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2020 – today
- 2026
[j9]Nafiseh Ghaffar Nia
, Amin Amiri, Yuan Luo, Adrienne S. Kline:
Ethical perspectives on deployment of large language model agents in biomedicine: a survey. AI Ethics 6(1): 32 (2026)- 2025
- [j8]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:
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 38(1): 16-30 (2025) - [j7]Tyler J. Smith, Theresa J. B. Kline, Adrienne S. Kline:
GeneralizIT: A Python Solution for Generalizability Theory Computations. SoftwareX 31: 102235 (2025) - 2024
- [j6]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): 577-585 (2024) - [d1]Yuan Luo, Luke V. Rasmussen, Andrew Williams, Jared Houghtaling, Andrew P. Michelson, Philip R. O. Payne, James J. Cimino, John D. Osborne, Prasanth Nannapaneni, Yikuan Li, Saki Amagai, Meghan Hutch, Jenny Ding, Adrienne S. Kline, Catherine A. Gao, Jason Womack, Rui Zhu, Matthew C. Wyatt, Robert Brown, Snehil Gupta, Nicole Venteris, Aditi Gupta, Weiwei Ma, Ethan Hillis, Patrick Cannon, Marty Alvarez, Justin Starren, Kristi L. Holmes, Matthew B. Carson, Albert M. Lai, Adam B. Wilcox:
Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL). Zenodo, 2024
- 2023
- [j5]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): 923-931 (2023) - [j4]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): 98-108 (2023) - [i7]Adrienne S. Kline, Yuan Luo:
IRTCI: Item Response Theory for Categorical Imputation. CoRR abs/2302.04165 (2023) - [i6]Adrienne S. Kline, Joon Lee:
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning. CoRR abs/2302.04386 (2023) - [i5]Adrienne S. Kline, Vinesh Appadurai, Yuan Luo, Sanjiv J. Shah:
Medical Image Deidentification, Cleaning and Compression Using Pylogik. CoRR abs/2304.12322 (2023) - [i4]Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline:
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. CoRR abs/2310.14961 (2023) - [i3]Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline:
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. CoRR abs/2310.15898 (2023) - 2022
- [j3]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) - [c4]Adrienne S. Kline, Yuan Luo:
PsmPy: A Package for Retrospective Cohort Matching in Python. EMBC 2022: 1354-1357 - [i2]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 abs/2204.04777 (2022) - [i1]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 abs/2207.10641 (2022) - 2021
- [j2]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): 471-482 (2021) - [j1]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) - [c3]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: 2688-2691 - 2020
- [c2]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: 5446-5449 - [c1]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: 5729-5732
Coauthor Index
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