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09/15/2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development
We developed a rich dataset of Chest X-Ray (CXR) images to assist invest...
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08/04/2020
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Chest radiography is the most common medical image examination for scree...
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08/02/2020
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
Deep learning has now become the de facto approach to the recognition of...
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07/27/2020
Chest X-ray Report Generation through Fine-Grained Label Learning
Obtaining automated preliminary read reports for common exams such as ch...
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05/03/2020
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification
Automated diagnostic assistants in healthcare necessitate accurate AI mo...
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06/21/2019
Boosting the rule-out accuracy of deep disease detection using class weight modifiers
In many screening applications, the primary goal of a radiologist or ass...
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06/21/2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays
Chest X-rays are the most common diagnostic exams in emergency rooms and...
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03/09/2019
Age prediction using a large chest X-ray dataset
Age prediction based on appearances of different anatomies in medical im...
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05/07/2018