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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
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification—0
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray ClassificationCode0
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
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
Higher Chest X-ray Resolution Improves Classification Performance—0
WindowNet: Learnable Windows for Chest X-ray Classification—0
German CheXpert Chest X-ray Radiology Report Labeler—0
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
Instrumental Variable Learning for Chest X-ray Classification—0
Explainable Knowledge Distillation for On-device Chest X-Ray Classification—0
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs—0
From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray ClassificationCode0
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices—0
Multi-Label Chest X-Ray Classification via Deep LearningCode0
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention MechanismCode0
Improving Chest X-Ray Classification by RNN-based Patient Monitoring—0
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification—0
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification—0
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classificationCode0
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical ImagingCode1
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray DataCode0
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model—0
Pseudo Bias-Balanced Learning for Debiased Chest X-ray ClassificationCode0
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray ClassificationCode1
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification—0
Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic AlgorithmCode1
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data—0
Multi-loss ensemble deep learning for chest X-ray classification—0
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