Ting Luo's repositories
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
3D_CycleGAN
GAN for image-to-image translation of 3D T1w and T2w anatomical MR images
AbsegNet
[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.
Awesome_Transformer_for_medical_image_analysis
Awesome_Transformer_for_medical_image_analysis
CBCT-to-CT-using-3d-cyclegan
Unofficial implementation of "Paired cycle-GAN-based image correction for quantitative cone-beam computed tomography" published in Medical Physics.
CovidPrognosis
COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations
CTA-GAN
synthesis CTA using CT base GAN model
Cycle_GAN_3D
3D Cycle GAN from https://github.com/davidiommi/3D-CycleGan-Pytorch-MedImaging adopted for fetal brain reconstruction
medical_transformers
Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"
MedSAMSlicer
3D Slicer Plugin for Segment anything in medical images
meshio
:spider_web: input/output for many mesh formats
metrics
Example of evaluation metrics used in the SynthRAD2023 challenge
MONAIBootcamp2021
Materials for the 2021 MONAI Bootcamp
PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
SlicerTotalSegmentator
Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model
stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT images
WORD
[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image