facebookresearch / fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
☆1,386Updated last month
Alternatives and similar repositories for fastMRI:
Users that are interested in fastMRI are comparing it to the libraries listed below
- Medical imaging processing for deep learning.☆2,128Updated 3 weeks ago
- U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI☆735Updated last year
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,780Updated 6 months ago
- tracking medical datasets, with a focus on medical imaging☆825Updated last year
- Deep learning framework for MRI reconstruction☆254Updated 2 weeks ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,118Updated 3 months ago
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,318Updated 8 months ago
- SOTA medical image segmentation methods based on various challenges☆1,572Updated last year
- MONAI Tutorials☆1,982Updated last week
- Awesome GAN for Medical Imaging☆2,318Updated 2 years ago
- A medical imaging framework for Pytorch☆861Updated 9 months ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,060Updated last month
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆750Updated last month
- Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.☆157Updated 11 months ago
- Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo☆331Updated 2 years ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆566Updated 7 months ago
- EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.☆8Updated last month
- A collection of resources on applications of Transformers in Medical Imaging.☆1,219Updated 10 months ago
- MICCAI 2019-2023 Open Source Papers☆1,259Updated last year
- Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet projec…☆1,995Updated last year
- Medical image registration using deep learning☆575Updated 2 years ago
- [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy☆1,369Updated 4 years ago
- A collection of papers about Transformer in the field of medical image analysis.☆467Updated last year
- A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning☆410Updated last year
- Contrast-agnostic segmentation of MRI scans☆411Updated 7 months ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,039Updated 6 months ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆447Updated last year
- Library to compute surface distance based performance metrics for segmentation tasks.☆544Updated this week
- A list of Medical imaging datasets.☆2,337Updated 5 months ago
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆1,980Updated last week