Carolyna A. P. Yamamoto

According to our database, Carolyna A. P. Yamamoto authored at least 4 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage.

Kensuke Sakata, Carolyna A. P. Yamamoto, Adityo Prakosa, Brock Tice, Syed Yusuf Ali, Shane E. Loeffler, Eugene G. Kholmovski, Sunil Kumar Sinha, Joseph E. Marine, Hugh Calkins, David D. Spragg, Natalia A. Trayanova

npj Digit. Medicine, 2025

2024

Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains.

Shane E. Loeffler, Zan Ahmad, Syed Yusuf Ali, Carolyna A. P. Yamamoto, Dan M. Popescu, Alana Yee, Yash Lal, Natalia A. Trayanova, Mauro Maggioni

CoRR, 2024

SegBAW-Net: Segmentation of Bi-Atria and Wall Network Offering Valuable Insights into Challenge Data.

Arthur L. Lefebvre, Ishan Vatsaraj, Carolyna A. P. Yamamoto, Kensuke Sakata, Brock Tice, Natalia A. Trayanova, Eugene G. Kholmovski

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

2022

LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification.

Arthur L. Lefebvre, Carolyna A. P. Yamamoto, Julie K. Shade, Ryan P. Bradley, Rebecca Yu, Rheeda L. Ali, Dan M. Popescu, Adityo Prakosa, Eugene G. Kholmovski, Natalia A. Trayanova

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022