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ACS Applied Materials & Interfaces|August 12, 2017
Early Assessment and Correlations of Nanoclay's Toxicity to Their Physical and Chemical PropertiesAlixandra Wagner, Andrew P White, Todd A Stueckle, et al.
Asian Journal of Neurosurgery|June 9, 2025
Meningioangiomatosis with Variable Imaging Feature: Rare Cause of Drug Refractory EpilepsyBheru Dan Charan, Vinay Goel, Sumanta Das, et al.
Materials (Basel, Switzerland)|November 29, 2017
Study of Perfluorophosphonic Acid Surface Modifications on Zinc Oxide NanoparticlesRosalynn Quiñones, Deben Shoup, Grayce Behnke, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk StratificationSkandha S Sanagala, Andrew Nicolaides, Suneet K Gupta, et al.
IEEE Journal of Biomedical and Health Informatics|August 11, 2021
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging PerspectiveJasjit S Suri, Sushant Agarwal, Suneet Gupta, et al.
Particle and Fibre Toxicology|March 21, 2024
In vitro inflammation and toxicity assessment of pre- and post-incinerated organomodified nanoclays to macrophages using high-throughput screening approachesTodd A Stueckle, Jake Jensen, Jayme P Coyle, et al.
Chemical Research in Toxicology|September 19, 2025
In Vitro Toxicity Assessment of Pre- and Post-incinerated Organomodified Nanoclays on Airway Epithelial and Lung Fibroblast CellsTodd A Stueckle, Jake Jensen, Jayme P Coyle, et al.
Environmental Science. Nano|May 19, 2023
Characterization of aerosolized particles from nanoclay-enabled composites during manipulation processesEun Gyung Lee, Lorenzo Cena, Jiwoon Kwon, et al.
ACS Nano|February 17, 2018
Short-Term Pulmonary Toxicity Assessment of Pre- and Post-incinerated Organomodified Nanoclay in MiceTodd A Stueckle, Donna C Davidson, Ray Derk, et al.
Frontiers in Artificial Intelligence|July 15, 2024
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomographySushant Agarwal, Sanjay Saxena, Alessandro Carriero, et al.
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