Shuangling Wang
Neurocomputing · 2015
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Shuangling Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muhammad Moazam Fraz
- Ana Maria Mendonça
- Carmen Alina Lupascu
- Bashir Al-Diri
- Paolo Remagnino
- Trevor J. Hastie
- Diego Marín
- Radhakrishna Achanta
- Andreas Hoppe
- Jean-Claude Klein
Papers from Shuangling Wang's perspective
Ordered by how strongly the researchers Shuangling Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
- Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation (IEEE Transactions on Image Processing)
- Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)
- Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification (IEEE Transactions on Medical Imaging)
- Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification (IEEE Transactions on Medical Imaging)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Ensemble based systems in decision making
- FABC: Retinal Vessel Segmentation Using AdaBoost (IEEE Transactions on Information Technology in Biomedicine)
Their papers
- Hierarchical retinal blood vessel segmentation based on feature and ensemble learning (2015) — 380 citations