| Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism | Nov 15, 2022 | X-ray Classification | CodeCode Available | 0 |
| Improving Chest X-Ray Classification by RNN-based Patient Monitoring | Oct 28, 2022 | Decision Makingimage-classification | —Unverified | 0 |
| Probabilistic Integration of Object Level Annotations in Chest X-ray Classification | Oct 13, 2022 | Knowledge DistillationVariational Inference | —Unverified | 0 |
| Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification | Sep 5, 2022 | Active LearningDiagnostic | —Unverified | 0 |
| A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification | Aug 1, 2022 | ClassificationMulti-Label Classification | 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 |
| Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model | Apr 22, 2022 | Binary ClassificationFederated Learning | —Unverified | 0 |
| Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification | Mar 18, 2022 | X-ray Classification | CodeCode Available | 0 |
| Hyperparameter Optimization for COVID-19 Chest X-Ray Classification | Jan 26, 2022 | Binary ClassificationClassification | —Unverified | 0 |
| Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data | Dec 2, 2021 | Medical Image AnalysisTumor Segmentation | —Unverified | 0 |
