bayer-science-for-a-better-life / contrastive-reconstructionLinks
Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
☆13Updated 3 years ago
Alternatives and similar repositories for contrastive-reconstruction
Users that are interested in contrastive-reconstruction are comparing it to the libraries listed below
Sorting:
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16Updated 4 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆64Updated 4 years ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images☆59Updated 3 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 3 years ago
- This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics☆58Updated 3 years ago
- ☆24Updated 4 years ago
- Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification☆73Updated 3 years ago
- [ISBI 2023] Official Implementation for Label-Assemble☆20Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆64Updated last year
- A collection of self-supervised papers in medical imaging.☆40Updated 4 years ago
- Official Code Release for "Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segment…☆52Updated 2 years ago
- Official PyTorch implementation of CASS, from the following paper: CASS: Cross Architectural Self-Supervision for Medical Image Analysis…☆20Updated last year
- MoCo-based unsupervised training for Chest X-Ray Interpretation☆45Updated 4 years ago
- Jhhuangkay / DeepOpht-Medical-Report-Generation-for-Retinal-Images-via-Deep-Models-and-Visual-Explanation☆46Updated 5 months ago
- Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention…☆50Updated 5 years ago
- ☆21Updated 5 years ago
- S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning☆16Updated 3 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- ☆36Updated 3 years ago
- Reproducing CheXpert paper using the PyTorch library.☆43Updated 2 years ago
- ☆34Updated 4 years ago
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆105Updated last year
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆19Updated 4 years ago
- Official implementation of "Clustering as Attention: Unified Image Segmentation with Hierarchical Clustering"☆32Updated 3 years ago
- Official Code Repository for Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses (X-Caps)☆21Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- Supervised and semi-supervised image classification with self-supervised regularization.☆36Updated 3 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆37Updated 2 years ago