Daoqiang Zhang
Computer Vision and Pattern Recognition · with Liu · 2012
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it; #15,408 of 21,575 by trust here, #16,367 by citations
- Psychiatry and Mental health — 9 citations into it; #598 of 1,338 by trust here, #974 by citations
- Artificial Intelligence — 7 citations into it
- Physiology — 7 citations into it
- Cognitive Neuroscience — 6 citations into it
- Computational Mechanics — 5 citations into it
Whom Daoqiang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christos Davatzikos
- Yong Fan
- Chih-Jen Lin
- Tin Kam Ho
- Michael Elad
- John G. Sled
- Mohamed-Jalal Fadili
- Juan José Rodríguez Diez
- Dinggang Shen
- John Wright
Who trusts Daoqiang Zhang overall
Papers from Daoqiang Zhang's perspective
Ordered by how strongly the researchers Daoqiang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Pattern Classification
- Morphological classification of brains via high-dimensional shape transformations and machine learning methods (NeuroImage)
- Automatic classification of MR scans in Alzheimer’s disease
- COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements
- LIBSVM: A library for support vector machines
- Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
- A nonparametric method for automatic correction of intensity nonuniformity in MRI data
- Prediction of MCI to AD conversion, via MRI, CSF biomarkers, pattern classification
- Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. (Neurobiology of Aging)
- Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study (NeuroImage)
Their papers
- Ensemble Sparse Classification of Alzheimer’s Disease (2012) — 322 citations