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Chao Huang

4 papers hereh-index 5198 citations12 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2
same name
  • Chao Huang — 25 papers
  • Chao Huang — 12 papers, h 30
  • Chao Huang — 9 papers
  • Chao Huang — 8 papers
  • Chao Huang — 7 papers, h 29
  • Chao Huang — 6 papers

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

most citedShape-Aware Organ Segmentation by Predicting Signed Distance Maps

13 citations · 18 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2020★ 3 cited

Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images

Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang +5

Scoliosis is a congenital disease that causes lateral curvature in the spine. Its assessment relies on the identification and localization of vertebrae in spinal X-ray images, conv…

cs.CV2020

Partly Supervised Multitask Learning

Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang +5

Semi-supervised learning has recently been attracting attention as an alternative to fully supervised models that require large pools of labeled data. Moreover, optimizing a model…

eess.IV2020★ 2 cited

Analysis of Scoliosis From Spinal X-Ray Images

Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang +5

Scoliosis is a congenital disease in which the spine is deformed from its normal shape. Measurement of scoliosis requires labeling and identification of vertebrae in the spine. Spi…

cs.CV2019★ 13 cited

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps

Yuan Xue, Hui Tang, Zhi Qiao +6

In this work, we propose to resolve the issue existing in current deep learning based organ segmentation systems that they often produce results that do not capture the overall sha…

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