Hugo Ceulemans

机构：Johnson & Johnson (United States), Johnson & Johnson (Israel), Johnson & Johnson (Brazil) · ORCID：0000-0002-7059-4399

发表论文 102 篇 · 总被引 6689 次 · h-index 37

代表论文

• Image-based profiling for drug discovery: due for a machine-learning upgrade? (2020 · Nature Reviews Drug Discovery · 被引 431)
• MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information (2023 · Journal of Chemical Information and Modeling · 被引 130)
• JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations (2023 · bioRxiv (Cold Spring Harbor Laboratory) · 被引 106)
• Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies (2021 · Molecular Informatics · 被引 74)
• Industry-Scale Orchestrated Federated Learning for Drug Discovery (2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 被引 45)
• Reaction Data Curation I: Chemical Structures and Transformations Standardization (2021 · Molecular Informatics · 被引 44)