Jiaming Qian
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Nanjing University of Science and Technologyas 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
- 0000-0002-9110-4950
- OpenAlex ID
- A5068105201as 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 21
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches,
Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement,
Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection,
Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement,
Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera,
Dual-source dual-energy CT angiography with virtual non-enhanced images and iodine map for active gastrointestinal bleeding: Image quality, radiation dose and diagnostic performance,
Ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM),
Fast-Structured Illumination Microscopy Based on Dichotomy–Correlation Parameter Estimation (dCOR-SIM)
+13 more
← Authored by 21
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches,
Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement,
Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection,
Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement,
Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera,
Dual-source dual-energy CT angiography with virtual non-enhanced images and iodine map for active gastrointestinal bleeding: Image quality, radiation dose and diagnostic performance,
Ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM),
Fast-Structured Illumination Microscopy Based on Dichotomy–Correlation Parameter Estimation (dCOR-SIM)
+13 more
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Summary
Jiaming Qian is a human[1].