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researcher

Fangfang Liu

2 papers hereh-index 5116 citations13 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
same name
  • Fangfang Liu — 4 papers, h 2
  • Fangfang Liu — 3 papers, h 7
  • Fangfang Liu — 2 papers, h 8
  • Fangfang Liu — 2 papers, h 3
  • Fangfang Liu — 1 paper
  • Fangfang Liu — 1 paper, h 2

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 citedDeep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology

Xiaojing Guo, Jiatai Lin, Yumian Jia +39

Generalist pathology foundation models (PFMs), pretrained on large-scale multi-organ datasets, have demonstrated remarkable predictive capabilities across diverse clinical applicat…

eess.IV2022★ 1 cited

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation

Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese +8

Although the U-Net architecture has been extensively used for segmentation of medical images, we address two of its shortcomings in this work. Firstly, the accuracy of vanilla U-Ne…

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