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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging2025 Journal of Synchrotron Radiation article Computer Science Image and Signal Denoising Methods Open access
Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo
4citations -
Laboratory earthquake forecasting: A machine learning competition2021 Proceedings of the National Academy of Sciences article Computer Science Seismology and Earthquake Studies Open access cited by 1 patent
Paul Allan Johnson, Bertrand Rouet‐Leduc, L. J. Pyrak‐Nolte, Gregory C. Beroza, Chris J. Marone, Claudia Hulbert, +7 more
123citations -
Annotation of Allosteric Compounds to Enhance Bioactivity Modeling for Class A GPCRs2020 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Lindsey Burggraaff, Amber van Veen, Chi Chung Lam, Herman van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen
10citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +19 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations