Musen, Mark
Stanford University
5 papers on CoChatORCID 0000-0003-3325-793X
Most cited papers
- Verified
Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease
Supekar, K., Menon, V., Rubin, D., Musen, M., & Greicius, M. D. (2008) · PLoS Computational Biology
Functional Brain Connectivity StudiesDementia and Cognitive Impairment Research
Cited by 1,148
- Verified
Development of large-scale functional brain networks in children
Supekar, K., Musen, M., & Menon, V. (2009) · PLoS Biology
Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications
Cited by 807
- Verified
Toward a science of learning systems: a research agenda for the high-functioning Learning Health System
Friedman, C., Rubin, J., Brown, J., Buntin, M., Corn, M., Etheredge, L., Gunter, C., Musen, M., Platt, R., Stead, W., et al. (2015) · Journal of the American Medical Informatics Association
Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education
Cited by 509
- Verified
The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information
Morris, J. H., Soman, K., Akbas, R. E., Zhou, X., Smith, B., Meng, E. C., Huang, C. C., Cerono, G., Schenk, G., Rizk-Jackson, A., et al. (2023) · Bioinformatics
Biomedical Text Mining and OntologiesSemantic Web and Ontologies
Cited by 99
- Verified · note
Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT
Mortensen, J. M., Minty, E. P., Januszyk, M., Sweeney, T. E., Rector, A. L., Noy, N. F., & Musen, M. A. (2015) · Journal of the American Medical Informatics Association
Biomedical Text Mining and OntologiesMobile Crowdsensing and Crowdsourcing
Cited by 63
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