23 citations · 32 across the 5 of their papers we have counts for
5 papers
Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis via Frequency Information Embedding
Mengyu Sun, Ziyuan Yang, Maosong Ran +3
In the fast-evolving field of medical image analysis, Deep Learning (DL)-based methods have achieved tremendous success. However, these methods require plaintext data for training…
Privacy-Preserving Encrypted Low-Dose CT Denoising
Ziyuan Yang, Huijie Huangfu, Maosong Ran +3
Deep learning (DL) has made significant advancements in tomographic imaging, particularly in low-dose computed tomography (LDCT) denoising. A recent trend involves servers training…
Robust Split Federated Learning for U-shaped Medical Image Networks
Ziyuan Yang, Yingyu Chen, Huijie Huangfu +4
U-shaped networks are widely used in various medical image tasks, such as segmentation, restoration and reconstruction, but most of them usually rely on centralized learning and th…
MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI
Maosong Ran, Wenjun Xia, Yongqiang Huang +6
Compressed sensing magnetic resonance imaging (CS-MRI) is a theoretical framework that can accurately reconstruct images from undersampled k-space data with a much lower sampling r…
Asymptotic dynamic for dipolar Quantum Gases below the ground state energy threshold
Jacopo Bellazzini, Luigi Forcella
We consider the Gross-Pitaevskii equation describing a dipolar Bose-Einstein condensate without external confinement. We first consider the unstable regime, where the nonlocal nonl…