A. Kline, DCZNMaker: A Web-based Application for Multi-Attribute Utilities Analysis, ArXiv, 2024, read the paper
C. Rane, K. Tyagi, A. Kline, M. Manry, Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions, Evolutionary Intelligence, 2024, read the paper
Nedadur, Rashmi, Nitish Bhatt, Tom Lui, Michael WA Chu, Patrick M. McCarthy, and Adrienne Kline. The Emerging and Important Role of Artificial Intelligence in Cardiac Surgery. Canadian Journal of Cardiology (2024)., read the paper
B. Slostad, V. Appadurai, A. Narang, S. Hale, S. Lehrer, A. Bavishi, A. Kline, I. Okwuosa, M. Jankowski, R. Weinberg, M. Kansal, J. Thomas, S. Shah, Novel echocardiographic pixel intensity quantification method for differentiating transthyretin cardiac amyloidosis from light chain cardiac amyloidosis and other phenocopies, European Heart Journal-Cardiovascular Imaging, 2024, read the paper
T. Liu, H. Lin, A. Katsaggelos, A. Kline, YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation, MICCAI 2023, read the paper
H. Lin, T. Liu, A. Katsaggelos, A. Kline, StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography, MICCAI 2023, read the paper
Y. Tao, M. Yang, Y. Wu, K. Lee, A. Kline, B. Hu, Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer, Digital Communications and Networks, 2023, read the paper
Kline, A., Wang, H., Li, Y. et al. Multimodal machine learning in precision health: A scoping review. npj Digit. Med. 5, 171 (2022). read the paper
A. Kline and Y. Luo, PsmPy: A Package for Retrospective Cohort Matching in Python, IEEE Engineering in Medicine & Biology Society (EMBC), 2022, read the paper