| METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease T Alexandrov, K Ovchinnikova, A Palmer, V Kovalev, A Tarasov, L Stuart, ... BioRxiv, 539478, 2019 | 61 | 2019 |
| OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images K Ovchinnikova, V Kovalev, L Stuart, T Alexandrov BMC bioinformatics 21, 1-11, 2020 | 38 | 2020 |
| ColocML: machine learning quantifies co-localization between mass spectrometry images K Ovchinnikova, L Stuart, A Rakhlin, S Nikolenko, T Alexandrov Bioinformatics 36 (10), 3215-3224, 2020 | 38 | 2020 |
| Primula: A practical shuffle/sort operator for serverless computing M Sánchez-Artigas, GT Eizaguirre, G Vernik, L Stuart, P García-López Proceedings of the 21st International Middleware Conference Industrial Track …, 2020 | 23 | 2020 |
| Origami simulator: a multi-touch experience SHH Chang, L Stuart, B Plimmer, B Wünsche CHI'09 Extended Abstracts on Human Factors in Computing Systems, 3889-3894, 2009 | 18 | 2009 |
| Adaptive pixel mass recalibration for mass spectrometry imaging based on locally endogenous biological signals R La Rocca, C Kune, M Tiquet, L Stuart, G Eppe, T Alexandrov, ... Analytical chemistry 93 (8), 4066-4074, 2021 | 17 | 2021 |
| Facilitating imaging mass spectrometry of microbial specialized metabolites with METASPACE DD Nguyen, V Saharuka, V Kovalev, L Stuart, M Del Prete, K Lubowiecka, ... Metabolites 11 (8), 477, 2021 | 12 | 2021 |
| Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer E Buglakova, M Ekelöf, M Schwaiger-Haber, L Schlicker, MR Molenaar, ... Nature Metabolism 6 (9), 1695-1711, 2024 | 8 | 2024 |
| Rapid and automatic annotation of multiple on-tissue chemical modifications in mass spectrometry imaging with metaspace EA Larson, TT Forsman, L Stuart, T Alexandrov, YJ Lee Analytical Chemistry 94 (25), 8983-8991, 2022 | 8 | 2022 |
| METASPACE-ML: Metabolite annotation for imaging mass spectrometry using machine learning B Wadie, L Stuart, CM Rath, B Drotleff, S Mamedov, T Alexandrov biorxiv, 2023.05. 29.542736, 2023 | 6 | 2023 |
| Recognizing off-sample mass spectrometry images with machine and deep learning K Ovchinnikova, V Kovalev, L Stuart, T Alexandrov BioRxiv, 518977, 2019 | 5 | 2019 |
| METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease. bioRxiv 539478 T Alexandrov, K Ovchinnikova, A Palmer, V Kovalev, A Tarasov, L Stuart, ... | 5 | 2019 |
| METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learning B Wadie, L Stuart, CM Rath, B Drotleff, S Mamedov, T Alexandrov Nature Communications 15 (1), 9110, 2024 | 2 | 2024 |
| Large-Scale Evaluation of Spatial Metabolomics Protocols and Technologies V Saharuka, LM Vieira, L Stuart, M Ekelöf, MR Molenaar, A Bailoni, ... bioRxiv, 2024.01. 29.577354, 2024 | 2 | 2024 |
| ColocAI: artificial intelligence approach to quantify co-localization between mass spectrometry images K Ovchinnikova, A Rakhlin, L Stuart, S Nikolenko, T Alexandrov BioRxiv, 758425, 2019 | 2 | 2019 |
| 13C-SpaceM: Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer E Buglakova, M Ekelöf, M Schwaiger-Haber, L Schlicker, MR Molenaar, ... bioRxiv, 2023.08. 18.553810, 2024 | 1 | 2024 |
| Multi-megabase scale genome interpretation with genetic language models F Träuble, L Stuart, A Georgiou, P Notin, A Mehrjou, R Schwessinger, ... arXiv preprint arXiv:2501.07737, 2025 | | 2025 |
| Using Biological Signals for Mass Recalibration of Mass Spectrometry Imaging Data R La Rocca, C Kune, M Tiquet, L Stuart, T Alexandrov, E De Pauw, ... | | 2020 |
