BIDS-Statistical Models meeting summary

October 31, 2018

A few weeks ago (October 17th-19th, 2018) we hosted a 3 day meeting at Stanford University to further extend the BIDS standard to describe statistical model specifications of neuroimaging analyses. We invited a diverse international group representing different platforms and groups (i.e. AFNI, NIDM, Gigantum) whose work would benefit from a standard for statistical models. […]

OpenNeuro meeting summary

October 31, 2018

A few weeks ago (October 15th, 2018) we hosted a meeting at Stanford University to affirm the goals and further advancements of OpenNeuro. We invited our engineering team (Squishymedia), the NIMH data science and sharing team as well as a representative of NIMH extramural funding division. The goal of this meeting was for all participants […]

BIDS-Processed meeting summary

September 17, 2018

Last month (Aug 22th-24th, 2018) we hosted a 3 day meeting at Stanford University to further extend the BIDS standard into the processed derivatives domain. We invited an international group representing many different organizations (i.e. MRN, HCP, Invicro, NDA) and analysis packages (i.e. FSL, FreeSurfer, ANTs, dipy, nilearn). The goal of this meeting was to […]

BIDS-Processed Data Survey Results

August 10, 2018

Introduction We launched a survey to investigate what derivatives the neuroimaging community determines has a strong chance of being reused or has a higher priority to save and share. The survey was shared across several prevalent neuroimaging mailing lists. These results will guide our standardization efforts. The survey focused on derivatives for MRI modalities – […]

BIDS Info/Help session presentation

June 29, 2018

Stanford Center for Reproducible Neuroscience held a BIDS info/help session on the Stanford University campus on June 29, 2018. We are making the slides used for the presentation available for all to review and look through. This presentation was used to introduce the attendees to BIDS, go through the different modality templates covered by BIDS, […]

BIDS Tutorial Series: HeuDiConv Walkthrough

May 17, 2018

Introduction Welcome back to the next tutorial in the tutorial series “Getting Started with BIDS”. In this tutorial, we will be utilizing an off-the-shelf solution called HeuDiConv. This tutorial will illustrate a detailed step-by-step guide on how to use HeuDiConv. The guide will take one subject and iteratively add one session at a time until the […]

BIDS Tutorial Series: Automate the Introductory Walkthrough

February 22, 2018

Introduction Welcome to part 1B of the tutorial series “Getting Started with BIDS”. This tutorial will illustrate how one can automate the conversation of DICOMs into a valid BIDS dataset. This tutorial will follow the same workflow detailed in part 1A of this tutorial series. We will be using DICOMs from the Nathan Kline Institute (NKI) […]

BIDS Tutorial Series: Introductory Walkthrough

February 22, 2018

Introduction Welcome to part 1A of the tutorial series “Getting Started with BIDS”. The tutorial series will introduce you to converting brain data into the BIDS organizational standard, provide an example of how to convert a dataset into BIDS (manually and an automated solution), and examine different off-the-shelf automated solutions. This tutorial will show a […]

OpenfMRI becomes OpenNeuro

February 14, 2018

Six months ago we launched a new platform for sharing and analyzing neuroimaging data – OpenNeuro.org. Over 600 users have registered on the platform since it launched, helping us test all of the new exciting features (such as client-side BIDS dataset validation, resumable uploads, and running analysis apps). We are now ready to make OpenNeuro […]

OpenNeuro App Highlights: ndmg-d

November 28, 2017

This post is part of a series of blog posts highlighting image analysis apps available on the OpenNeuro.org platform. It was contributed by Greg Kiar. Welcome to part one of a two-part spotlight on an original BIDS App [1], Neurodata’s MRI to graphs (ndmg; pronounced nutmeg) pipeline for connectome estimation. The ndmg pipeline (made in Python, hosted […]

Response to Next-Generation Data Science Challenges in Health and Biomedicine RFI

November 1, 2017

Text of the Request for Information call: https://grants.nih.gov/grants/guide/notice-files/NOT-LM-17-006.html Recent years have proven that two components are essential for artificial intelligence breakthroughs: large, rich datasets and advanced algorithms. Advances in machine vision (especially object recognition) are a great example of this. The substantial increase in the accuracy of those systems was only possible due to availability of […]

OpenNeuro App Highlights: MAGeT-Brain

October 2, 2017

This is a first episode of a series of blog posts highlighting image analysis apps available on the OpenNeuro.org platform. This piece was contributed by Gabriel A. Devenyi and Mallar Chakravarty. New to the OpenNeuro platform is the automatic structural segmentation pipeline MAGeT-Brain. Coming along with the pipeline are 5 expertly-segmented atlas/label combinations, at 0.3 mm isotropic, […]