Yingzi Liu
Researcher / author (OpenAlex)
Facts
1 property
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-1613-900X
- OpenAlex ID
- A5103078850as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
4D-CT deformable image registration using multiscale unsupervised deep learning,
Automatic inverse treatment planning of Gamma Knife radiosurgery via deep reinforcement learning,
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution,
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN,
CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy,
CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network,
Deep attentional GAN-based high-resolution ultrasound imaging,
Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy
+9 more
← Authored by 17
4D-CT deformable image registration using multiscale unsupervised deep learning,
Automatic inverse treatment planning of Gamma Knife radiosurgery via deep reinforcement learning,
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution,
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN,
CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy,
CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network,
Deep attentional GAN-based high-resolution ultrasound imaging,
Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy
+9 more
Affiliated with 4
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Summary
Yingzi Liu is a human[1].