Russell T. Shinohara
Cognitive Neuroscience · 2014–2021
A researcher in the Science corpus: 13 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 165 citations into it
- Radiology, Nuclear Medicine and Imaging — 150 citations into it
- Computer Vision and Pattern Recognition — 54 citations into it
- Molecular Biology — 50 citations into it
- Artificial Intelligence — 35 citations into it
- Statistics and Probability — 28 citations into it
- Biomedical Engineering — 6 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Russell T. Shinohara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christos Davatzikos
- Karl J. Friston
- W. Hoeffding
- Moo K. Chung
- Vladimir Naumovich Vapni
- Aixia Guo
- Fortunato Pesarin
- Theofanis Sapatinas
- Yoav Benjamini
- John Ashburner
Who trusts Russell T. Shinohara overall
Papers from Russell T. Shinohara's perspective
Ordered by how strongly the researchers Russell T. Shinohara trusts endorse each paper. Same corpus, a different order for every researcher.
- Voxel-based morphometry--the methods.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
- Spatial pattern analysis of functional brain images using partial least squares.
- The Nature of Statistical Learning Theory
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
- Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
Their papers
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network (2021) — 962 citations
- The extent and drivers of gender imbalance in neuroscience reference lists (2020) — 527 citations
- Brain charts for the human lifespan (2021) — 1,503 citations
- The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification (2021) — 1,091 citations
- Individual Variation in Functional Topography of Association Networks in Youth (2020)
- Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data (2018) — 445 citations
- On testing for spatial correspondence between maps of human brain structure and function (2018) — 716 citations
- Harmonization of multi-site diffusion tensor imaging data (2017) — 1,157 citations
- Harmonization of cortical thickness measurements across scanners and sites (2017) — 1,415 citations
- Quantitative Assessment of Structural Image Quality (2017) — 399 citations
- Benchmarking of participant‐level confound regression strategies for the control of motion artifact in studies of functional connectivity (2017) — 988 citations
- Interpreting support vector machine models for multivariate group wise analysis in neuroimaging (2015) — 67 citations
- Statistical normalization techniques for magnetic resonance imaging (2014) — 406 citations