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Zhe Xu

Arizona State University

19 papers hereh-index 241.7k citations76 works total

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

author position
  • sole author1
  • first author10
  • middle author6
  • last author2

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • eess.SY7
  • cs.CV3
  • cs.LO2
  • eess.IV2
  • cs.AI1
  • cs.LG1
affiliations
  • Arizona State University
same name
  • Zhe Xu — 29 papers, h 28
  • Zhe Xu — 15 papers, h 2
  • Zhe Xu — 12 papers, h 9
  • Zhe Xu — 12 papers, h 14
  • Zhe Xu — 12 papers, h 5
  • Zhe Xu — 10 papers, h 4

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
20182023
most citedDistributed Robust Learning-Based Backstepping Control Aided with Neurodynamics for Consensus Formation Tracking of Underwater Vessels

26 citations · 66 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

Jinghan Sun, Dong Wei, Zhe Xu +4

Chest X-ray (CXR) anatomical abnormality detection aims at localizing and characterising cardiopulmonary radiological findings in the radiographs, which can expedite clinical workf…

cs.CV2020

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Zhe Xu, Jiangpeng Yan, Jie Luo +2

Multimodal image registration (MIR) is a fundamental procedure in many image-guided therapies. Recently, unsupervised learning-based methods have demonstrated promising performance…

cs.CV2020★ 3 cited

Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks

Zhe Xu, Jiangpeng Yan, Jie Luo +3

The loss function of an unsupervised multimodal image registration framework has two terms, i.e., a metric for similarity measure and regularization. In the deep learning era, rese…

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