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X-ray Classification

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TitleStatusHype
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference—0
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray ClassificationCode0
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification—0
MedCAM-OsteoCls: Medical Context Aware Multimodal Classification of Knee OsteoarthritisCode0
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning—0
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based SelectionCode0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics—0
Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods—0
RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification—0
Tackling Data Heterogeneity in Federated Learning via Loss DecompositionCode1
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population—0
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning—0
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray ClassificationCode0
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities—0
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
Human Expertise in Algorithmic PredictionCode0
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain StudyCode0
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray ClassificationCode1
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray ClassificationCode0
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification—0
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning—0
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays ClassificationCode0
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
Unlearning Spurious Correlations in Chest X-ray Classification—0
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