Using physiological signals to predict apnea in preterm infants. - James R. Williamson; Daniel W. Bliss; David W. Browne; Premananda Indic; Elisabeth Bloch-Salisbury; David Paydarfar (ACSCC, 2011)

A point process model of respiratory dynamics in early physiological development. - Premananda Indic; David Paydarfar; Riccardo Barbieri (EMBC, 2011)

Optimal Stimulus Shapes for Neuronal Excitation. - Daniel B. Forger; David Paydarfar; John R. Clay (PLoS Comput. Biol., 2011)

Individualized apnea prediction in preterm infants using cardio-respiratory and movement signals. - James R. Williamson; Daniel W. Bliss; David W. Browne; Premananda Indic; Elisabeth Bloch-Salisbury; David Paydarfar (BSN, 2013)

Point Process Modeling of Interbreath Interval: A New Approach for the Assessment of Instability of Breathing in Neonates. - Premananda Indic; David Paydarfar; Riccardo Barbieri (IEEE Trans. Biomed. Eng., 2013)

Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement. - Ian Zuzarte; Courtney Temple; Premananda Indic; David Paydarfar (EMBC, 2014)

Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm. - Joshua Chang; David Paydarfar (J. Comput. Neurosci., 2014)

Uncovering statistical features of bradycardia severity in premature infants using a point process model. - Alan H. Gee; Riccardo Barbieri; David Paydarfar; Premananda Indic (EMBC, 2015)

Optimal stimulus waveforms for eliciting a spike: How close is the spike-triggered average? - Joshua Chang; David Paydarfar (NER, 2015)

Improving heart rate estimation in preterm infants with bivariate point process analysis of heart rate and respiration. - Alan H. Gee; Riccardo Barbieri; David Paydarfar; Premananda Indic (EMBC, 2016)

An Algorithm for Risk Stratification of Preterm Infants. - Venkata Naga Sai Apurupa Amperayani; Premananda Indic; Colm P. Travers; Riccardo Barbieri; David Paydarfar; Namasivayam Ambalavanan (CinC, 2017)

Predicting Bradycardia in Preterm Infants Using Point Process Analysis of Heart Rate. - Alan H. Gee; Riccardo Barbieri; David Paydarfar; Premananda Indic (IEEE Trans. Biomed. Eng., 2017)

Bayesian Online Changepoint Detection Of Physiological Transitions. - Alan H. Gee; Joshua Chang; Joydeep Ghosh; David Paydarfar (EMBC, 2018)

Optimizing stimulus waveforms for suppressing epileptic activity reveals a counterbalancing mechanism. - David Paydarfar (EMBC, 2018)

Applying Machine Learning Algorithms for Automatic Detection of Swallowing from Sound. - Laura F. Santoso; Faiz Baqai; Mary Gwozdz; Justina Lange; Matthew G. Rosenberger; James S. Sulzer; David Paydarfar (EMBC, 2019)

Explaining Deep Classification of Time-Series Data with Learned Prototypes. - Alan H. Gee; Diego Garcia-Olano; Joydeep Ghosh; David Paydarfar (KDH@IJCAI, 2019)

Optimizing stimulus waveforms for electroceuticals. - Joshua Chang; David Paydarfar (Biol. Cybern., 2019)

Automated movement detection reveals features of maturation in preterm infants. - Ian Zuzarte; Alan H. Gee; Dagmar Sternad; David Paydarfar (EMBC, 2020)

FaiR-N: Fair and Robust Neural Networks for Structured Data. - Shubham Sharma 002; Alan H. Gee; David Paydarfar; Joydeep Ghosh (AIES, 2021)

Predicting apneic events in preterm infants using cardio-respiratory and movement features. - Ian Zuzarte; Dagmar Sternad; David Paydarfar (Comput. Methods Programs Biomed., 2021)

Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation. - Samuel Liu; Christopher H. Bennett; Joseph S. Friedman; Matthew J. Marinella; David Paydarfar; Jean Anne C. Incorvia (CoRR, 2021)

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. - Kaan Sel; Andrea Hawkins-Daarud; Anirban Chaudhuri; Deen Osman; Ahmad Bahai; David Paydarfar; Karen Willcox; Caroline Chung; Roozbeh Jafari (npj Digit. Medicine, 2025)