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researcher

Yawen Wu

22 papers hereh-index 12758 citations37 works total

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

author position
  • first author9
  • middle author12

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG7
  • eess.IV4
  • eess.SP1
same name
  • Yawen Wu — 3 papers, h 3
  • Yawen Wu — 2 papers, h 19
  • Yawen Wu — 1 paper, h 3
  • Yawen Wu — 1 paper, h 5
  • Yawen Wu — 1 paper, h 0

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
20192025
most citedFederated Contrastive Learning for Volumetric Medical Image Segmentation

56 citations · 123 across the 22 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2024

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective

Zixuan Pan, Jun Xia, Zheyu Yan +7

Reconstruction-based methods, particularly those leveraging autoencoders, have been widely adopted for anomaly detection task in brain MRI. Unlike most existing works try to improv…

eess.IV2022

Distributed Contrastive Learning for Medical Image Segmentation

Yawen Wu, Dewen Zeng, Zhepeng Wang +2

Supervised deep learning needs a large amount of labeled data to achieve high performance. However, in medical imaging analysis, each site may only have a limited amount of data an…

eess.IV2022★ 56 cited

Federated Contrastive Learning for Volumetric Medical Image Segmentation

Yawen Wu, Dewen Zeng, Zhepeng Wang +2

Supervised deep learning needs a large amount of labeled data to achieve high performance. However, in medical imaging analysis, each site may only have a limited amount of data an…

eess.IV2022

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Yawen Wu, Dewen Zeng, Xiaowei Xu +2

Many works have shown that deep learning-based medical image classification models can exhibit bias toward certain demographic attributes like race, gender, and age. Existing bias…

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