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researcher

Edwin D. de Jong

3 papers here

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

author position
  • sole author1
  • first author1
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
ORCID 0000-0001-6491-1848

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedTowards Large-Scale Training of Pathology Foundation Models

10 citations · 26 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025★ 7 cited

Current Pathology Foundation Models are unrobust to Medical Center Differences

Edwin D. de Jong, Eric Marcus, Jonas Teuwen

Pathology Foundation Models (FMs) hold great promise for healthcare. Before they can be used in clinical practice, it is essential to ensure they are robust to variations between m…

cs.CV2024★ 10 cited

Towards Large-Scale Training of Pathology Foundation Models

kaiko. ai, Nanne Aben, Edwin D. de Jong +7

Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have bee…

cs.LG2016★ 9 cited

Incremental Sequence Learning

Edwin D. de Jong

Deep learning research over the past years has shown that by increasing the scope or difficulty of the learning problem over time, increasingly complex learning problems can be add…

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