Li Min

Computer Vision and Pattern Recognition · 2014

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 Li Min trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Sujit Kumar Ghosh
  3. Stefan Bauer
  4. Corinna Cortes
  5. Vaidy Mani
  6. Neeraj Sharma
  7. Andre Bleau
  8. Arthur P. Dempster
  9. A. Buades
  10. William R. Crum

Papers from Li Min's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Support-Vector Networks
  3. Automatic segmentation of non-enhancing brain tumors in magnetic resonance images (Artif. Intell. Medicine)
  4. Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications (IEEE Transactions on Medical Imaging)
  5. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. (Journal of Clinical Oncology)
  6. A review of atlas-based segmentation for magnetic resonance brain images
  7. A survey of MRI-based medical image analysis for brain tumor studies (Physics in Medicine and Biology)
  8. A brain tumor segmentation framework based on outlier detection (Medical Image Anal.)
  9. Current methods in medical image segmentation. (Annual Review of Biomedical Engineering)
  10. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Their papers