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researcher

Tim Lenz

9 papers hereh-index 7250 citations26 works total

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

author position
  • first author3
  • middle author4

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • eess.IV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBenchmarking foundation models as feature extractors for weakly-supervised computational pathology

13 citations · 22 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology

Tim Lenz, Omar S. M. El Nahhas, Marta Ligero +1

Deep Learning models have been successfully utilized to extract clinically actionable insights from routinely available histology data. Generally, these models require annotations…

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