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Bin Huang

11 papers hereh-index 461 citations20 works total

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

author position
  • first author5
  • middle author6

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • eess.IV6
  • cs.CV4
  • cs.LG1
same name
  • Bin Huang — 16 papers
  • Bin Huang — 6 papers, h 3
  • Bin Huang — 5 papers, h 3
  • Bin Huang — 4 papers, h 11
  • Bin Huang — 4 papers, h 2
  • Bin Huang — 4 papers, h 5

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
20242026
most citedMSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction

Xingyu Ai, Bin Huang, Fang Chen +4

Recent advances in diffusion models have demonstrated exceptional performance in generative tasks across vari-ous fields. In positron emission tomography (PET), the reduction in tr…

cs.CV2024

Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction

Bin Huang, Xubiao Liu, Lei Fang +2

Positron emission tomography (PET) is an advanced medical imaging technique that plays a crucial role in non-invasive clinical diagnosis. However, while reducing radiation exposure…

eess.IV2024

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction

Wenhao Zhang, Bin Huang, Shuyue Chen +3

Low-dose computed tomography (LDCT) plays a vital role in clinical applications by mitigating radiation risks. Nevertheless, reducing radiation doses significantly degrades image q…

eess.IV2024★ 1 cited

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction

Junyan Zhang, Mengxiao Geng, Pinhuang Tan +4

Computed Tomography (CT) technology reduces radiation haz-ards to the human body through sparse sampling, but fewer sampling angles pose challenges for image reconstruction. Score-…

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