Adrienne S. Kline

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Manual Segmentation

Prognostic Models

Item Response Theory

Machine Learning

Top Venues

J. Am. Medical Informatics Assoc.

npj Digit. Medicine

Publications

Yongfeng Tao, Minqiang Yang, Yushan Wu, Kevin Lee, Adrienne S. Kline, Bin Hu
Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer. Digit. Commun. Networks 10 (3) (2024)
Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. CoRR (2023)
Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Adrienne S. Kline, Yuan Luo
IRTCI: Item Response Theory for Categorical Imputation. CoRR (2023)
Adrienne S. Kline, Joon Lee
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning. CoRR (2023)
Adrienne S. Kline, Vinesh Appadurai, Yuan Luo, Sanjiv J. Shah
Medical Image Deidentification, Cleaning and Compression Using Pylogik. CoRR (2023)
Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo
Transportability of bacterial infection prediction models for critically ill patients. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. CoRR (2023)
Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. CoRR (2022)
Adrienne S. Kline, Yuan Luo
PsmPy: A Package for Retrospective Cohort Matching in Python. EMBC (2022)
Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
Multimodal Machine Learning in Precision Health. CoRR (2022)
Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine 5 (2022)
Adrienne S. Kline, Theresa J. B. Kline, Joon Lee
Item response theory as a feature selection and interpretation tool in the context of machine learning. Medical Biol. Eng. Comput. 59 (2) (2021)
Zahra Shakeri Hossein Abad, Adrienne S. Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini, Majed M. Al-Jefri, Joon Lee
Digital public health surveillance: a systematic scoping review. npj Digit. Medicine 4 (2021)
Adrienne S. Kline, Hyun Jae Chung, Waleed Rahmani, Justin Chun
Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training. EMBC (2021)
Zahra Shakeri Hossein Abad, Adrienne S. Kline, Joon Lee
Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices. EMBC (2020)
Adrienne S. Kline, Theresa J. B. Kline, Zahra Shakeri Hossein Abad, Joon Lee
Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality Prediction. EMBC (2020)