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researcher

M. Hägele

5 papers hereh-index 4575 citations16 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
  • math.PR1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedResolving challenges in deep learning-based analyses of histopathological images using explanation methods

167 citations · 220 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

eess.IV2019★ 167 cited

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin +5

Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better unde…

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