Special Issue on Medical Imaging with Deep Learning
摘要截稿:
全文截稿: 2018-08-01
影响因子: 11.148
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 工程技术 - 1区
• 小类 : 计算机:人工智能 - 2区
• 小类 : 计算机:跨学科应用 - 1区
• 小类 : 工程:生物医学 - 1区
• 小类 : 核医学 - 1区
Overview
This Special Issue will select the best papers presented at the conference International Conference on Medical Imaging with Deep Learning, held in Amsterdam, 4-6th July 2018. Please submit your paper following the instructions on https://midl.amsterdam/
Authors will be invited after acceptance of their paper for the conference or after their presentation at the conference. They will be requested to extend their paper to a full paper in Medical Image Analysis.
We invite submissions on all topics related to medical imaging using deep learning. Topics discussed will include, but are not limited to:
- Semantic segmentation of medical images
- (Multi-modal) image registration with deep learning
- Interventional image analysis with deep learning (e.g. endoscopic imaging, image-guided surgery)
- Computer-aided detection and diagnosis
- Image synthesis and reconstruction
- Transfer learning for medical imaging
- Multi-dimensional algorithms (3D, 4D and beyond)
- Learning with noisy labels
- Learning with sparse data/labels
- Unsupervised deep learning
- Uncertainty estimation
- Integration of imaging and clinical data
- Data augmentation for medical images
- End-to-end learning for prognosis and treatment selection
- Thorough evaluation studies demonstrating application of deep learning algorithms