| Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging | May 17, 2022 | Federated LearningMedical Image Analysis | CodeCode Available | 1 | 5 |
| Tackling Data Heterogeneity in Federated Learning via Loss Decomposition | Aug 22, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic Algorithm | Dec 14, 2021 | Hyperparameter Optimizationimage-classification | CodeCode Available | 1 | 5 |
| CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification | Aug 8, 2023 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification | Feb 1, 2024 | AllClassification | CodeCode Available | 1 | 5 |
| BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification | Mar 3, 2022 | Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION | CodeCode Available | 1 | 5 |
| GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification | May 29, 2023 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| BiasPruner: Debiased Continual Learning for Medical Image Classification | Jul 11, 2024 | ClassificationContinual Learning | CodeCode Available | 1 | 5 |
| Big Self-Supervised Models Advance Medical Image Classification | Jan 13, 2021 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification | Dec 18, 2023 | X-ray Classification | CodeCode Available | 1 | 5 |
