Jie Yang

Materials Chemistry · Nature Communications · 2014–2022

A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. J. Lam
  2. Boxin Tang
  3. S. Hirata
  4. Zujin Zhao
  5. Jing Huang
  6. Zhen Li
  7. W. Yuan
  8. Nelson L C Leung
  9. Ju Mei
  10. Can Wang

Who trusts Jie Yang overall

  1. Manman Fang
  2. Zhigang Shuai

Papers from Jie Yang's perspective

Ordered by how strongly the researchers Jie Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation (Nature Methods)
  3. The Medical Segmentation Decathlon (Nature Communications)
  4. Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy (arXiv.org)
  5. UNETR: Transformers for 3D Medical Image Segmentation (IEEE Workshop/Winter Conference on Applications of Computer Vision)
  6. CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes (IEEE Transactions on Medical Imaging)
  8. The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes (arXiv.org)
  9. Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks (IEEE Transactions on Medical Imaging)
  10. PyTorch: An Imperative Style, High-Performance Deep Learning Library

Their papers