jlianglab / CAiD
Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 2022
☆10Updated 2 years ago
Alternatives and similar repositories for CAiD:
Users that are interested in CAiD are comparing it to the libraries listed below
- [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+☆64Updated 4 months ago
- [MedIA 2023] The official implementation of MIA paper "Dive into the details of Self-supervised Learning for Medical Image Analysis"☆31Updated 11 months ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- [TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.☆19Updated last year
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆30Updated last year
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆33Updated 2 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆39Updated last week
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆101Updated 11 months ago
- Code implementation for our paper ACCEPTED in ISBI, 2022☆39Updated 3 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆36Updated 2 years ago
- [MICCAI 2021] Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities☆38Updated 3 years ago
- The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"☆73Updated last year
- MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images☆35Updated 2 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"☆54Updated 3 months ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆47Updated last year
- ☆67Updated 9 months ago
- Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images☆22Updated 2 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- A collection of self-supervised papers in medical imaging.☆39Updated 4 years ago
- ☆27Updated last year
- Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis☆52Updated 2 years ago
- ☆31Updated last year
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆48Updated last year
- code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets☆54Updated 3 years ago
- [IPMI'23] Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification☆13Updated last year
- IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment☆20Updated 3 years ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆44Updated 2 months ago
- ☆20Updated 2 months ago