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researcher

Tereza Kopřivová

2 papers here

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

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.IV1
ORCID 0000-0003-3820-2647

identity via Semantic Scholar / OpenAlex

most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 406 across the 2 of their papers we have counts for

collaborators

2 papers

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…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

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