András Kriston

Deep Visual Proteomics defines single-cell identity and heterogeneity

Andreas Mund, Fabian Coscia, András Kriston et al. · Nature Biotechnology · 2022 · 538 citations · Full text

Life Sciences, Cell Biology, Molecular Biology +17

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Réka Hollandi, Ábel Szkalisity, Tímea Tóth et al. · Cell Systems · 2020 · 278 citations · Full text

Computing, Cell Biology, Computer Science +9

A deep learning framework for nucleus segmentation using image style transfer

Réka Hollandi, Ábel Szkalisity, Tímea Tóth et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2019 · 49 citations · Full text

Computing, Cell Biology, Computer Science +11

AI-driven Deep Visual Proteomics defines cell identity and heterogeneity

Andreas Mund, Fabian Coscia, Réka Hollandi et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2021 · 48 citations · Full text

Life Sciences, Cell Biology, Molecular Biology +17

SpheroidPicker for automated 3D cell culture manipulation using deep learning

István Grexa, Ákos Diósdi, Mária Harmati et al. · Scientific Reports · 2021 · 45 citations · Full text

Engineering, Bioengineering, Biomedical Engineering +17