Soichi Hayashi
Physics and Astronomy · Indiana University
Publications
140
Citations
1,871
Est. group size
—
Recurring co-author estimate
Active years
61
Publishing since 1966
Soichi Hayashi works at the intersection of scientific computing and neuroimaging data infrastructure, building tools and standards that help researchers organize, validate, and share brain imaging datasets (such as MRI scans). Much of this work involves developing software platforms for data standardization, quality control, and distributed data management, alongside applications of machine learning to image analysis.
Publication activity has been steady but modest over the past decade, averaging around two per year with a small peak in 2023.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~8 · 16% small-team papers (≤3 authors) · across 14 venues
- bids-validator
Zenodo (CERN European Organization for Nuclear Research) · 2026
- A labeled Clinical-MRI dataset of Nigerian brains
Scientific Data · 2025
- ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms
Scientific Data · 2024
- A labeled Clinical-MRI dataset of Nigerian brains
arXiv (Cornell University) · 2023
- Project APRED: A web-based data analytics platform for supporting community disaster resilience
Journal of Emergency Management · 2023
- ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms
arXiv (Cornell University) · 2023
- ezBIDS_tutorial_data
Figshare · 2023
- ezBIDS_tutorial_data
Figshare · 2023
- DataLad: distributed system for joint management of code, data, and their relationship
The Journal of Open Source Software · 2021
- Infrared image-analysis-based concrete inspection using machine learning
2021
- Scalable Quality Assurance for Neuroimaging (SQAN): automated quality control for medical imaging
2020
- Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
NeuroImage · 2020
- Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
bioRxiv (Cold Spring Harbor Laboratory) · 2020
- Test Publication / Deep Residual Learning for Image Recognition
2020
- Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum
Lecture notes in computer science · 2018
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE×4
- Scientific Data×3
- Nature Methods×2
- arXiv (Cornell University)×2
- Figshare×2
- Kevin J. Kubarych
Physics and Astronomy · University of Michigan
- Garth J. Simpson
Physics and Astronomy · Purdue University West Lafayette
- Mike Reppert
Physics and Astronomy · Purdue University West Lafayette
- Andrew P. Boughton
Physics and Astronomy · University of Michigan
- Albert Liu
Physics and Astronomy · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 27, 2026.
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