ivy9092111111

ivy9092111111's Stars

• XiaoweiXu/ImageCAS-A-Large-Scale-Dataset-and-Benchmark-for-Coronary-Artery-Segmentation-based-on-CT

  551

• zhaoziheng/SAT

  The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"

  Language:Python1457

• ivy9092111111/TT-U-Net

  TT U-Net: Temporal Transformer U-Net for motion artifact reduction in dynamic cardiac CT

  Language:Jupyter Notebook192

• I-STAR/VesselTargetedMoCo

  Language:Python21

• Tencent/PatrickStar

  PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.

  Language:Python74757

• jiahong-fu/Equivariant-Proximal-Operator

  Language:Python14

• JZPeterPan/MCMR-Recon-Driven-Motion

  Unified one-stage motion-compensated MR CINE reconstruction

  Language:Python71

• mobaidoctor/med-ddpm

  Language:Jupyter Notebook15116

• vincentme/GroupRegNet

  Implementation of GroupRegNet: A Groupwise One-shot Deep Learning-based 4D Image Registration Method

  Language:Python296

• torchDDM/DDM

  Language:Python6910

• shiyongyi/LDM_privacy

  Language:Python3

• ErdanC/Tooth-and-alveolar-bone-segmentation-from-CBCT

  Language:Python21432

• faebstn96/helix2fan

  Helical to fan-beam CT geometry rebinning and differentiable FBP of DICOM-CT-PD projections

  Language:Python659

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.2k275

• youngjun-ko/ct_mar_attention

  Codes and data for paper "Rigid and Non-rigid Motion Artifact Reduction in X-ray CT using Attention Module"

  Language:Python193

• JingyunLiang/VRT

  VRT: A Video Restoration Transformer (official repository)

  Language:Python1.4k130

• liyues/NeRP

  Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction

  Language:Python8812

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.9k1.1k

• NVlabs/SPADE

  Semantic Image Synthesis with SPADE

  Language:Python7.6k983

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k337

• zeke-xie/adaptive-inertia-adai

  [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

  Language:Python14111

• shaohua-zhi/N-Net_and_CycNet

  Language:Python61

• kwea123/nerf_pl

  NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

  Language:Jupyter Notebook2.7k480

• QianMo/Real-Time-Rendering-3rd-CN-Summary-Ebook

  :blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》，也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣，或者《Real-Time Rendering 4th》的前置阅读材料。

  2.6k526

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.4k547

• QingLyu0828/CINE_MRI_CONVLSTM

  This is the code for the paper "Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network"

  Language:Python97

• microsoft/Swin-Transformer

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

  Language:Python13.9k2.1k

• XiaoweiXu/Whole-heart-and-great-vessel-segmentation-of-chd_segmentation

  A dataset of whole heart and great vessel segmentation of chd_segmentation is published.

  253

• Tencent/MedicalNet

  Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

  Language:Python1.9k414

• vincent-thevenin/Realistic-Neural-Talking-Head-Models

  My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

  Language:Python830194