Subwavelength optics with hyperbolic metamaterials: Waveguides, scattering, and optical topological transitions. - Satoshi Ishii; Viktoriia E. Babicheva; Mikhail Y. Shalaginov; Alexandra Boltasseva; Alexander V. Kildishev; Evgenii Narimanov (ICTON, 2016)

A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks. - Sensong An; Clayton Fowler; Bowen Zheng 003; Mikhail Y. Shalaginov; Hong Tang; Hang Li; Li Zhou; Jun Ding; Anuradha Murthy Agarwal; Clara Rivero-Baleine; Kathleen A. Richardson; Tian Gu; et al. (CoRR, 2019)

Generative Multi-Functional Meta-Atom and Metasurface Design Networks. - Sensong An; Bowen Zheng 003; Hong Tang; Mikhail Y. Shalaginov; Li Zhou; Hang Li; Tian Gu; Juejun Hu; Clayton Fowler; Hualiang Zhang (CoRR, 2019)

A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks. - Sensong An; Bowen Zheng 003; Mikhail Y. Shalaginov; Hong Tang; Hang Li; Li Zhou; Jun Ding; Anuradha Murthy Agarwal; Clara Rivero-Baleine; Myungkoo Kang; Kathleen A. Richardson; Tian Gu; et al. (CoRR, 2020)

Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis. - Andrew Tao; Kevin Qi; Daniel Che; Mikhail Y. Shalaginov; Tingying Helen Zeng (ISNCC, 2021)

Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces. - Sensong An; Bowen Zheng 003; Mikhail Y. Shalaginov; Hong Tang; Hang Li; Li Zhou; Yunxi Dong; Mohammad Haerinia; Anuradha Murthy Agarwal; Clara Rivero-Baleine; Myungkoo Kang; Kathleen A. Richardson; et al. (CoRR, 2021)

Scoliosis Detection with Convolutional Neural Networks. - Qiushi Chen; Rory Liao; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2022)

Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning. - Emma Chen; Rory Liao; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2022)

COVID-19 Impact on Mental Health Analysis based on Reddit Comments. - Justin Q. Chen; Kevin Qi; Aaron Zhang; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2022)

A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy. - Vivian Liu; Mikhail Y. Shalaginov; Rory Liao; Tingying Helen Zeng (BIBM, 2022)

A Machine-Learning Approach for Predicting Depression Through Demographic and Socioeconomic Features. - Joseph Sun; Rory Liao; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2022)

Class Activation Mapping Enhanced AlexNet Convolutional Neural Networks for Early Diagnosis of Alzheimer's Disease. - William Xu; Tingying Helen Zeng; Mikhail Y. Shalaginov (BIBM, 2022)

Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. - Alexander Li; Mikhail Y. Shalaginov; Andrew Tao; Tingying Helen Zeng (ICMLA, 2023)

Injury Risk Prediction in Soccer Using Machine Learning. - Brendan Shen; Mikhail Y. Shalaginov; Tingying Helen Zeng (ICMLA, 2023)

Prediction of Multiple Sclerosis Disease Progression Using Machine Learning Techniques on Datasets. - Antonio Feng; David Nizovsky; Tingying Helen Zeng; Mikhail Y. Shalaginov (BIBM, 2024)

Brain Hemorrhage CT Image Detection and Classification using Deep Learning Methods. - Kevin Haowen Wu; Kevin Zeng; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2024)