Starred repositories
This repo is the official implementation of "Mask-based Latent Reconstruction for Reinforcement Learning" (NeurIPS 2022).
MATLAB implementation of the Joint Motion Estimation and Image Reconstruction Framework proposed in my Ph.D. thesis
Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI doi: 10.1002/mrm.29703
How to check GAN's generator ability? we can check our model by using t-SNE!
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Extensible, parallel implementations of t-SNE
Visualization techniques for the latent space of a convolutional autoencoder in Keras
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
iterative Motion Compensation (iMoCo) reconstruction for MRI. Includes both Matlab and Python implementations. reference doi 10.1002/mrm.27998
End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with La…
TiouTiouFang / TIGRE
Forked from CERN/TIGRETIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
deep learning for image processing including classification and object-detection etc.
A versatile python framework for tomographic imaging
Content-oriented Sparse Representation (COSR) Denoising in CT Images with the Ability of Texture and Edge Preserving
X-ray Cone Beam Computed Tomography: Simulation
Preprocessing scripts: from dicom to aligned nitfy for SynthRAD2023 Grand Challenge
Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.
Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]
A python 3 application that accepts user input for cone beam CT imaging simulation using astral-toolbox.