Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics data. - Anna C. Reisetter; Michael J. Muehlbauer; James R. Bain; Michael Nodzenski; Robert D. Stevens 002; Olga Ilkayeva; Boyd E. Metzger; Christopher B. Newgard; William L. Lowe Jr.; Denise M. Scholtens (BMC Bioinform., 2017)

A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction. - Han B. Kim; Hieu Nguyen; Qingchu Jin; Sharmila Tamby; Tatiana Gelaf Romer; Eric Sung; Ran Liu; Joseph L. Greenstein; Jose I. Suarez; Christian Storm; Raimond L. Winslow; Robert D. Stevens 002 (CoRR, 2020)

A Multi-Modal Array of Interpretable Features to Evaluate Language and Speech Patterns in Different Neurological Disorders. - Anna Favaro; Chelsie Motley; Tianyu Cao 003; Miguel Iglesias; Ankur A. Butala; Esther S. Oh; Robert D. Stevens 002; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (SLT, 2022)

The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence. - Shubhayu Bhattacharyay; Ioan Milosevic; Lindsay Wilson; David K. Menon; Robert D. Stevens 002; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 2022)

Assistive Multimodal Wearable for Open Air Digit Recognition Using Machine Learning. - John M. Rattray; Maxwell Ujhazy; Robert Stevens 002; Ralph Etienne-Cummings (NER, 2023)

Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 2023)

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. - Andrea I. Luppi; Joana Cabral; Rodrigo Cofré; Pedro A. M. Mediano; Fernando E. Rosas; Abid Y. Qureshi; Amy Kuceyeski; Enzo Tagliazucchi; Federico Raimondo; Gustavo Deco; James M. Shine; Morten L. Kringelbach; et al. (NeuroImage, 2023)

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (npj Digit. Medicine, 2023)

A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit. - Shiker S. Nair; Alina Guo; Joseph Boen; Ataes Aggarwal; Ojas Chahal; Arushi Tandon; Meer Patel; Sreenidhi Sankararaman; Nicholas J. Durr; Tej D. Azad; Romain Pirracchio; Robert D. Stevens 002 (Comput. Biol. Medicine, 2024)