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Xiaofei Wang

9 papers hereh-index 435 citations15 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV4
same name
  • Xiaofei Wang — 37 papers, h 21
  • Xiaofei Wang — 16 papers, h 8
  • Xiaofei Wang — 11 papers, h 8
  • Xiaofei Wang — 10 papers, h 39
  • Xiaofei Wang — 8 papers, h 5
  • Xiaofei Wang — 7 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

most citedCross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

C3-Diff: Super-resolving Spatial Transcriptomics via Cross-modal Cross-content Contrastive Diffusion Modelling

Xiaofei Wang, Stephen Price, Chao Li

The rapid advancement of spatial transcriptomics (ST), i.e., spatial gene expressions, has made it possible to measure gene expression within original tissue, enabling us to discov…

cs.CV2025

Joint Modelling Histology and Molecular Markers for Cancer Classification

Xiaofei Wang, Hanyu Liu, Yupei Zhang +6

Cancers are characterized by remarkable heterogeneity and diverse prognosis. Accurate cancer classification is essential for patient stratification and clinical decision-making. Al…

cs.CV2024

Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology

Huahui Yi, Xiaofei Wang, Kang Li +1

Multimodal learning, integrating histology images and genomics, promises to enhance precision oncology with comprehensive views at microscopic and molecular levels. However, existi…

cs.CV2024

Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation

Hao Chen, Hongrun Zhang, U Wang Chan +3

Single domain generalization aims to address the challenge of out-of-distribution generalization problem with only one source domain available. Feature distanglement is a classic s…

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