ArticleScientific data2022
fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Review of CNN-Based Approaches for Preprocessing, Segmentation and Classification of Knee Osteoarthritis.Diagnostics (Basel, Switzerland) · 2026Review
- A Trust-Guided Approach to MR Image Reconstruction With Side Information.IEEE transactions on medical imaging · 2026Article
- Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO).IEEE transactions on computational imaging · 2026Article
- Using deep feature distances for evaluating the perceptual quality of MR image reconstructions.Magnetic resonance in medicine · 2025Article
- Deep learning-based Intraoperative MRI reconstruction.European radiology experimental · 2025Article
- Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging.Nature communications · 2025Article
- Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits.Magma (New York, N.Y.) · 2025Article
- Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction.Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision · 2025Article
- Time-Embedded Algorithm Unrolling for Computational MRI.Advances in neural information processing systems · 2025Article
- FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI.Radiology. Artificial intelligence · 2025Article
- Clean Self-Supervised MRI Reconstruction from Noisy, Sub-Sampled Training Data with Robust SSDU.Bioengineering (Basel, Switzerland) · 2024Article
- Deep learning for accelerated and robust MRI reconstruction.Magma (New York, N.Y.) · 2024Review
- CMRxRecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac MRI.Scientific data · 2024Article
- FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging.Scientific data · 2024Article
- Learning Task-Specific Strategies for Accelerated MRI.IEEE transactions on computational imaging · 2024Article
- Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology.Radiology · 2024Review
- A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke.Scientific data · 2023Article
- Synthetic Inflammation Imaging with PatchGAN Deep Learning Networks.Bioengineering (Basel, Switzerland) · 2023Article
- A densely interconnected network for deep learning accelerated MRI.Magma (New York, N.Y.) · 2023Article
- A Path Towards Clinical Adaptation of Accelerated MRI.Proceedings of machine learning research · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Improving speed and image quality of Magnetic Resonance Imaging (MRI) using deep learning reconstruction is an active area of research. The fastMRI dataset contains large volumes of raw MRI data, which has enabled significant advances in this field. While the impact of the fastMRI dataset is unquestioned, the dataset currently lacks clinical expert pathology annotations, critical to addressing clinically relevant reconstruction frameworks and exploring important questions regarding rendering of specific pathology using such novel approaches. This work introduces fastMRI+, which consists of 16154 subspecialist expert bounding box annotations and 13 study-level labels for 22 different pathology categories on the fastMRI knee dataset, and 7570 subspecialist expert bounding box annotations and 643 study-level labels for 30 different pathology categories for the fastMRI brain dataset. The fastMRI+ dataset is open access and aims to support further research and advancement of medical imaging in MRI reconstruction and beyond.
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Registered trials
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