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A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.
PyTorch code and models for the DINOv2 self-supervised learning method.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
深度学习总结，包含基础知识、目标检测、目标跟踪、目标分类，深度学习八股文，相关竞赛等
CloudMoe Windows 10/11 Activation Toolkit get digital license, the best open source Win 10/11 activator in GitHub. GitHub 上最棒的开源 Win10/Win11 数字权利（数字许可证）激活工具！
Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
Image restoration with neural networks but without learning.
An un-trained neural network with a potential application in accelerated MRI
Calibrationless Parallel MRI with ENLIVE
Official TensorFlow implementation of Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
A curated list of resources on implicit neural representations.
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
CVPR 2024-Improved Implicit Neural Representation with Fourier Reparameterized Training
Python implementations of GRAPPA-like algorithms.
A python/Pytorch re-implementation of several classical Magnetic Resonance Imaging (MRI) reconstruction algorithms
A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions
OCMR (Open-Access Repository for Multi-Coil k-space Data for Cardiovascular Magnetic Resonance Imaging)
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
Hiera: A fast, powerful, and simple hierarchical vision transformer.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Implementations of recent research prototypes/demonstrations using MONAI.
The official implementation of "A Light-weight Universal Medical Segmentation Network for Laptops Based on Knowledge Distillation" (CVPR 2024 Workshop)