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Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Fast and accurate reconstruction of magnetic resonance (MR) images from ...
03/03/2021 ∙ by Pengfei Guo, et al. ∙
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Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas
Data-driven automatic approaches have demonstrated their great potential...
08/06/2020 ∙ by Pengfei Guo, et al. ∙
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Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN
Data-driven automatic approaches have demonstrated their great potential...
06/26/2020 ∙ by Pengfei Guo, et al. ∙
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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Automatic segmentation of anatomical landmarks from ultrasound (US) play...
12/18/2019 ∙ by Jeya Maria Jose V., et al. ∙
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Pyramid Convolutional RNN for MRI Reconstruction
Fast and accurate MRI image reconstruction from undersampled data is cri...
12/02/2019 ∙ by Puyang Wang, et al. ∙
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Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN
Various imaging artifacts, low signal-to-noise ratio, and bone surfaces ...
06/26/2018 ∙ by Puyang Wang, et al. ∙
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Generating High Quality Visible Images from SAR Images Using CNNs
We propose a novel approach for generating high quality visible-like ima...
02/27/2018 ∙ by Puyang Wang, et al. ∙
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SAR Image Despeckling Using a Convolutional
Synthetic Aperture Radar (SAR) images are often contaminated by a multip...
06/02/2017 ∙ by Puyang Wang, et al. ∙
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