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Dong Yang

3 papers hereh-index 6266 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1
same name
  • Dong Yang — 41 papers, h 32
  • Dong Yang — 21 papers, h 11
  • Dong Yang — 16 papers, h 7
  • Dong Yang — 11 papers, h 66
  • Dong Yang — 9 papers, h 5
  • Dong Yang — 9 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedFederated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan

11 citations · 14 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

NV-Generate-Body: 3D Latent Diffusion Model forControllable Anatomy, Tumor, and Demographic Body Mask Synthesis

Can Zhao, Pengfei Guo, Dong Yang +8

Curating large labeled CT datasets is expensive and constrained by patient privacy. We present NV-Generate-BodyMask, a 3D latent diffusion model that synthesizes whole-body CT segm…

eess.IV2024★ 3 cited

MAISI: Medical AI for Synthetic Imaging

Pengfei Guo, Can Zhao, Dong Yang +8

Medical imaging analysis faces challenges such as data scarcity, high annotation costs, and privacy concerns. This paper introduces the Medical AI for Synthetic Imaging (MAISI), an…

eess.IV2020★ 11 cited

Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan

Dong Yang, Ziyue Xu, Wenqi Li +17

The recent outbreak of COVID-19 has led to urgent needs for reliable diagnosis and management of SARS-CoV-2 infection. As a complimentary tool, chest CT has been shown to be able t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.