Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices. - Zahra Shakeri Hossein Abad; Adrienne S. Kline; Joon Lee (EMBC, 2020)

Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality Prediction. - Adrienne S. Kline; Theresa J. B. Kline; Zahra Shakeri Hossein Abad; Joon Lee (EMBC, 2020)

Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training. - Adrienne S. Kline; Hyun Jae Chung; Waleed Rahmani; Justin Chun (EMBC, 2021)

Item response theory as a feature selection and interpretation tool in the context of machine learning. - Adrienne S. Kline; Theresa J. B. Kline; Joon Lee (Medical Biol. Eng. Comput., 2021)

Digital public health surveillance: a systematic scoping review. - Zahra Shakeri Hossein Abad; Adrienne S. Kline; Madeena Sultana; Mohammad Noaeen; Elvira Nurmambetova; Filipe R. Lucini; Majed M. Al-Jefri; Joon Lee (npj Digit. Medicine, 2021)

PsmPy: A Package for Retrospective Cohort Matching in Python. - Adrienne S. Kline; Yuan Luo 001 (EMBC, 2022)

Multimodal Machine Learning in Precision Health. - Adrienne S. Kline; Hanyin Wang; Yikuan Li; Saya R. Dennis; Meghan Hutch; Zhenxing Xu; Fei Wang 001; Feixiong Cheng; Yuan Luo 001 (CoRR, 2022)

Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. - Hanyin Wang; Meghan R. Hutch; Yikuan Li; Adrienne S. Kline; Sebastian Otero; Leena B. Mithal; Emily S. Miller; Andrew Naidech; Yuan Luo 001 (CoRR, 2022)

Multimodal machine learning in precision health: A scoping review. - Adrienne S. Kline; Hanyin Wang; Yikuan Li; Saya R. Dennis; Meghan Hutch; Zhenxing Xu; Fei Wang 001; Feixiong Cheng; Yuan Luo 001 (npj Digit. Medicine, 2022)

IRTCI: Item Response Theory for Categorical Imputation. - Adrienne S. Kline; Yuan Luo 001 (CoRR, 2023)

Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning. - Adrienne S. Kline; Joon Lee (CoRR, 2023)

Medical Image Deidentification, Cleaning and Compression Using Pylogik. - Adrienne S. Kline; Vinesh Appadurai; Yuan Luo 001; Sanjiv J. Shah (CoRR, 2023)

StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. - Hui Lin; Tom Liu; Aggelos K. Katsaggelos; Adrienne S. Kline (CoRR, 2023)

YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. - Tom Liu; Hui Lin; Aggelos K. Katsaggelos; Adrienne S. Kline (CoRR, 2023)

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. - Hanyin Wang; Yikuan Li; Meghan R. Hutch; Adrienne S. Kline; Sebastian Otero; Leena B. Mithal; Emily S. Miller; Andrew Naidech; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)

Transportability of bacterial infection prediction models for critically ill patients. - Garrett Eickelberg; Lazaro Nelson Sanchez-Pinto; Adrienne S. Kline; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)

Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer. - Yongfeng Tao; Minqiang Yang; Yushan Wu; Kevin Lee; Adrienne S. Kline; Bin Hu 001 (Digit. Commun. Networks, 2024)

Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL). - Yuan Luo 001; Luke V. Rasmussen; Andrew Williams 005; Jared Houghtaling; Andrew P. Michelson; Philip R. O. Payne; James J. Cimino; John D. Osborne; Prasanth Nannapaneni; Yikuan Li; Saki Amagai; Meghan Hutch; et al. (Zenodo, 2024)

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. - 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 (J. Imaging Inform. Medicine, 2025)

GeneralizIT: A Python Solution for Generalizability Theory Computations. - Tyler J. Smith; Theresa J. B. Kline; Adrienne S. Kline (SoftwareX, 2025)