Latha Srinivasan
Computer Vision and Pattern Recognition · 2007–2011
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 13 citations into it
- Geometry and Topology — 6 citations into it
Whom Latha Srinivasan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Latha Srinivasan's perspective
Ordered by how strongly the researchers Latha Srinivasan trusts endorse each paper. Same corpus, a different order for every researcher.
- Voxel-based morphometry--the methods.
- Advances in functional and structural MR image analysis and implementation as FSL.
- Fast robust automated brain extraction
- Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (NeuroImage)
- Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
- "Voxel-Based Morphometry" Should Not Be Used with Imperfectly Registered Images (NeuroImage)
- Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- A nonparametric method for automatic correction of intensity nonuniformity in MRI data
- Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
Their papers
- A dynamic 4D probabilistic atlas of the developing brain (2011) — 313 citations
- Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants (2007) — 321 citations