conftrace_

chest x-ray

118 papers

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Also known as

CXR

Co-occurring keywords

medical imaging (971) multimodal learning (4645) radiology report generation (79) radiology report (84) report generation (55) medical report generation (52) contrastive learning (4032) vision-language model (2348) multi-modal learning (1278) medical image analysis (90)

Papers

Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis IJCAI 2023
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models MLHC 2023
TIER: Text-Image Entropy Regularization for Medical CLIP-style models MLHC 2023
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation MIDL 2023
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation MIDL 2023
Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations IJCNLP 2022
X-MIR: EXplainable Medical Image Retrieval WACV 2022
RRED : A Radiology Report Error Detector based on Deep Learning Framework NAACL 2022
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification NIPS 2022
Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations AACL 2022
PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization MIDL 2022
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images MLHC 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards EMNLP 2022
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis COLING 2022
Explainable Image Quality Analysis of Chest X-Rays MIDL 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation MIDL 2021
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models MIDL 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays MIDL 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021
Automated Generation of Accurate & Fluent Medical X-ray Reports EMNLP 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays MLHC 2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation EMNLP 2021