Liu Jin
Computer Vision and Pattern Recognition · with Liu · 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
- Computer Vision and Pattern Recognition — 27 citations into it
- Artificial Intelligence — 9 citations into it
Whom Liu Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Sujit Kumar Ghosh
- Stefan Bauer
- Corinna Cortes
- Vaidy Mani
- Neeraj Sharma
- Andre Bleau
- Arthur P. Dempster
- A. Buades
- William R. Crum
Who trusts Liu Jin overall
Papers from Liu Jin's perspective
Ordered by how strongly the researchers Liu Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Support-Vector Networks
- Automatic segmentation of non-enhancing brain tumors in magnetic resonance images (Artif. Intell. Medicine)
- Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications (IEEE Transactions on Medical Imaging)
- Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. (Journal of Clinical Oncology)
- A review of atlas-based segmentation for magnetic resonance brain images
- A survey of MRI-based medical image analysis for brain tumor studies (Physics in Medicine and Biology)
- Snakes: Active contour models
- A brain tumor segmentation framework based on outlier detection (Medical Image Anal.)
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Their papers
- A survey of MRI-based brain tumor segmentation methods (2014) — 406 citations