Daniel Birman

Cognitive Neuroscience · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 12 citations into it
• Radiology, Nuclear Medicine and Imaging — 9 citations into it

Whom Daniel Birman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bruce Fischl
2. Jasper Snoek
3. Krzysztof J. Gorgolewski
4. Pierre Geurts

Papers from Daniel Birman's perspective

Ordered by how strongly the researchers Daniel Birman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Scikit-learn: Machine Learning in Python
2. Practical Bayesian Optimization of Machine Learning Algorithms
3. Support-Vector Networks
4. Extremely randomized trees
5. FreeSurfer (NeuroImage)
6. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments (Scientific Data)
7. Deriving reproducible biomarkers from multi‐site resting‐state data: An Autism‐based example (NeuroImage)
8. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
9. Harmonization of cortical thickness measurements across scanners and sites (bioRxiv)
10. Tackling the widespread and critical impact of batch effects in high-throughput data

Their papers

• MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites (2016) — 896 citations