2024
Yin, Minglang; Charon, Nicolas; Brody, Ryan; Lu, Lu; Trayanova, Natalia; Maggioni, Mauro
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains Journal Article
In: arXiv, 2024.
Links | BibTeX | Tags: Machine learning, neural networks, PDEs, precision medicine
@article{DIMON2024,
title = {DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains},
author = {Minglang Yin and Nicolas Charon and Ryan Brody and Lu Lu and Natalia Trayanova and Mauro Maggioni},
url = {https://arxiv.org/pdf/2402.07250.pdf},
year = {2024},
date = {2024-02-13},
urldate = {2024-02-13},
journal = {arXiv},
keywords = {Machine learning, neural networks, PDEs, precision medicine},
pubstate = {published},
tppubtype = {article}
}
2023
Yin, Minglang; Lu, Lu; Maggioni, Mauro; Trayanova, Natalia A.
A novel deep learning model for patient-specific computational modeling of cardiac electrophysiology Miscellaneous
HeartRhythm, 2023.
Abstract | Links | BibTeX | Tags: Machine learning, neural networks, precision medicine
@misc{Yin0000,
title = {A novel deep learning model for patient-specific computational modeling of cardiac electrophysiology},
author = {Minglang Yin and Lu Lu and Mauro Maggioni and Natalia A. Trayanova},
doi = {https://doi.org/10.1016/j.hrthm.2023.03.530},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-01},
abstract = {We develop a novel approach to modeling patient-specific cardiac electrophysiology, which utilizes, at a much-reduced cost, deep learning in lieu of solving the equations for electrical wave propagation.},
howpublished = {HeartRhythm},
keywords = {Machine learning, neural networks, precision medicine},
pubstate = {published},
tppubtype = {misc}
}
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: Machine learning, medical imaging, neural networks, precision medicine
@article{SCDsurvival1,
title = {Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart},
author = {Dan M. Popescu and Julie K. Shade and Changxin Lai and Konstantinos N. Aronis and David Ouyang, and M. Vinayaga Moorthy and Nancy R. Cook and Daniel C. Lee and Alan Kadish and Christine M. Albert and Katherine C. Wu and Mauro Maggioni and Natalia A. Trayanova
},
url = {https://rdcu.be/cKSAl},
doi = {10.1038/s44161-022-00041-9},
year = {2022},
date = {2022-03-07},
urldate = {2022-03-07},
journal = {Nature Cardiovascular Research},
keywords = {Machine learning, medical imaging, neural networks, precision medicine},
pubstate = {published},
tppubtype = {article}
}
2016
Yin, Rachel; Monson, Eric; Honig, Elisabeth; Daubechies, Ingrid; Maggioni, Mauro
Object recognition in art drawings: Transfer of a neural network Proceedings Article
In: Proc. IEEE ICASSP, 2016.
BibTeX | Tags: imaging, Machine learning, neural networks, transfer learning
@inproceedings{YinArtDrawings,
title = {Object recognition in art drawings: Transfer of a neural network},
author = {Rachel Yin and Eric Monson and Elisabeth Honig and Ingrid Daubechies and Mauro Maggioni},
year = {2016},
date = {2016-01-01},
booktitle = {Proc. IEEE ICASSP},
keywords = {imaging, Machine learning, neural networks, transfer learning},
pubstate = {published},
tppubtype = {inproceedings}
}
- Lectures at Summer School at Peking University, July 2017.
- PCMI Lectures, Summer 2016: Lecture 1, Lecture 2, Problems/discussion points
- Google Scholar
- Papers on the ArXiv
- Papers on MathsciNet
- Tutorials on diffusion geometry and multiscale analysis on graphs at the MRA Internet Program at IPAM: Part I and Part II.
- Diffusion Geometries, Diffusion Wavelets and Harmonic Analysis of large data sets, IPAM, Multiscale Geometric Analysis Program, Fall 2004.
- Diffusion Geometries, global and multiscale, IPAM, 2005.