Menglin Wu
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Nanjing Tech University, Nanjing University of Science and Technology, The Medical Device (United Kingdom), Nano Carbon (Poland)as 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
- 0000-0001-6392-0478
- OpenAlex ID
- A5020031925as 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 15
Automated segmentation of optic disc in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal opening detection,
Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging,
Dermoscopy Image Classification Based on StyleGAN and DenseNet201,
Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images,
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging,
Improved Position Estimation Method for SRM Considering Current Measurement Errors,
Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT,
Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach
+7 more
← Authored by 15
Automated segmentation of optic disc in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal opening detection,
Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging,
Dermoscopy Image Classification Based on StyleGAN and DenseNet201,
Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images,
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging,
Improved Position Estimation Method for SRM Considering Current Measurement Errors,
Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT,
Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach
+7 more
Affiliated with 3
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Summary
Menglin Wu is a human[1].