SiruLiu645

SiruLiu645's Stars

• MIC-DKFZ/dynamic-network-architectures

  Language:Python7128

• Amshaker/unetr_plus_plus

  [IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

  Language:Python37438

• aigzhusmart/Slim-UNETR

  An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

  Language:Python354

• MIC-DKFZ/MedNeXt

  [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

  Language:Python34826

• lee-zq/3DUNet-Pytorch

  3DUNet implemented with pytorch

  Language:Python506111

• skyshowjoker/3DUNet-Pytorch-master

  Language:Python5

• wolny/pytorch-3dunet

  3D U-Net model for volumetric semantic segmentation written in pytorch

  Language:Jupyter Notebook2k509

• 11yxk/SAM-LST

  Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.

  Language:Python8811

• SuperMedIntel/MedSegDiff

  Medical Image Segmentation with Diffusion Model

  Language:Python1.1k166

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.4k578

• Project-MONAI/research-contributions

  Implementations of recent research prototypes/demonstrations using MONAI.

  Language:Python1k336

• Thanos-DB/FullyConvolutionalTransformer

  [WACV 2023] Official implementation of The Fully Convolutional Transformer for Medical Image Segmentation

  Language:Jupyter Notebook11713

• MIC-DKFZ/nnUNet

  Language:Python6k1.8k

• XiaoweiXu/ImageCHD-A-3D-Computed-Tomography-Image-Dataset-for-Classification-of-Congenital-Heart-Disease

  311

• BR-IDL/PaddleViT

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

  Language:Python1.2k320

• YtongXie/CoTr

  [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

  Language:Python29345

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.8k323

• Beckschen/TransUNet

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

  Language:Python2.4k507

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.2k391

• Wuziyi616/CFUN

  Combining Faster R-CNN and U-net for efficient medical image segmentation

  Language:Python14343

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.3k2.5k

• StevenLiuWen/ano_pred_cvpr2018

  Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

  Language:Python437126

• fengdu78/Data-Science-Notes

  数据科学的笔记以及资料搜集

  Language:Jupyter Notebook8.2k3.1k

• Miraclelucy/dive_into_deep_learning

  ✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

  Language:Python2.5k462

• tianyu0207/RTFM

  Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

  Language:Python32678

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.7k515

• fjchange/awesome-video-anomaly-detection

  Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

  597102