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Tianjin University
- Tianjing ,China
- https://scholar.google.com/citations?user=USoKG48AAAAJ&hl=zh-CN
Starred repositories
A Survey on CLIP in Medical Imaging
jacobmarks / awesome-clip-papers
< 8000 /div>The most impactful papers related to contrastive pretraining for multimodal models!
A collection of resources and papers on Diffusion Models
A curated list of foundation models for vision and language tasks in medical imaging
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
2020-2021年计算机视觉综述论文分方向整理
Few Shot Semantic Segmentation Papers
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
[npj Digital Medicine'21] Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. (Nature publishing group)
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
A collection of AWESOME things about domian adaptation
A framework for data augmentation for 2D and 3D image classification and segmentation
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
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 rela…
A collection of loss functions for medical image segmentation
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
All Algorithms implemented in Python
LaTeX template for dissertations in Tianjin University.
🤘 awesome-semantic-segmentation