Vignesh Subbian

48 papers C 1Misc 7Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph-spa: A Spatiotemporal Graph Neural Network based framework for ARDS prediction and interpretability.
J. Biomed. Informatics
Shashank Yadav, Molly Douglas, Jarrod Mosier, Vignesh Subbian
2025 J jnl
Developing and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines.
J. Am. Medical Informatics Assoc.
Oliver J. Bear Don't Walk IV, Shefali Haldar, Duo Helen Wei, Hu Huang, Rebecca L. Rivera, Jungwei W. Fan, Vipina Kuttichi Keloth, Tiffany I. Leung, Pooja M. Desai, Diane M. Korngiebel, Lisa Grossman Liu, Adrienne Pichon, Vignesh Subbian, Anthony Solomonides, Laura K. Wiley, Omolola Ogunyemi, Gretchen P. Jackson, Irene Dankwa-Mullan, Lisa G. Dirks, Avery Rose Everhart, Andrea G. Parker, Bradley E. Iott, Clair A. Kronk, Randi E. Foraker, Krista G. Martin, Tara Anand, Salvatore G. Volpe, Nathan Yung, Rubina F. Rizvi, Robert Lucero, Tiffani J. Bright
2025 J jnl
Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutions.
CoRR
Shashank Yadav, Vignesh Subbian
2025 — conf
Monte Carlo ExtremalMask: Uncertainty Aware Time Series Model Interpretability For Critical Care Applications.
MLHC
Shashank Yadav, Vignesh Subbian
2025 J jnl
NIRS: An Ontology for Non-Invasive Respiratory Support in Acute Care.
CoRR
Md Fantacher Islam, Jarrod Mosier, Vignesh Subbian
2025 J jnl
National COVID Cohort Collaborative data enhancements: a path for expanding common data models.
J. Am. Medical Informatics Assoc.
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, Alexis Graves, Alfred (Jerrod) Anzalone, Amin Manna, Amit Saha, Amy Olex, Andrea Zhou, Andrew E. Williams, Andrew Southerland, Andrew T. Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin R. C. Amor, Benjamin Bates, Brian Hendricks, Brijesh Patel, Caleb Alexander, Carolyn T. Bramante, Cavin Ward-Caviness, Charisse R. Madlock-Brown, Christine Suver, Christopher G. Chute, Christopher Dillon, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A. Eichmann, Diego Mazzotti, Don Brown, Eilis Boudreau, Elaine L. Hill, Elizabeth Zampino, Emily Carlson Marti, Evan French, Farrukh M. Koraishy, Federico Mariona, Fred W. Prior, George Sokos, Greg Martin, Harold P. Lehmann, Heidi Spratt, Hemalkumar Mehta, Hongfang Liu, Hythem Sidky, J. W. Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel Gagnier, Joel H. Saltz, Johanna Loomba, John Buse, Jomol P. Mathew, Joni L. Rutter, Julie A. McMurry, Justin Guinney, Justin Starren, Karen Crowley, Katie Rebecca Bradwell, Ken Wilkins, Kenneth R. Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lesley Cottrell, Lili M. Portilla, Mariam Deacy, Mark M. Bissell, Mary Emmett, Mary Morrison Saltz, Melissa A. Haendel, Meredith C. B. Adams, Meredith Temple-O'Connor, Michael G. Kurilla, Nabeel Qureshi, Nasia Safdar, Nicole Garbarini, Noha Sharafeldin, Ofer Sadan, Patricia A. Francis, Penny Wung Burgoon, Peter N. Robinson, Philip R. O. Payne, Rafael Fuentes, Randeep Jawa, Rebecca Erwin-Cohen, Rena Patel, Richard A. Moffitt, Richard L. Zhu, Rishi Kamaleswaran, Robert Hurley, Saiju Pyarajan, Sam G. Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, Shawn T. O'Neil, Soko Setoguchi, Steve Johnson, Tellen D. Bennett, Tiffany Callahan, Umit Topaloglu, Usman Sheikh, Valery Gordon, Vignesh Subbian, Warren A. Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang
2025 J jnl
PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping.
CoRR
Sarah Pungitore, Shashank Yadav, Vignesh Subbian
2025 — conf
When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series.
CHIL
Shashank Yadav, Vignesh Subbian
2024 J jnl
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering.
CoRR
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2024 J jnl
Discovery of generalizable TBI phenotypes using multivariate time-series clustering.
Comput. Biol. Medicine
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping.
CoRR
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping.
J. Biomed. Informatics
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review.
J. Heal. Informatics Res.
Sarah Pungitore, Vignesh Subbian
2023 J jnl
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series.
CoRR
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values.
J. Biomed. Informatics
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
2022 Misc conf
25 Years of ELSI in Biomedical and Health Informatics.
AMIA
Vignesh Subbian, Melissa D. Clarkson, Carolyn Petersen, Anthony Solomonides, Kenneth W. Goodman
2022 J jnl
AMIA's code of professional and ethical conduct 2022.
J. Am. Medical Informatics Assoc.
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
2022 Misc conf
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
AMIA
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2022 J jnl
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
CoRR
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2022 Misc conf
Assessment of Real-World Health Applications on FHIR.
AMIA
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
2022 J jnl
Selecting venues for AMIA events and conferences: guiding ethical principles.
J. Am. Medical Informatics Assoc.
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
2022 J jnl
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review.
Frontiers Artif. Intell.
Zaniar Ardalan, Vignesh Subbian
2022 J jnl
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values.
CoRR
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
2021 — conf
Data Sharing Between Jail and Community Health Systems: Missing Links and Lessons for Re-Entry Success.
MedInfo
Geoffrey Glowalla, Vignesh Subbian
2021 J jnl
Ethics and informatics in the age of COVID-19: challenges and recommendations for public health organization and public policy.
J. Am. Medical Informatics Assoc.
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, Eric C. Pan, Yalini Senathirajah
2021 Misc conf
Fighting COVID-19 with FHIR: Latest Developments from the COVID-19 Knowledge Accelerator (COKA).
AMIA
Brian S. Alper, Harold P. Lehmann, Joanne Dehnbostel, Andrey Soares, Vignesh Subbian
2021 Misc conf
Impact of COVID-19 Pandemic on Emergency Department Visits: A Regional Case Study of Informatics Challenges and Opportunities.
AMIA
Hamid Ghaderi, Jeffrey Stowell, Murtaza Akhter, Craig Norquist, Paul E. Pugsley, Vignesh Subbian
2021 J jnl
Making science computable: Developing code systems for statistics, study design, and risk of bias.
J. Biomed. Informatics
Brian S. Alper, Joanne Dehnbostel, Muhammad Afzal, Vignesh Subbian, Andrey Soares, Ilkka Kunnamo, Khalid Shahin, Robert C. McClure
2021 — conf
Overriding Drug-Drug Interaction Alerts in Clinical Decision Support Systems: A Scoping Review.
MedInfo
Lorenzo Villa Zapata, Vignesh Subbian, Richard D. Boyce, Philip D. Hansten, John R. Horn, Sheila M. Gephart, Andrew Romero, Daniel C. Malone
2021 — conf
Phenotyping COVID-19 Patients by Ventilation Therapy: Data Quality Challenges and Cohort Characterization.
MIE
Patrick Essay, Jarrod Mosier, Vignesh Subbian
2021 Misc conf
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury.
AMIA
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian
2020 J jnl
Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data.
Int. J. Medical Informatics
Ahyoung Amy Kim, Samir Rachid Zaim, Vignesh Subbian
2020 J jnl
It is time for computable evidence synthesis: The COVID-19 Knowledge Accelerator initiative.
J. Am. Medical Informatics Assoc.
Brian S. Alper, Joshua E. Richardson, Harold P. Lehmann, Vignesh Subbian
2019 Misc conf
DSL-TEACH: Data Science Literacy Training to Enhance Approaches for Clinical decision-making in Healthcare.
AMIA
Samir Rachid Zaim, Ahyoung Amy Kim, Colleen Kenost, Helen Zhang, Yves A. Lussier, Vignesh Subbian
2019 J jnl
Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System.
Appl. Clin. Inform.
Hannah K. Galvin, Carolyn Petersen, Vignesh Subbian, Anthony Solomonides
2019 J jnl
Translational bioinformatics in mental health: open access data sources and computational biomarker discovery.
Briefings Bioinform.
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
2018 J jnl
AMIA's code of professional and ethical conduct 2018.
J. Am. Medical Informatics Assoc.
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, Enrique Terrazas, Peter Winkelstein
2018 — conf
Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study.
EMBC
Baran Balkan, Patrick Essay, Vignesh Subbian
2018 J jnl
Leveraging mobile health applications for biomedical research and citizen science: a scoping review.
J. Am. Medical Informatics Assoc.
Hannah Schmitz, Carol L. Howe, David G. Armstrong, Vignesh Subbian
2014 — conf
A programmable point-of-care device for external CSF drainage and monitoring.
EMBC
Jeffrey R. Simkins, Vignesh Subbian, Fred R. Beyette
2014 — conf
Feasibility of energy harvesting techniques for wearable medical devices.
EMBC
Thaddaeus J. Voss, Vignesh Subbian, Fred R. Beyette
2014 — conf
Quantitative assessment of Post-Concussion Syndrome following mild Traumatic Brain Injury using robotic technology.
EMBC
Vignesh Subbian, Jason M. Meunier, Joseph J. Korfhagen, Jonathan J. Ratcliff, George J. Shaw, Fred R. Beyette
2013 — conf
Design and development of a robotic system for clinical assessment of motor deficits.
MWSCAS
Vignesh Subbian, Philip A. Wilsey, Fred R. Beyette
2013 C conf
Developing a new advanced microcontrollers course as a part of embedded systems curriculum.
FIE
Vignesh Subbian, Fred R. Beyette
2013 — conf
Development and evaluation of hardware for Point-of-Care assessment of upper-limb motor performance.
EMBC
Vignesh Subbian, Philip A. Wilsey, Fred R. Beyette
2013 — conf
Development of a point-of-care medical device to measure head impact in contact sports.
EMBC
Dhanashree Ambekar, Zakaria Al-Deneh, Triet Dao, Alexander L. Dziech, Vignesh Subbian, Fred R. Beyette
2013 — conf
Experimental validation of a microcontroller-based wireless device to quantify head impacts.
MWSCAS
Zakaria Al-Deneh, Dhanashree Ambekar, Triet Dao, Alexander L. Dziech, Vignesh Subbian, Fred R. Beyette
2012 — conf
Design and usability of a medical computing system for diagnosis of mild traumatic brain injury.
EMBC
Vignesh Subbian, Fred R. Beyette, Philip A. Wilsey