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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 describe and classify fungi microscopic images

120 citations · 120 across the 2 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

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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