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Jong Chul Ye

3 papers here

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

author position
  • last author3

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

fields
  • cs.CV3
ORCID 0000-0001-9763-9609
same name
  • Jong Chul Ye — 19 papers, h 11
  • Jong Chul Ye — 16 papers, h 6
  • Jong Chul Ye — 14 papers, h 4
  • Jong Chul Ye — 13 papers, h 7
  • Jong Chul Ye — 6 papers, h 1
  • Jong Chul Ye — 6 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
20182024
most citedk-Space Deep Learning for Accelerated MRI

17 citations · 33 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

Junhyeok Lee, Yujin Oh, Dahyoun Lee +9

Acute ischemic stroke (AIS) requires time-critical decision-making, where inaccurate interpretation of neuroimaging findings can lead to irreversible disability. Diffusion-weighted…

cs.CV2019★ 16 cited

Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems

Byeongsu Sim, Gyutaek Oh, Jeongsol Kim +2

To improve the performance of classical generative adversarial network (GAN), Wasserstein generative adversarial networks (W-GAN) was developed as a Kantorovich dual formulation of…

cs.CV2018★ 17 cited

k-Space Deep Learning for Accelerated MRI

Yoseob Han, Leonard Sunwoo, Jong Chul Ye

The annihilating filter-based low-rank Hankel matrix approach (ALOHA) is one of the state-of-the-art compressed sensing approaches that directly interpolates the missing k-space da…

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