Shifting machine learning for healthcare from development to deployment and from models to data
A Zhang, L ** generative adversarial networks for brain MR to PET synthesis
Fusing multi-modality medical images, such as magnetic resonance (MR) imaging and
positron emission tomography (PET), can provide various anatomical and functional …
positron emission tomography (PET), can provide various anatomical and functional …
Tensorizing GAN with high-order pooling for Alzheimer's disease assessment
It is of great significance to apply deep learning for the early diagnosis of Alzheimer's
disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to …
disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to …
DeepHarmony: A deep learning approach to contrast harmonization across scanner changes
Magnetic resonance imaging (MRI) is a flexible medical imaging modality that often lacks
reproducibility between protocols and scanners. It has been shown that even when care is …
reproducibility between protocols and scanners. It has been shown that even when care is …
A survey on deep learning for neuroimaging-based brain disorder analysis
Deep learning has recently been used for the analysis of neuroimages, such as structural
magnetic resonance imaging (MRI), functional MRI, and positron emission tomography …
magnetic resonance imaging (MRI), functional MRI, and positron emission tomography …