Debiao Li

Magnetic Resonance in Medicine · 2004–2018

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Debiao Li's perspective

Ordered by how strongly the researchers Debiao Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
2. Densely Connected Convolutional Networks
3. Improved Training of Wasserstein GANs
4. Wasserstein GAN
5. Image quality assessment: from error visibility to structural similarity
6. Super-resolution from a single image
7. Deep learning and the information bottleneck principle
8. Image Super-Resolution Using Deep Convolutional Networks
9. Sparse MRI: The application of compressed sensing for rapid MR imaging
10. Accelerating the Super-Resolution Convolutional Neural Network

Their papers

• Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging (2018) — 324 citations
• Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network (2018) — 351 citations
• Self‐gated cardiac cine MRI (2004) — 451 citations