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Found 3 papers, 1 papers with code
Development of pericardial fat count images using a combination of three different deep-learning models
A single CycleGAN-based model was used to generate PFCIs from CXRs for comparison with the proposed method.
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks
The integrated positron emission tomography/magnetic resonance imaging (PET/MRI) scanner facilitates the simultaneous acquisition of metabolic information via PET and morphological information with high soft-tissue contrast using MRI.
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods
Purpose: This study aimed to develop and validate computer-aided diagnosis (CXDx) system for classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray (CXR) images.
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