Adrienne S. Kline

20 papers Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ethical perspectives on deployment of large language model agents in biomedicine: a survey. AI Ethics Nafiseh Ghaffar Nia, Amin Amiri, Yuan Luo, Adrienne S. Kline
2025	J	`jnl`	GeneralizIT: A Python Solution for Generalizability Theory Computations. SoftwareX Tyler J. Smith, Theresa J. B. Kline, Adrienne S. Kline
2025	J	`jnl`	Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification - Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline. J. Imaging Inform. Medicine David A. Clunie, Adam Taylor, Tom Bisson, David A. Gutman, Ying Xiao, Christopher G. Schwarz, Douglas N. Greve, Judy Gichoya, George Shih, Adrienne S. Kline, Benjamin Kopchick, Keyvan Farahani
2024	J	`jnl`	Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer. Digit. Commun. Networks Yongfeng Tao, Minqiang Yang, Yushan Wu, Kevin Lee, Adrienne S. Kline, Bin Hu
2023	J	`jnl`	IRTCI: Item Response Theory for Categorical Imputation. CoRR Adrienne S. Kline, Yuan Luo
2023	J	`jnl`	Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning. CoRR Adrienne S. Kline, Joon Lee
2023	J	`jnl`	Medical Image Deidentification, Cleaning and Compression Using Pylogik. CoRR Adrienne S. Kline, Vinesh Appadurai, Yuan Luo, Sanjiv J. Shah
2023	J	`jnl`	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. Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
2023	J	`jnl`	StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. CoRR Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline
2023	J	`jnl`	Transportability of bacterial infection prediction models for critically ill patients. J. Am. Medical Informatics Assoc. Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo
2023	J	`jnl`	YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. CoRR Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline
2022	J	`jnl`	Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. CoRR Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
2022	J	`jnl`	Multimodal Machine Learning in Precision Health. CoRR Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022	J	`jnl`	Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022	—	`conf`	PsmPy: A Package for Retrospective Cohort Matching in Python. EMBC Adrienne S. Kline, Yuan Luo
2021	J	`jnl`	Digital public health surveillance: a systematic scoping review. npj Digit. Medicine Zahra Shakeri Hossein Abad, Adrienne S. Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini, Majed M. Al-Jefri, Joon Lee
2021	J	`jnl`	Item response theory as a feature selection and interpretation tool in the context of machine learning. Medical Biol. Eng. Comput. Adrienne S. Kline, Theresa J. B. Kline, Joon Lee
2021	—	`conf`	Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training. EMBC Adrienne S. Kline, Hyun Jae Chung, Waleed Rahmani, Justin Chun
2020	—	`conf`	Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices. EMBC Zahra Shakeri Hossein Abad, Adrienne S. Kline, Joon Lee
2020	—	`conf`	Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality Prediction. EMBC Adrienne S. Kline, Theresa J. B. Kline, Zahra Shakeri Hossein Abad, Joon Lee