chest x-ray

Automated Generation of Accurate & Fluent Medical X-ray Reports EMNLP 2021 CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays MLHC 2021 CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation MIDL 2021 Explainable Image Quality Analysis of Chest X-Rays MIDL 2021 Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis NeurIPS 2021 Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021 MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021 MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models MIDL 2021 Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays MIDL 2021 Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation EMNLP 2021 CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020 Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT EMNLP 2020 Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information ACL 2020 Learning to Generate Clinically Coherent Chest X-Ray Reports EMNLP 2020 Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020 On the diminishing return of labeling clinical reports EMNLP 2020 Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays MIDL 2020 Rethinking Computer-Aided Tuberculosis Diagnosis CVPR 2020 Towards Visual Dialog for Radiology ACL 2020 Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision ICCV 2019 Clinically Accurate Chest X-Ray Report Generation MLHC 2019 Deep Hierarchical Multi-label Classification of Chest X-ray Images MIDL 2019 Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports ACL 2019 XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation MIDL 2019