• 2022 Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution
• 2022 Offline Off-Policy Reinforcement Learning to Optimize Fluid Management in Critical Care
• 2021 Early prediction of hemodynamic interventions in the intensive care unit using machine learning
• 2021 Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series
• 2021 Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome
• 2020 Phenotyping with Prior Knowledge using Patient Similarity
• 2020 A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification
• 2020 Direct current stimulation boosts hebbian plasticity in vitro
• 2019 A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series
• 2018 Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings
• 2018 Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation
• 2018 An ensemble boosting model for predicting transfer to the pediatric intensive care unit
• 2017 Patient Similarity Using Population Statistics and Multiple Kernel Learning
• 2017 Direct current stimulation alters neuronal input/output function
• 2017 Direct current stimulation boosts synaptic gain and cooperativity in vitro
• 2016 Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds
• 2016 Animal models of transcranial direct current stimulation: methods and mechanisms
• 2015 Reliability of repeated TMS measures in older adults and in patients with subacute and chronic stroke
• 2015 Modeling sequence and quasi-uniform assumption in computational neurostimulation
• 2015 Multilevel computational models for predicting the cellular effects of noninvasive brain stimulation
• 2015 Methods for specific electrode resistance measurement during transcranial direct current stimulation
• 2014 Clinician accessible tools for GUI computational models of transcranial electrical stimulation: BONSAI and SPHERES
• 2014 Polarizing cerebellar neurons with transcranial direct current stimulation
• 2013 Origins of specificity during tDCS: anatomical, activity-selective, and input-bias mechanisms
• 2013 Cellular effects of acute direct current stimulation: somatic and synaptic terminal effects
• 2013 The “quasi-uniform” assumption in animal and computational models of non-invasive electrical stimulation
• 2013 Methods for extra-low voltage transcranial direct current stimulation: current and time dependent impedance decreases
• 2013 Effects of weak transcranial Alternating Current Stimulation on brain activity–a review of known mechanisms from animal studies
• 2012 Computational models of transcranial direct current stimulation
• 2012 Axon terminal polarization induced by weak uniform DC electric fields: a modeling study
• 2012 Temperature control at DBS electrodes using a heat sink: experimentally validated FEM model of DBS lead architecture
• 2012 High-resolution modeling assisted design of customized and individualized transcranial direct current stimulation protocols
• 2010 Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing
• 2010 Electrode montages for tDCS and weak transcranial electrical stimulation: role of “return” electrode’s position and size