zzhouhongchao

zzhouhongchao's Stars

• cwmok/LapIRN

  Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

  Language:Python11620

• ZAX130/RDP

  Language:Python15

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook2.5k323

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2k399

• MungoMeng/Registration-CorrMLP

  [CVPR2024 Oral && Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration

  Language:Python392

• xmindflow/TransCeption

  Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach

  Language:Jupyter Notebook473

• GOATmessi7/ASFF

  yolov3 with mobilenet v2 and ASFF

  Language:Python1k216

• HuCaoFighting/Swin-Unet

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

  Language:Python1.6k298

• YutingHe-list/PC-Reg-RT

  The source code of "Few-shot Learning for Deformable Medical Image Registration with Perception-Correspondence Decoupling and Reverse Teaching".

  Language:Python142

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.4k2k

• ZAX130/ModeTv2

  Language:Python81

• cecret3350/DEA-Net

  [IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

  Language:Python1619

• khdlr/HED-UNet

  Simultaneous Semantic Segmentation and Edge Detection

  Language:Python864

• murufeng/EPSANet

  Language:Python27348

• TuSimple/TuSimple-DUC

  Understanding Convolution for Semantic Segmentation

  Language:Python601118

• munanning/Pytorch_3D_Attention_Modules

  Pytorch implement of 3D attention modules

  Language:Python205

• Awesome-Image-Registration-Organization/awesome-image-registration

  image registration related books, papers, videos, and toolboxes

  1.2k163

• tzayuan/TransMatch_TMI

  This repository implements the TransMatch model for unsupervised deformable image registration, as published in the IEEE TMI journal.

  Language:Python394

• houqb/CoordAttention

  Code for our CVPR2021 paper coordinate attention

  Language:Python984120

• ziyangwang007/VMambaMorph

  VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module

  Language:Python334

• Cuthbert-Huang/CPCANet

  Language:Python382

• MC-E/COLA-Net-Collaborative-Attention-Network-for-Image-Restoration

  Accepted by TMM 2021

  Language:Python406

• speedinghzl/CCNet

  CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

  Language:Python1.4k278

• moelmahdy/JRS-MTL

  Language:Python3

• Serge-weihao/CCNet-Pure-Pytorch

  Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

  Language:Python18220

• junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration

  TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

  Language:Python41667

• MungoMeng/Registration-AutoFuse

  AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised Medical Image Registration

  Language:Python8

• McGregorWwww/UCTransNet

  Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.

  Language:Python36348

• McGregorWwww/UDTransNet

  This repo is the official implementation of 'Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation' which is an improved journal version of UCTransNet.

  Language:Python587

• jianqingzheng/res_aligner_net

  Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration

  Language:Python17