[Neurips 2024] This repository is the official implementation of the Spatio-hemispherical equivariant convolution for dMRI deconvolution paper presented at Neurips 2024..

[ICCV 2019] Monocular depth estimation from a single image

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

论文写作与资料分享

Implementation of the paper "Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI" with the additional HashEnc method.

Diffusion MRI Simulation Toolbox in Matlab

A shift-window based transformer for 3D sparse tasks

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Latex 模板合集，旨在帮助大家输出更加漂亮、干净、专业的文稿

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Reconstruction code and reproducible reconstruction scripts for DNLINV paper

A collection of resources on applications of multi-modal learning in medical imaging.

ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Fast and differentiable MS-SSIM and SSIM for pytorch.

pytorch structural similarity (SSIM) loss for 3D images

The official codes for the work "MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation".

Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.

Implementation codes for "Jointly estimating parametric maps of multiple diffusion models"

Using self-supervised deep learning to fit a directional T1 ball-stick model to diffusion-relaxometry brain MRI data

Demo for METSC: A microstructure estimation Transformer inspired by sparse representation for diffusion MRI (MedIA 2023).

Analysis code and Flywheel gear files for TOME fixel-based diffusion analysis

Multi-site dMRI harmonization

Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"