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researcher

F. Sprenger

2 papers hereh-index 5388 citations21 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
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 400 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 10 cited

Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection

Matheus A. Cerqueira, Flávia Sprenger, Bernardo C. A. Teixeira +1

Brain tumor image segmentation is a challenging research topic in which deep-learning models have presented the best results. However, the traditional way of training those models…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

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