| Lifestyle and behaviors: predicting clinical signs and symptoms with machine learning MC Lin, AD Graham, T Kothapalli, J Wang, J Ding, V Tse, XY Stella Investigative Ophthalmology & Visual Science 64 (8), 2880-2880, 2023 | 4 | 2023 |
| A Machine Learning Approach to Predicting Dry Eye-Related Signs, Symptoms and Diagnoses from Meibography Images AD Graham, T Kothapalli, J Wang, J Ding, V Tse, P Asbell, S Yu, MC Lin Heliyon, 2024 | 3 | 2024 |
| Controlling Tensegrity Robots through Evolution using Friction based Actuation T Kothapalli, AK Agogino NASA Technical Reports Server, 2017 | 2 | 2017 |
| Tracking the Dynamics of the Tear Film Lipid Layer T Kothapalli, C Shou, J Ding, J Wang, AD Graham, T Svitova, SX Yu, ... Neural Information Processing Systems (NeurIPS) Medical Imaging Workshop, 2022 | 1 | 2022 |
| AI provides deeper understanding of Meibomian gland morphology and function MC Lin, J Wang, T Kothapalli, AD Graham, S Yu American Academy of Optometry (AAOPT) Annual Meeting 2022, 26-29, 2022 | 1 | 2022 |
| Saving Energy in Homes Using Wi-Fi Device Usage Patterns T Kothapalli International Journal of Energy Optimization and Engineering (IJEOE) 7 (3 …, 2018 | 1 | 2018 |
| Artificial Intelligence Models Utilize Lifestyle Factors to Predict Dry Eye-Related Outcomes AD Graham, J Wang, T Kothapalli, J Ding, H Tasho, A Molina, V Tse, ... | | 2024 |
| Studying Dry Eye Syndrome with Machine Learning T Kothapalli | | 2022 |
Meng C. LINUniversity of California, Berkeley在 berkeley.edu 的电子邮件经过验证
