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researcher

Maximilian Frantzen

2 papers hereh-index 211 citations3 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 citedAdaptive Personlization in Federated Learning for Highly Non-i.i.d. Data

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

collaborators

2 papers

cs.CV2025

DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Yousef Yeganeh, Maximilian Frantzen, Michael Lee +3

While Whole Slide Imaging (WSI) scanners remain the gold standard for digitizing pathology samples, their high cost limits accessibility in many healthcare settings. Other low-cost…

cs.LG2022★ 1 cited

Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data

Yousef Yeganeh, Azade Farshad, Johann Boschmann +3

Federated learning (FL) is a distributed learning method that offers medical institutes the prospect of collaboration in a global model while preserving the privacy of their patien…

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