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Dinggang Shen

researcher
Person human Q66730599

Facts

6 properties
Instance of
human
Sex or gender
male[8]
Occupation
university teacher, scientist, radiologist
Field of work
medical imaging, biomedical engineering, radiology, neuroscience[4][5][6][7]
Languages spoken, written or signed
English[9]
Imported from
wholeness_audit_2026-05-02
🏷️ Also known as
en Dinggang S. en Dinggang Shen en D. Shen fa شن، دینگگانگ
🔖 Identifiers · 12
ORCID iD
0000-0002-7934-5698
VIAF cluster ID
175325154
Library of Congress authority ID
nb2013001325
OpenAlex ID
A5000937401, A5046424244, A5067576003, A5100889605, A5111333964, A5121002658, A5121462864, A5122488929, A5123169887, A5123171579, A5123188406, A5123262284, A5123453519, A5123455041, A5123478928, A5124873031, A5124910383, A5125508755, A5125599415, A5126937730, A5128290849, A5128724071, A5128735636, A5133029519as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DBLP author ID
14/4383
Google Scholar author ID
v6VYQC8AAAAJ
IEEE Xplore author ID
37085356665
IdRef ID
252345754
NL CR AUT ID
ntk2017971703
NLAI ID
1677662
National Library of Israel J9U ID
987007315852905171
Yale LUX ID
person/0d1320c8-43b8-4070-85f4-98a98f927a64

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 534
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis, 3D conditional generative adversarial networks for high-quality PET image estimation at low dose, 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients, 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation, 3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-Quality Medical Image Generation, 3D multi-modality Transformer-GAN for high-quality PET reconstruction, 3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising, 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation +526 more
← Authored by 534
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis, 3D conditional generative adversarial networks for high-quality PET image estimation at low dose, 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients, 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation, 3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-Quality Medical Image Generation, 3D multi-modality Transformer-GAN for high-quality PET reconstruction, 3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising, 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation +526 more
Affiliated with 18
University of North Carolina at Chapel Hill, Korea University, University of Oklahoma, Xi'an Jiaotong University, Sogang University, Nanjing University of Aeronautics and Astronautics, Northwestern Polytechnical University, ShanghaiTech University +10 more
Press Enter · cited answer in seconds

Summary

Dinggang Shen worked as a university teacher[1], scientist[2], and radiologist[3].

Body

Career and Affiliations

Fields of work include medical imaging[4], a medical test type[10]; biomedical engineering[5], an academic discipline[11]; radiology[6], a medical specialty[12]; and neuroscience[7], an academic discipline[13].

FAQs

What did Dinggang Shen do for work?

Dinggang Shen worked as university teacher[1], scientist[2], and radiologist[3].

Related Entities

Minjiang University Nanjing University of Aeronautics and Astronautics Northwestern Polytechnical University Shanghai Business School ShanghaiTech University University of Oklahoma Xi'an Jiaotong University

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [8] ↑ . Virtual International Authority File. wikidata.org.
  2. [4] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  3. [5] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  4. [6] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  5. [7] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  6. [1] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  7. [2] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  8. [3] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  9. [9] ↑ . Czech National Authority Database. Retrieved . wikidata.org.

Inline context (facts about related entities)

  1. [10] ↑ . Wikidata. wikidata.org. → on this site
  2. [11] ↑ . Wikidata. wikidata.org. → on this site
  3. [12] ↑ . Wikidata. wikidata.org. → on this site
  4. [13] ↑ . Wikidata. wikidata.org. → on this site

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Dinggang Shen. Retrieved October 25, 2026, from https://4ort.xyz/entity/dinggang-shen
MLA “Dinggang Shen.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/dinggang-shen.
BibTeX @misc{4ortxyz_dinggang-shen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dinggang Shen}}, year = {2026}, url = {https://4ort.xyz/entity/dinggang-shen}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dinggang Shen — https://4ort.xyz/entity/dinggang-shen (retrieved 2026-10-25)

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