Hongming Shan
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Fudan University, Shanghai Center for Brain Science and Brain-Inspired Technology, Institute of Science and Technology, TUas 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
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-0604-3197
- OpenAlex ID
- A5049086157, A5140666640as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 60
Accelerated Correction of Reflection Artifacts by Deep Neural Networks in Photo-Acoustic Tomography,
A dual-stream deep convolutional network for reducing metal streak artifacts in CT images,
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows,
A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing,
An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT,
A novel transfer learning framework for low-dose CT,
A two‐dimensional feasibility study of deep learning‐based feature detection and characterization directly from CT sinograms,
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
+52 more
← Authored by 60
Accelerated Correction of Reflection Artifacts by Deep Neural Networks in Photo-Acoustic Tomography,
A dual-stream deep convolutional network for reducing metal streak artifacts in CT images,
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows,
A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing,
An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT,
A novel transfer learning framework for low-dose CT,
A two‐dimensional feasibility study of deep learning‐based feature detection and characterization directly from CT sinograms,
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
+52 more
Press Enter · cited answer in seconds
0 sources
Summary
Hongming Shan is a human[1].