
Sold by: FastMRI
Open data
|
Deployed on AWS
This dataset contains deidentified raw k-space data and DICOM image files of over 1,500 knees and 6,970 brains.
Overview
This dataset contains deidentified raw k-space data and DICOM image files of over 1,500 knees and 6,970 brains.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Raw k-space data and DICOM files for a knee and brain dataset in a public S3 bucket
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::fastmri-dataset
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://fastmri-dataset/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
NYU Langone & FAIR FastMRI Dataset was accessed on DATE from https://registry.opendata.aws/nyu-fastmri .
License
MIT License
Similar products
Executive-level Fractional CTO and Chief AI Officer (CAIO) retainer for regulated mid-market organizations in healthcare, financial services, insurance, and life sciences ($10M–$2B revenue).
Three monthly tiers (10 / 20 / 40 hrs/month) covering AI strategy, AWS Well-Architected reviews (Machine Learning Lens), Amazon Bedrock + Anthropic Claude vs Azure OpenAI vs Vertex AI vendor-neutral guidance, AI governance committee facilitation, NIST AI RMF + sector-framework alignment (HIPAA, GLBA, NYDFS, SR 11-7, GxP, NAIC), board + investor reporting, executive hiring advisory, and M&A tech diligence support. Delivered by Kriv AI CEO Abhinav Dangri (NYU alumnus, architect of a deployed 7-agent healthcare AI governance platform). 2-business-day response, 30-day cancellation, senior-led delivery — no offshore staff. AWS Select Tier Services Partner + Databricks Partner + Anthropic CPN member.
Facilitated executive workshop for C-suite leaders in regulated mid-market enterprises ($500M–$5B revenue) — healthcare, financial services, insurance, life sciences, legal, manufacturing.
Three formats: Half-Day ($5K), Full-Day ($10K), 2-Day Offsite ($15K). Custom-built per customer industry context, risk posture, and current AWS footprint — facilitated by Kriv AI CEO Abhinav Dangri (NYU alumnus, architect of a deployed 7-agent healthcare AI governance platform). Includes pre-work (questionnaire + 60-min CEO/CIO scoping + 3–5 stakeholder interviews + curated reading packet), workshop (vendor-neutral platform comparison Bedrock vs Foundry vs Vertex, Claude vs GPT vs open models, regulatory implications, peer benchmarks), and post-work artifact (40-slide custom strategy deck + 2-page executive memo + AWS-native reference architecture) within 10 business days. AWS Select + Databricks + Anthropic CPN.