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Tomé Albuquerque

2 papers hereh-index 6101 citations14 works total

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

author position
  • first author1
  • middle author1

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedCharacterizing the Interpretability of Attention Maps in Digital Pathology

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2025

CountPath: Automating Fragment Counting in Digital Pathology

Ana Beatriz Vieira, Maria Valente, Diana Montezuma +8

Quality control of medical images is a critical component of digital pathology, ensuring that diagnostic images meet required standards. A pre-analytical task within this process i…

eess.IV2024★ 3 cited

Characterizing the Interpretability of Attention Maps in Digital Pathology

Tomé Albuquerque, Anil Yüce, Markus D. Herrmann +1

Interpreting machine learning model decisions is crucial for high-risk applications like healthcare. In digital pathology, large whole slide images (WSIs) are decomposed into small…

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