S.Kevin Zhou

Computer Vision and Pattern Recognition · with Cui · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S.Kevin Zhou trusts

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

  1. Jorge Bernal (in Computer Vision and Pattern Recognition)
  2. F. Sánchez (in Computer Vision and Pattern Recognition)

Papers from S.Kevin Zhou's perspective

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

  1. Fully convolutional networks for semantic segmentation
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Towards automatic polyp detection with a polyp appearance model (Pattern Recognition)
  4. Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information (IEEE Transactions on Medical Imaging)
  5. WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians (Comput. Medical Imaging Graph.)
  6. UNet++: A Nested U-Net Architecture for Medical Image Segmentation
  7. PraNet: Parallel Reverse Attention Network for Polyp Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images (Journal of Healthcare Engineering)
  9. Kvasir-SEG: A Segmented Polyp Dataset (Conference on Multimedia Modeling)
  10. Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer (International Journal of Computer Assisted Radiology and Surgery)

Their papers