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Jiawei Yang

5 papers here

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.HC1
same name
  • Jiawei Yang — 9 papers
  • Jiawei Yang — 6 papers, h 8
  • Jiawei Yang — 5 papers
  • Jiawei Yang — 4 papers
  • Jiawei Yang — 3 papers
  • Jiawei Yang — 2 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 citedOralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021

X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph

Yuan Liang, Weinan Song, Jiawei Yang +3

3D teeth reconstruction from X-ray is important for dental diagnosis and many clinical operations. However, no existing work has explored the reconstruction of teeth for a whole ca…

cs.CV2021★ 1 cited

TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation

Jiawei Yang, Yao Zhang, Yuan Liang +3

Deep learning models are notoriously data-hungry. Thus, there is an urging need for data-efficient techniques in medical image analysis, where well-annotated data are costly and ti…

cs.CV2021

Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation

Yuan Liang, Weinan Song, Jiawei Yang +3

Convolutional networks (ConvNets) have achieved promising accuracy for various anatomical segmentation tasks. Despite the success, these methods can be sensitive to data appearance…

cs.CV2020

Exploring Instance-Level Uncertainty for Medical Detection

Jiawei Yang, Yuan Liang, Yao Zhang +3

The ability of deep learning to predict with uncertainty is recognized as key for its adoption in clinical routines. Moreover, performance gain has been enabled by modelling uncert…

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