A formalization of a nominalistic set theory. - Charles Chihara; Yutang Lin; Thomas Schaffter (J. Philos. Log., 1975)

Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods. - Daniel Marbach; Thomas Schaffter; Claudio Mattiussi; Dario Floreano (J. Comput. Biol., 2009)

GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods. - Thomas Schaffter; Daniel Marbach; Dario Floreano (Bioinform., 2011)

Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction. - Timothy Bergquist; Yao Yan; Thomas Schaffter; Thomas Yu; Vikas Pejaver; Noah Hammarlund; Justin Prosser; Justin Guinney; Sean D. Mooney (J. Am. Medical Informatics Assoc., 2020)

A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction. - Yao Yan; Thomas Schaffter; Timothy Bergquist; Thomas Yu; Justin Prosser; Sean D. Mooney; Justin Guinney (AMIA, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. - Yao Yan; Thomas Yu; Kathleen Muenzen; Sijia Liu 002; Connor Boyle; George Koslowski; Jiaxin Zheng; Nicholas J. Dobbins; Clement Essien; Hongfang Liu; Larsson Omberg; Meliha Yestigen; et al. (CoRR, 2022)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Dalton Schutte; et al. (J. Am. Medical Informatics Assoc., 2023)

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. - Timothy Bergquist; Thomas Schaffter; Yao Yan; Thomas Yu; Justin Prosser; Jifan Gao; Guanhua Chen 002; Lukasz Charzewski; Zofia Nawalany; Ivan Brugere; Renata Retkute; Alidivinas Prusokas; et al. (J. Am. Medical Informatics Assoc., 2023)