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Weihua Zhou

20 papers hereh-index 181.3k citations81 works total

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

author position
  • middle author2
  • last author11

Across the 13 of 20 papers where every author was matched, so the position is known.

fields
  • eess.IV6
  • cs.CV5
  • physics.med-ph5
  • cs.LG3
  • eess.SP1
same name
  • Weihua Zhou — 16 papers, h 5
  • Weihua Zhou — 8 papers, h 4
  • Weihua Zhou — 3 papers, h 2
  • Weihua Zhou — 3 papers, h 2
  • Weihua Zhou — 2 papers
  • Weihua Zhou — 2 papers, h 3

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
20202023
most citedSemantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images

45 citations · 186 across the 19 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023

CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data

Chen Zhao, Anqi Liu, Xiao Zhang +6

Integration of heterogeneous and high-dimensional multi-omics data is becoming increasingly important in understanding genetic data. Each omics technique only provides a limited vi…

cs.LG2022★ 1 cited

A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure

Xuewei Cao, Joyce H Keyak, Sigurdur Sigurdsson +7

Hip fracture risk assessment is an important but challenging task. Quantitative CT-based patient specific finite element analysis (FEA) computes the force (fracture load) to break…

cs.LG2022★ 7 cited

Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength

Chen Zhao, Joyce H Keyak, Xuewei Cao +10

The aim of this paper is to design a deep learning-based model to predict proximal femoral strength using multi-view information fusion. Method: We developed new models using multi…

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