Baisen Cong
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Department of Health, Danaher (China), Queen Elizabeth 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
- 0009-0001-4386-295X
- OpenAlex ID
- A5009197272as 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 8
A Lightweight Vision Mamba Coding UNet for medical image segmentation,
Associative learning mechanism for drug‐target interaction prediction,
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI,
Drug–target affinity prediction method based on multi-scale information interaction and graph optimization,
Drug–target affinity prediction using rotary encoding and information retention mechanisms,
Drug–target binding affinity prediction model based on multi-scale diffusion and interactive learning,
Lightweight medical image segmentation network with multi-scale feature-guided fusion,
Medical image segmentation method based on multi-feature interaction and fusion over cloud computing
← Authored by 8
A Lightweight Vision Mamba Coding UNet for medical image segmentation,
Associative learning mechanism for drug‐target interaction prediction,
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI,
Drug–target affinity prediction method based on multi-scale information interaction and graph optimization,
Drug–target affinity prediction using rotary encoding and information retention mechanisms,
Drug–target binding affinity prediction model based on multi-scale diffusion and interactive learning,
Lightweight medical image segmentation network with multi-scale feature-guided fusion,
Medical image segmentation method based on multi-feature interaction and fusion over cloud computing
Affiliated with 3
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Summary
Baisen Cong is a human[1].