Jean-Baptiste Poline
Cognitive Neuroscience · 1994–2019
A researcher in the Science corpus: 19 papers; trusts 15 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 166 citations into it; #2,636 of 10,852 by trust here, #429 by citations
- Radiology, Nuclear Medicine and Imaging — 78 citations into it
- Statistics and Probability — 45 citations into it
- Experimental and Cognitive Psychology — 27 citations into it; #8,069 of 9,731 by trust here, #3,388 by citations
- Artificial Intelligence — 20 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Information Systems and Management — 11 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Jean-Baptiste Poline trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel S. Marcus
- Karl J. Friston
- Stephen M. Smith
- Hirotugu Akaike
- Calyampudi R. Rao
- K. Jarrod Millman
- Olaf Sporns
- Jianbo Shi
- E. Bullmore
- Richard E. Mayer
Who trusts Jean-Baptiste Poline overall
- Russell A. Poldrack
- Peter Fransson
- Karl J. Friston
- John-Dylan Haynes
- John Ashburner
- Krzysztof J. Gorgolewski
- Christos Davatzikos
- W. D. Penny
- Janaina Mourão Miranda
- S. Werner
Papers from Jean-Baptiste Poline's perspective
Ordered by how strongly the researchers Jean-Baptiste Poline trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
- ImageNet classification with deep convolutional neural networks
- Normalized cuts and image segmentation
- ALE meta‐analysis: Controlling the false discovery rate and performing statistical contrasts (Human Brain Mapping)
- Spatial pattern analysis of functional brain images using partial least squares.
- Estimating the Dimension of a Model
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
- To Smooth or Not to Smooth?: Bias and Efficiency in fMRI Time-Series Analysis
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
Their papers
- Variability in the analysis of a single neuroimaging dataset by many teams (2019) — 901 citations
- The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments (2016) — 1,663 citations
- Best Practices in Data Analysis and Sharing in Neuroimaging using MRI (2016) — 486 citations
- Teaching Computational Reproducibility for Neuroimaging (2018) — 19 citations
- Grand Challenges for Global Brain Sciences (2016)
- Scanning the horizon: towards transparent and reproducible neuroimaging research (2016) — 1,305 citations
- To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery (2016)
- Correlated gene expression supports synchronous activity in brain networks (2015) — 614 citations
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (2014) — 790 citations
- Which fMRI clustering gives good brain parcellations? (2014) — 347 citations
- NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain (2014) — 592 citations
- Data sharing in neuroimaging research (2012) — 296 citations
- Brain covariance selection: better individual functional connectivity models using population prior (2010) — 307 citations
- Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses (2007) — 581 citations
- Inverse retinotopy: Inferring the visual content of images from brain activation patterns (2006) — 377 citations
- Valid conjunction inference with the minimum statistic (2005) — 1,945 citations
- The visual word form area: a prelexical representation of visual words in the fusiform gyrus (2002) — 679 citations
- Multivariate Model Specification for fMRI Data (2002) — 66 citations
- Statistical parametric maps in functional imaging: A general linear approach (1994)