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2025
Mark A Deep Learning Pipeline for Genome-Wide Imaging Screen Uncovering Cell Death Regulators
Kazemi Rashed, Salma ^LU ; Esbo, Klara ; Miari, Mariam ^LU ; Arvidsson, Malou and Aits, Sonja ^LU (2025) 2024 International Conference on Bioinformatics and Biomedicine (BIBM) p.7123-7123
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Mapping disease-environment connections reported in scientific literature at scale with EasyNER
Aasa, Carl ; Boyd, Emily ^LU and Aits, Sonja ^LU (2025) EurIPS 2025
- Contribution to conference › Paper, not in proceeding
2024
Mark An annotated high-content fluorescence microscopy dataset with 2 EGFP-Galectin-3-stained cells and manually labelled outlines
Kazemi Rashed, Salma ^LU ; Arvidsson, Malou ; Ahmed, Rafsan ^LU and Aits, Sonja ^LU (2024)
- Working paper/Preprint › Preprint in preprint archive
Mark EasyNER: A Customizable and Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text [Software]
Ahmed, Rafsan ^LU ; Aits, Sonja ^LU ; Kazemi Rashed, Salma ^LU ; Nugues, Pierre ^LU ; Lamarca, Antton ^LU ; Berntsson, Peter ; Skafte, Alexander ; Klang, Marcus ^LU ; Olde, Ola and Barvesten, Adam , et al. (2024)
- Non-textual form › Software

your query:: Remove project: Revealing drivers of cell death disruption across species and theri links to biodiversity loss and human disease