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07/23/2023
Development of pericardial fat count images using a combination of three different deep-learning models
Rationale and Objectives: Pericardial fat (PF), the thoracic visceral fa...
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05/08/2023
Boosting Radiology Report Generation by Infusing Comparison Prior
Current transformer-based models achieved great success in generating ra...
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06/16/2021
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks
The integrated positron emission tomography/magnetic resonance imaging (...
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06/01/2020
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods in a small dataset
Purpose: To develop and validate computer-aided diagnosis (CXDx) system ...
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04/09/2020
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
Background and Purpose: We aimed to develop and evaluate an automatic ac...
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08/21/2019
