2026
Clinical Reference Percentiles for AI-derived Epicardial Adipose Tissue: A Multicenter Study. [Article]
medRxiv (2026).
polyDAG: polynomial acyclicity constraints for efficient continuous causal discovery in visual semantic graphs. [Article] [Code]
The Visual Computer (2026).
Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study. [Article]
Circulation: Cardiovascular Imaging (2026).
Population-Specific Characteristics of Epicardial Adipose Tissue in Patients Undergoing Hybrid Perfusion Imaging: An AI-enabled Multicenter Study. [Article]
Journal of Nuclear Medicine (2026).
Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers. [PDF] [Code]
npj Digital Medicine (2026).
2025
AI-based Aortic Measurements from Cardiac CT Attenuation Scans Identify High-risk Patients. [Article]
Journal of Nuclear Cardiology (2025).
AI-based hepatic steatosis detection and integrated hepatic assessment from cardiac CT attenuation scans enhances all-cause mortality risk stratification: a multi-center study. [Article]
medRxiv (2025).
AI-based identification of patients who benefit from revascularization: a multicenter study. [Article]
medRxiv (2025).
82Rb positron emission tomography myocardial blood flow quantification: Influence of arterial input curve quality on diagnostic accuracy. [Article]
Journal of Nuclear Cardiology (2025).
AI-based integrated body composition assessment from cardiac SPECT CT attenuation maps and its association with mortality. [Article]
Journal of Nuclear Medicine (2025).
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study. [Article]
The Lancet Digital Health (2025).
Deep learning-enabled, computed-tomography-based race-and sex-specific epicardial adipose tissue thresholds for cardiovascular risk stratification. [Article]
Medical Imaging 2025: Clinical and Biomedical Imaging (2025).
Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction. [PDF] [Code]
npj Digital Medicine (2025).
Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment. [Article]
European Heart Journal—Cardiovascular Imaging (2025).
2024
Developing remote patient monitoring infrastructure using commercially available cloud platforms. [Article]
Frontiers in Digital Health (2024).
Remote patient monitoring for global emergencies: a case study in COVID-19 patients. [PDF]
Preprints (2024).
Enhanced Risk Prediction for Cardiac PET/CT Using Cardiac Chamber Volumes and Myocardial Mass Derived From CT Attenuation Maps Using Deep Learning. [Article]
Journal of Nuclear Cardiology (2024).
Automating Revascularization Decision Support: Clinical Application of Artificial Intelligence. [PDF]
Journal of Nuclear Cardiology (2024).
Fully automated aortic diameter measurements on SPECT/CT attenuation maps in patients undergoing myocardial perfusion imaging. [Article]
European Heart Journal—Cardiovascular Imaging (2024).
AI detects patient race from myocardial perfusion PET: towards understanding unintended biases of predictive models. [Article]
Journal of Nuclear Medicine (2024).
AI-derived multi-structure analysis from cardiac SPECT/CT attenuation maps improves mortality prediction from myocardial perfusion imaging. [Article]
Journal of Nuclear Medicine (2024).
AI-based approach to improve coronary artery disease diagnosis from cardiac PET. [Article]
Journal of Nuclear Medicine (2024).
Volumetric assessment of body composition from cardiac SPECT CT attenuation maps and association of sarcopenia measures with mortality. [Article]
Journal of Nuclear Medicine (2024).
Effect of stress/rest peak ratio of the arterial input curves on diagnostic performance of 82Rb PET myocardial blood flow quantification. [Article]
Journal of Nuclear Medicine (2024).
2023
ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique. [PDF] [Code]
Journal of Physics: Conference Series (2023).
Towards Fair and Interpretable AI Healthcare Predictive Models: From Wearable Sensors to Causal Graphs. [Article]
Ph.D. dissertation, University of California, Los Angeles (2023).
2022
Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction. [Article]
Scientific Reports (2022).
Range of motion sensors for monitoring recovery of total knee arthroplasty. [Article]
IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (2022).
Physical activity behavior of patients at a skilled nursing facility: longitudinal cohort study. [Article]
JMIR mHealth and uHealth (2022).
The derivation of an International Classification of Diseases, Tenth Revision–based trauma-related mortality model using machine learning. [Article]
Journal of Trauma and Acute Care Surgery (2022).
Causal inference in medicine and in health policy: A summary. [Article]
Handbook on Computer Learning and Intelligence, Volume 2 (2022).
2020
2019
WOTBoost: Weighted oversampling technique in boosting for imbalanced learning. [Article]
IEEE International Conference on Big Data (2019).
GenSample: a genetic algorithm for oversampling in imbalanced datasets. [PDF]
arXiv (2019).
A combination of indoor localization and wearable sensor–based physical activity recognition to assess older patients undergoing subacute rehabilitation: Baseline study results. [Article]
JMIR mHealth and uHealth (2019).
2018
Using Smart Watch Sensing in At-Risk Populations (SARP) in a Sub-Acute Rehabilitation Center. [Article]
Archives of Physical Medicine and Rehabilitation (2018).