Design and usability of a medical computing system for diagnosis of mild traumatic brain injury. - Vignesh Subbian; Fred R. Beyette; Philip A. Wilsey (EMBC, 2012)

Development of a point-of-care medical device to measure head impact in contact sports. - Dhanashree Ambekar; Zakaria Al-Deneh; Triet Dao; Alexander L. Dziech; Vignesh Subbian; Fred R. Beyette (EMBC, 2013)

Development and evaluation of hardware for Point-of-Care assessment of upper-limb motor performance. - Vignesh Subbian; Philip A. Wilsey; Fred R. Beyette (EMBC, 2013)

Developing a new advanced microcontrollers course as a part of embedded systems curriculum. - Vignesh Subbian; Fred R. Beyette (FIE, 2013)

Experimental validation of a microcontroller-based wireless device to quantify head impacts. - Zakaria Al-Deneh; Dhanashree Ambekar; Triet Dao; Alexander L. Dziech; Vignesh Subbian; Fred R. Beyette (MWSCAS, 2013)

Design and development of a robotic system for clinical assessment of motor deficits. - Vignesh Subbian; Philip A. Wilsey; Fred R. Beyette (MWSCAS, 2013)

A programmable point-of-care device for external CSF drainage and monitoring. - Jeffrey R. Simkins; Vignesh Subbian; Fred R. Beyette (EMBC, 2014)

Quantitative assessment of Post-Concussion Syndrome following mild Traumatic Brain Injury using robotic technology. - Vignesh Subbian; Jason M. Meunier; Joseph J. Korfhagen; Jonathan J. Ratcliff; George J. Shaw; Fred R. Beyette (EMBC, 2014)

Feasibility of energy harvesting techniques for wearable medical devices. - Thaddaeus J. Voss; Vignesh Subbian; Fred R. Beyette (EMBC, 2014)

Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study. - Baran Balkan; Patrick Essay; Vignesh Subbian (EMBC, 2018)

AMIA's code of professional and ethical conduct 2018. - Carolyn Petersen; Eta S. Berner; Peter J. Embí; Kate Fultz Hollis; Kenneth W. Goodman; Ross Koppel; Christoph U. Lehmann; Harold P. Lehmann; Sarah A. Maulden; Kyle A. McGregor; Anthony Solomonides; Vignesh Subbian; et al. (J. Am. Medical Informatics Assoc., 2018)

Leveraging mobile health applications for biomedical research and citizen science: a scoping review. - Hannah Schmitz; Carol L. Howe; David G. Armstrong; Vignesh Subbian (J. Am. Medical Informatics Assoc., 2018)

DSL-TEACH: Data Science Literacy Training to Enhance Approaches for Clinical decision-making in Healthcare. - Samir Rachid Zaim; Ahyoung Amy Kim; Colleen Kenost; Helen Zhang; Yves A. Lussier; Vignesh Subbian (AMIA, 2019)

Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System. - Hannah K. Galvin; Carolyn Petersen; Vignesh Subbian; Anthony Solomonides (Appl. Clin. Inform., 2019)

Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. - Jessica D. Tenenbaum; Krithika Bhuvaneshwar; Jane P. Gagliardi; Kate Fultz Hollis; Peilin Jia; Liang Ma; Radhakrishnan Nagarajan; Gopalkumar Rakesh; Vignesh Subbian; Shyam Visweswaran; Zhongming Zhao; Leon Rozenblit (Briefings Bioinform., 2019)

Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data. - Ahyoung Amy Kim; Samir Rachid Zaim; Vignesh Subbian (Int. J. Medical Informatics, 2020)

It is time for computable evidence synthesis: The COVID-19 Knowledge Accelerator initiative. - Brian S. Alper; Joshua E. Richardson; Harold P. Lehmann; Vignesh Subbian (J. Am. Medical Informatics Assoc., 2020)

Fighting COVID-19 with FHIR: Latest Developments from the COVID-19 Knowledge Accelerator (COKA). - Brian S. Alper; Harold P. Lehmann; Joanne Dehnbostel; Andrey Soares; Vignesh Subbian (AMIA, 2021)

Impact of COVID-19 Pandemic on Emergency Department Visits: A Regional Case Study of Informatics Challenges and Opportunities. - Hamid Ghaderi; Jeffrey Stowell; Murtaza Akhter; Craig Norquist; Paul E. Pugsley; Vignesh Subbian (AMIA, 2021)

Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Jonathan J. Ratcliff; Chandan K. Reddy; Vignesh Subbian (AMIA, 2021)

Data Sharing Between Jail and Community Health Systems: Missing Links and Lessons for Re-Entry Success. - Geoffrey Glowalla; Vignesh Subbian (MedInfo, 2021)

Overriding Drug-Drug Interaction Alerts in Clinical Decision Support Systems: A Scoping Review. - Lorenzo Villa Zapata; Vignesh Subbian; Richard D. Boyce; Philip D. Hansten; John R. Horn; Sheila M. Gephart; Andrew Romero; Daniel C. Malone (MedInfo, 2021)

Phenotyping COVID-19 Patients by Ventilation Therapy: Data Quality Challenges and Cohort Characterization. - Patrick Essay; Jarrod Mosier; Vignesh Subbian (MIE, 2021)

Ethics and informatics in the age of COVID-19: challenges and recommendations for public health organization and public policy. - Vignesh Subbian; Anthony Solomonides; Melissa D. Clarkson; Vasiliki Nataly Rahimzadeh; Carolyn Petersen; Richard Schreiber; Paul R. DeMuro; Prerna Dua; Kenneth W. Goodman; Bonnie Kaplan; Ross Koppel; Christoph U. Lehmann; et al. (J. Am. Medical Informatics Assoc., 2021)

Making science computable: Developing code systems for statistics, study design, and risk of bias. - Brian S. Alper; Joanne Dehnbostel; Muhammad Afzal 001; Vignesh Subbian; Andrey Soares; Ilkka Kunnamo; Khalid Shahin; Robert C. McClure (J. Biomed. Informatics, 2021)

Assessment of Real-World Health Applications on FHIR. - Ashley C. Griffin; Lu He; Anthony Sunjaya; Andrew King; Zubin Khan; Brian J. Douthit; Martin Nwadiugwu; Vignesh Subbian; Mark Braunstein; Viet Nguyen; Charles Jaffe; Titus Schleyer (AMIA, 2022)

An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Chandan K. Reddy; Vignesh Subbian (AMIA, 2022)

25 Years of ELSI in Biomedical and Health Informatics. - Vignesh Subbian; Melissa D. Clarkson; Carolyn Petersen; Anthony Solomonides; Kenneth W. Goodman (AMIA, 2022)

Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review. - Zaniar Ardalan; Vignesh Subbian (Frontiers Artif. Intell., 2022)

Selecting venues for AMIA events and conferences: guiding ethical principles. - Christoph U. Lehmann; Kate Fultz Hollis; Carolyn Petersen; Paul R. DeMuro; Vignesh Subbian; Ross Koppel; Anthony E. Solomonides; Eta S. Berner; Eric C. Pan; Julia Adler-Milstein; Kenneth W. Goodman (J. Am. Medical Informatics Assoc., 2022)

AMIA's code of professional and ethical conduct 2022. - Carolyn Petersen; Eta S. Berner; Anthony Cardillo; Kate Fultz Hollis; Kenneth W. Goodman; Ross Koppel; Diane M. Korngiebel; Christoph U. Lehmann; Anthony E. Solomonides; Vignesh Subbian (J. Am. Medical Informatics Assoc., 2022)

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (J. Biomed. Informatics, 2023)

WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. - Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Brandon Foreman; Vignesh Subbian (J. Biomed. Informatics, 2023)

Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review. - Sarah Pungitore; Vignesh Subbian (J. Heal. Informatics Res., 2023)

Discovery of generalizable TBI phenotypes using multivariate time-series clustering. - Hamid Ghaderi; Brandon Foreman; Chandan K. Reddy; Vignesh Subbian (Comput. Biol. Medicine, 2024)

When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series. - Shashank Yadav; Vignesh Subbian (CHIL, 2025)

Developing and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines. - Oliver J. Bear Don't Walk IV; Shefali Haldar; Duo Helen Wei; Hu Huang 004; Rebecca L. Rivera; Jungwei W. Fan 001; Vipina Kuttichi Keloth; Tiffany I. Leung; Pooja M. Desai; Diane M. Korngiebel; Lisa Grossman Liu; Adrienne Pichon; et al. (J. Am. Medical Informatics Assoc., 2025)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)

PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping. - Sarah Pungitore; Shashank Yadav; Vignesh Subbian (CoRR, 2025)

Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutions. - Shashank Yadav; Vignesh Subbian (CoRR, 2025)

NIRS: An Ontology for Non-Invasive Respiratory Support in Acute Care. - Md Fantacher Islam; Jarrod Mosier; Vignesh Subbian (CoRR, 2025)