| Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis | Jun 1, 2022 | Medical Image Analysisobject-detection | CodeCode Available | 0 |
| The Fully Convolutional Transformer for Medical Image Segmentation | Jun 1, 2022 | Image SegmentationMedical Image Analysis | CodeCode Available | 1 |
| Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) | May 20, 2022 | AnatomyImage Segmentation | CodeCode Available | 1 |
| Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition | May 19, 2022 | Medical Image Analysis | CodeCode Available | 0 |
| Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging | May 17, 2022 | Federated LearningMedical Image Analysis | CodeCode Available | 1 |
| Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training | May 10, 2022 | image-classificationImage Classification | —Unverified | 0 |
| Can collaborative learning be private, robust and scalable? | May 5, 2022 | Adversarial RobustnessFederated Learning | —Unverified | 0 |
| MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning | May 3, 2022 | Federated LearningLesion Segmentation | —Unverified | 0 |
| Symmetric Transformer-based Network for Unsupervised Image Registration | Apr 28, 2022 | DecoderImage Registration | CodeCode Available | 1 |
| Masked Image Modeling Advances 3D Medical Image Analysis | Apr 25, 2022 | Contrastive LearningDecoder | —Unverified | 0 |
