Adriana Borowa

University of Agriculture in Krakow — Poland

Biochemistry, Genetics and Molecular Biology · Life Sciences

5h-index206citations14works2.52yr avg
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Research Topics

Cell Image Analysis Techniques(11), Image Processing Techniques and Applications(5), Single-cell and spatial transcriptomics(4), AI in cancer detection(3), Digital Imaging for Blood Diseases(3)

Publications14 total

AI-driven rapid identification of bacterial and fungal pathogens in blood smears of septic patients
Computers in Biology and Medicine·2025· 1 citedOpen Access
Morphological map of under- and overexpression of genes in human cells
Nature Methods·2025· 6 citedOpen Access
AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients
arXiv (Cornell University)·2025Open Access
Morphological map of under- and over-expression of genes in human cells
2024· 5 citedOpen Access
Corrigendum to “Decoding phenotypic screening: A comparative analysis of image representations” [Computat Struct Biotechnol J 23 (2024) 1181-1188]
Computational and Structural Biotechnology Journal·2024Open Access
Decoding phenotypic screening: A comparative analysis of image representations
Computational and Structural Biotechnology Journal·2024· 3 citedOpen Access
Deep Learning Models Capture Histological Disease Activity in Crohn’s Disease and Ulcerative Colitis with High Fidelity
Journal of Crohn s and Colitis·2023· 37 citedOpen Access
JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations
2023· 94 citedOpen Access
Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning
IEEE Journal of Biomedical and Health Informatics·2022· 7 citedOpen Access
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images
Studies in health technology and informatics·2022Open Access
Weakly-Supervised Cell Classification for Effective High Content Screening
Lecture notes in computer science·2022· 4 citedOpen Access
Deep learning classification of bacteria clones explained by persistence homology
2021· 4 cited
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning
2021· 42 cited
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology
arXiv (Cornell University)·2020· 2 citedOpen Access

Frequent Co-authors

Dawid Rymarczyk(10), Bartosz Zieliński(9), Krzysztof Rataj(5), Dorota Ochońska(5), Monika Brzychczy‐Włoch(5), Tomasz Krawiec(4), Jacek Tabor(4), Srinivas Niranj Chandrasekaran(3), Eric Alix(3), John Arévalo(3), Patrick J. Byrne(3), Beth A. Cimini(3), John G. Doench(3), Briana Fritchman(3), Amy Goodale(3), Yu Han(3), Desiree Hernandez(3), Christina Gros(3), Maria Kost‐Alimova(3), Brittany A. Marion(3)