲的评审） A selection of these papers will be invited for oral presentation, whereas the rest will be assigned a poster 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 performed via a light single-blind review process and they will be presented as posters at the conference.

Important dates

• 2020/01/24: Paper registration deadline

• 2020/01/30: Paper submission deadline

• 2020/03/20: Paper reviews available to authors

• 2020/03/20 - 2020/04/03: Rebuttal / discussion period

• 2020/04/10: Final decisions announced

• 2020/07/06-08: Conference

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