FengYidan's repositories
AD-ncomms2022
Multimodal deep learning for Alzheimer's disease dementia assessment
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
cleargrasp
Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
DAGL
Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
dataset
医学影像数据集列表
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
ENLCA
This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI22
fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
fastmri-plus
Data labels and scripts for fastMRI.org
MINet
【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
MTrans
【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers
OWOD
(CVPR 2021 Oral) Open World Object Detection
perceiver-multi-modality-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Pixel-Level-Cycle-Association
Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Restormer
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
SCL-LLE
SCL-LLE code
score_inverse_problems
Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
SpatialAlignmentNetwork
code for Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
torchimize
numerical optimization algorithms in pytorch
TransIAR
AD-M3T
unsupervised_co_part_segmentation
Source code for paper Unsupervised Co-part Segmentation through Assembly