TiagoFilipeSousaGoncalves / survey-attention-medical-imaging
Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira and Jaime S. Cardoso.
☆13Updated 2 years ago
Alternatives and similar repositories for survey-attention-medical-imaging:
Users that are interested in survey-attention-medical-imaging are comparing it to the libraries listed below
- Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20…☆10Updated 2 years ago
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆43Updated last year
- official pytorch implementation of PCRL☆77Updated 3 years ago
- MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images☆35Updated 2 years ago
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆48Updated last year
- [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification☆51Updated 2 weeks ago
- MoCo-based unsupervised training for Chest X-Ray Interpretation☆42Updated 3 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆72Updated 4 months ago
- [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+☆62Updated 3 months ago
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆101Updated 10 months ago
- Anatomy-aware self-supervised learning☆11Updated 8 months ago
- Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis☆50Updated last year
- IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment☆20Updated 2 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆15Updated 2 years ago
- Code implementation for our paper ACCEPTED in ISBI, 2022☆39Updated 2 years ago
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆18Updated last year
- ☆21Updated last month
- ☆26Updated last year
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆39Updated 9 months ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- ☆15Updated 2 years ago
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆34Updated 2 years ago
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆40Updated last month
- Official PyTorch implementation of Scribble2Label (MICCAI 2020)☆34Updated 3 years ago
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆33Updated 2 years ago
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆32Updated 2 years ago
- [MICCAI 2021] Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities☆38Updated 3 years ago