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S. Ong

1 paper hereh-index 375.9k citations231 works total

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

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CV1
same name
  • S. Ong — 20 papers
  • S. Ong — 8 papers, h 12
  • S. Ong — 1 paper
  • S. Ong — 1 paper, h 5
  • S. Ong — 1 paper
  • S. Ong — 1 paper

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

collaborators

4 papers

eess.IV2022★ 28 cited

Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images

Dong Wei, Ying Sun, Ping Chai +2

Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) Cardiac MR (CMR) images is often difficult due to the intensity heterogeneity resulting from accumulation of…

eess.IV2022★ 17 cited

A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images

Dong Wei, Ying Sun, Sim-Heng Ong +3

Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize nonviable myocardium with hyperenhanced intensities with respect to normal myocardium. For he…

eess.IV2022★ 40 cited

Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information

Dong Wei, Ying Sun, Sim-Heng Ong +3

Automatic segmentation of the left ventricle (LV) in late gadolinium enhanced (LGE) cardiac MR (CMR) images is difficult due to the intensity heterogeneity arising from accumulatio…

cs.CV2019

Human Annotations Improve GAN Performances

Juanyong Duan, Sim Heng Ong, Qi Zhao

Generative Adversarial Networks (GANs) have shown great success in many applications. In this work, we present a novel method that leverages human annotations to improve the qualit…

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