RREV: Reconfigurable Rendering Engine for visualization of clinically annotated polysomnograms. - Catherine P. Jayapandian; Wei Wang; Michael G. Morrical; Dennis A. Dean; Shiqiang Tao; Daniel R. Mobley; Matthew Kim; Michael Rueschman; Kenneth A. Loparo; Susan Redline; Guo-Qiang Zhang 001 (BIBM, 2015)

Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description. - Satya S. Sahoo; Joshua Valdez; Michael Rueschman (AMIA, 2016)

An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper). - Joshua Valdez; Michael Rueschman; Matthew Kim; Susan Redline; Satya S. Sahoo (OTM Conferences, 2016)

ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies. - Joshua Valdez; Matthew Kim; Michael Rueschman; Vimig Socrates; Satya S. Sahoo (AMIA, 2017)

An Extensible Ontology Modeling Approach Using Post Coordinated Expressions for Semantic Provenance in Biomedical Research. - Joshua Valdez; Michael Rueschman; Matthew Kim; Sara ArabYarmohammadi; Susan Redline; Satya S. Sahoo (OTM Conferences (2), 2017)

Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project. - Joshua Valdez; Matthew Kim; Michael Rueschman; Susan Redline; Satya S. Sahoo (IPAW, 2018)

The National Sleep Research Resource: towards a sleep data commons. - Guo-Qiang Zhang 001; Licong Cui; Remo Mueller; Shiqiang Tao; Matthew Kim; Michael Rueschman; Sara Mariani; Daniel R. Mobley; Susan Redline (J. Am. Medical Informatics Assoc., 2018)

Semantic Provenance Graph for Reproducibility of Biomedical Research Studies: Generating and Analyzing Graph Structures from Published Literature. - Satya S. Sahoo; Joshua Valdez; Michael Rueschman; Matthew Kim (MedInfo, 2019)

ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata. - Satya S. Sahoo; Joshua Valdez; Matthew Kim; Michael Rueschman; Susan Redline (Int. J. Medical Informatics, 2019)

Benchmark on a large cohort for sleep-wake classification with machine learning techniques. - João R. M. Palotti; Raghvendra Mall; Michaël Aupetit 001; Michael Rueschman; Meghna Singh; Aarti Sathyanarayana; Shahrad Taheri; Luis Fernández-Luque (npj Digit. Medicine, 2019)