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Agnieszka Sroka-Oleksiak

3 papers hereh-index 14810 citations37 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedDeep learning approach to description and classification of fungi microscopic images

121 citations · 241 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2025

AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients

Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk +10

Sepsis is a life-threatening condition which requires rapid diagnosis and treatment. Traditional microbiological methods are time-consuming and expensive. In response to these chal…

cs.CV2020★ 120 cited

Deep learning approach to describe and classify fungi microscopic images

Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk +2

Preliminary diagnosis of fungal infections can rely on microscopic examination. However, in many cases, it does not allow unambiguous identification of the species by microbiologis…

cs.CV2019★ 121 cited

Deep learning approach to description and classification of fungi microscopic images

Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk +2

Diagnosis of fungal infections can rely on microscopic examination, however, in many cases, it does not allow unambiguous identification of the species due to their visual similari…

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