[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

Tool for robust segmentation of >100 important anatomical structures in CT images

3D Slicer Plugin for Segment anything in medical images

Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model

Example of evaluation metrics used in the SynthRAD2023 challenge

Image-to-Image Translation in PyTorch

[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

A project to provide custom sorting and renaming of dicom files

GAN for image-to-image translation of 3D T1w and T2w anatomical MR images

Unofficial implementation of "Paired cycle-GAN-based image correction for quantitative cone-beam computed tomography" published in Medical Physics.

3D Cycle GAN from https://github.com/davidiommi/3D-CycleGan-Pytorch-MedImaging adopted for fetal brain reconstruction

synthesis CTA using CT base GAN model

A collection of resources on applications of Transformers in Medical Imaging.

View model summaries in PyTorch!

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Pytorch implementation of UTRAD

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

🐜🐜🐜 ants is a high-performance and low-cost goroutine pool in Go, inspired by fasthttp./ ants 是一个高性能且低损耗的 goroutine 池。

🕸️ input/output for many mesh formats

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

Materials for the 2021 MONAI Bootcamp

Awesome_Transformer_for_medical_image_analysis