Publications

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2024

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

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

2024.

Abstract | Links | BibTeX | Tags: digital twins, Laplacian eigenfunctions, neural networks, PDEs, precision medicine

Yin, Minglang; Charon, Nicolas; Brody, Ryan; Lu, Lu; Trayanova, Natalia; Maggioni, Mauro

A scalable framework for learning the geometry-dependent solution operators of partial differential equations Journal Article

In: Nature Computational Science, 2024.

Abstract | Links | BibTeX | Tags: digital twins, Machine learning, model reduction, neural networks, PDEs, precision medicine

2022

Popescu, Dan M.; Shade, Julie K.; Lai, Changxin; Aronis, Konstantinos N.; David Ouyang,; Moorthy, M. Vinayaga; Cook, Nancy R.; Lee, Daniel C.; Kadish, Alan; Albert, Christine M.; Wu, Katherine C.; Maggioni, Mauro; Trayanova, Natalia A.

Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart Journal Article

In: Nature Cardiovascular Research, 2022.

Links | BibTeX | Tags: digital twins, Machine learning, medical imaging, neural networks, precision medicine

2021

Abramson, Haley G.; Popescu, Dan M.; Yu, Rebecca; Lai, Changxin; Shade, Julie K.; Wu, Katherine C.; Maggioni, Mauro; Trayanova, Natalia A.

Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction Journal Article

In: Cardiovascular Digital Health Journal, 2021.

Links | BibTeX | Tags: digital twins, imaging, Machine learning, medical imaging

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