| Instrumental Variable Learning for Chest X-ray Classification | May 20, 2023 | ClassificationX-ray Classification | —Unverified | 0 |
| Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint | Feb 2, 2021 | ClassificationData Augmentation | —Unverified | 0 |
| Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs | Feb 6, 2023 | ClassificationMulti-Label Classification | —Unverified | 0 |
| Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification | Apr 30, 2024 | Binary ClassificationClassification | CodeCode Available | 0 |
| Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data | May 6, 2022 | Binary ClassificationFederated Learning | CodeCode Available | 0 |
| DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification | May 29, 2025 | DiagnosticMulti-Task Learning | CodeCode Available | 0 |
| From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification | Jan 17, 2023 | Federated LearningX-ray Classification | CodeCode Available | 0 |
| Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification | Mar 18, 2022 | X-ray Classification | CodeCode Available | 0 |
| Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study | Jan 18, 2024 | Data AugmentationFew-Shot Learning | CodeCode Available | 0 |
| SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification | Nov 13, 2023 | Deep LearningMulti-Label Classification | CodeCode Available | 0 |
