Ning Guo
IEEE Transactions on Radiation and Plasma Medical Sciences · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ning Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ning Guo's perspective
Ordered by how strongly the researchers Ning Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Deep Learning
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)
- Random Forests
- Brain tumor segmentation with Deep Neural Networks
- Multimodal Deep Learning
- The Strength of Weak Learnability
- Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain (IEEE transactions on multimedia)
- Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. (Medical Physics (Lancaster))
Their papers
- Deep Learning-based Image Segmentation on Multimodal Medical Imaging (2019) — 366 citations