🫁 Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
Securing Collaborative Medical AI by Using Differential Privacy
Comparative analysis of 19 Deep Learning architectures (13 SOTA + 6 Proposed) for thoracic disease classification on VinDr-CXR and VinDr-PCXR datasets.
Comprehensive Analysis of Domain Transferability Using Deep-Learning-Based Interpretation of Chest Radiographs
Boosting multi-demographic federated learning for chest X-ray diagnosis using general-purpose self-supervised representations
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis
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