Zhongshi He
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Beijing Institute of Technology, Hubei University of Medicine, Chongqing University, China Geological Survey, Hubei University of Arts and Science, Henan Institute of Geological Survey, Xiang Yang No.1 People's Hospitalas 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
- 0009-0007-3682-0464
- OpenAlex ID
- A5100676074as 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 22
3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads,
3D dense convolutional neural network for fast and accurate single MR image super-resolution,
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network,
A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies,
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution,
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images,
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans,
An improved reference point based multi-objective optimization by decomposition
+14 more
← Authored by 22
3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads,
3D dense convolutional neural network for fast and accurate single MR image super-resolution,
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network,
A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies,
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution,
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images,
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans,
An improved reference point based multi-objective optimization by decomposition
+14 more
Affiliated with 1
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Summary
Zhongshi He is a human[1].