Dinggang Shen
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; #15,410 of 21,575 by trust here, #16,367 by citations
- Psychiatry and Mental health — 9 citations into it; #600 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 Dinggang Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Dinggang Shen overall
Papers from Dinggang Shen's perspective
Ordered by how strongly the researchers Dinggang Shen 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)
- COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements
- Automatic classification of MR scans in Alzheimer’s disease
- 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
- Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study (NeuroImage)
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database (NeuroImage)
Their papers
- Ensemble Sparse Classification of Alzheimer’s Disease (2012) — 322 citations