2020
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Haley G. Abramson Dan M. Popescu, Rebecca Yu Changxin Lai Julie Shade Katherine Wu Mauro Maggioni Natalia Trayanova K C A Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction Unpublished 2020. Links | BibTeX | Tags: imaging, Machine learning, medical imaging @unpublished{AnatLGECMRInn,
title = {Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction},
author = {Haley G. Abramson, Dan M. Popescu, Rebecca Yu, Changxin Lai, Julie K. Shade, Katherine C. Wu, Mauro Maggioni, Natalia A. Trayanova},
url = {https://arxiv.org/abs/2010.11081},
year = {2020},
date = {2020-10-21},
keywords = {imaging, Machine learning, medical imaging},
pubstate = {published},
tppubtype = {unpublished}
}
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Okada, David Jason Miller; Jonathan Chrispin; Adityo Prakosa; Natalia Trayanova; Steven Jones; Mauro Maggioni; Katherine Wu David R ; C R Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients with Ischemic Cardiomyopathy Journal Article Circulation: Arrhythmia and Electrophysiology, 2020. Links | BibTeX | Tags: imaging, Laplacian eigenfunctions, medical imaging @article{SpatialComplexity1,
title = {Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients with Ischemic Cardiomyopathy},
author = {David Jason Miller; Jonathan Chrispin; Adityo Prakosa; Natalia Trayanova; Steven Jones; Mauro Maggioni; Katherine Wu R ; C David R. Okada},
url = {https://www.ahajournals.org/doi/epub/10.1161/CIRCEP.119.007975},
year = {2020},
date = {2020-01-01},
journal = {Circulation: Arrhythmia and Electrophysiology},
keywords = {imaging, Laplacian eigenfunctions, medical imaging},
pubstate = {published},
tppubtype = {article}
}
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2019
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Murphy, James M; Maggioni, Mauro Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion Journal Article IEEE Transactions on Geoscience and Remote Sensing, 57 (3), pp. 1829-1845, 2019, ISSN: 1558-0644. Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning, Unsupervised Learning @article{8481477,
title = {Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion},
author = {James M Murphy and Mauro Maggioni},
doi = {10.1109/TGRS.2018.2869723},
issn = {1558-0644},
year = {2019},
date = {2019-03-01},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = {57},
number = {3},
pages = {1829-1845},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
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2018
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Murphy, James M; Maggioni, Mauro Iterative Active Learning with Diffusion Geometry for Hyperspectral Images Inproceedings Proc. of WHISPERS, 2018. Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning @inproceedings{whispers2018,
title = {Iterative Active Learning with Diffusion Geometry for Hyperspectral Images},
author = {James M Murphy and Mauro Maggioni},
url = {https://ieeexplore.ieee.org/abstract/document/8747033},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. of WHISPERS},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Murphy, James M; Maggioni, Mauro Diffusion geometric methods for fusion of remotely sensed data Inproceedings Velez-Reyes, Miguel; Messinger, David W (Ed.): Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, pp. 137 – 147, International Society for Optics and Photonics SPIE, 2018. Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning, Unsupervised Learning @inproceedings{10.1117/12.2305274,
title = {Diffusion geometric methods for fusion of remotely sensed data},
author = {James M Murphy and Mauro Maggioni},
editor = {Miguel Velez-Reyes and David W Messinger},
url = {https://doi.org/10.1117/12.2305274},
doi = {10.1117/12.2305274},
year = {2018},
date = {2018-01-01},
booktitle = {Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV},
volume = {10644},
pages = {137 — 147},
publisher = {SPIE},
organization = {International Society for Optics and Photonics},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
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Yin, Rachel; Monson, Eric; Honig, Elisabeth; Daubechies, Ingrid; Maggioni, Mauro Object recognition in art drawings: Transfer of a neural network Inproceedings 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}
}
|
2013
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Gerber, S; Maggioni, Mauro Multiscale dictionaries, transforms, and learning in high-dimensions Inproceedings Proc. SPIE conference Optics and Photonics, 2013. BibTeX | Tags: dictionary learning, imaging, Machine learning, multiscale analysis @inproceedings{GM_MultiscaleDictionariesSPIE,
title = {Multiscale dictionaries, transforms, and learning in high-dimensions},
author = {S Gerber and Mauro Maggioni},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. SPIE conference Optics and Photonics},
keywords = {dictionary learning, imaging, Machine learning, multiscale analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2006
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Maggioni, Mauro; Davis, Gus L; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections Conference 6091 (1), SPIE, San Jose, CA, USA, 2006. BibTeX | Tags: Clustering, hyperspectral imaging, imaging, Machine learning, supervised learning @conference{maggioni:60910I,
title = {Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections},
author = {Mauro Maggioni and Gus L Davis and F J Warner and Frank B Geshwind and Andreas C Coppi and R A DeVerse and Ronald R Coifman},
editor = {Robert R Alfano and Alvin Katz},
year = {2006},
date = {2006-01-01},
journal = {Optical Biopsy VI},
volume = {6091},
number = {1},
pages = {60910I},
publisher = {SPIE},
address = {San Jose, CA, USA},
keywords = {Clustering, hyperspectral imaging, imaging, Machine learning, supervised learning},
pubstate = {published},
tppubtype = {conference}
}
|
2004
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Davis, Gus L; Maggioni, Mauro; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R Hyper-spectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system Miscellaneous Poster, Optical Imaging NIH workshop, to app. in proc., 2004. BibTeX | Tags: hyperspectral imaging, imaging, medical imaging @misc{PathNIH2004,
title = {Hyper-spectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system},
author = {Gus L Davis and Mauro Maggioni and F J Warner and Frank B Geshwind and Andreas C Coppi and R A DeVerse and Ronald R Coifman},
year = {2004},
date = {2004-09-01},
howpublished = {Poster, Optical Imaging NIH workshop, to app. in proc.},
keywords = {hyperspectral imaging, imaging, medical imaging},
pubstate = {published},
tppubtype = {misc}
}
|
Davis, Gus L; Maggioni, Mauro; Coifman, Ronald R; Levinson, R; Rimm, D Spatial-Spectral Analysis of Colon Carcinoma Journal Article Mod. Path., 2004, (In print). BibTeX | Tags: hyperspectral imaging, imaging, medical imaging @article{ModPath:2003,
title = {Spatial-Spectral Analysis of Colon Carcinoma},
author = {Gus L Davis and Mauro Maggioni and Ronald R Coifman and R Levinson and D Rimm},
year = {2004},
date = {2004-01-01},
journal = {Mod. Path.},
note = {In print},
keywords = {hyperspectral imaging, imaging, medical imaging},
pubstate = {published},
tppubtype = {article}
}
|
Davis, Gus L; Maggioni, Mauro; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R Spectral Analysis of normal and Malignant Microarray Tissue Sections using a novel micro-optoelectrialmechanical system Journal Article Mod Pathol, 17 (1:358A), 2004. BibTeX | Tags: hyperspectral imaging, imaging, medical imaging @article{ModPath:2004,
title = {Spectral Analysis of normal and Malignant Microarray Tissue Sections using a novel micro-optoelectrialmechanical system},
author = {Gus L Davis and Mauro Maggioni and F J Warner and Frank B Geshwind and Andreas C Coppi and R A DeVerse and Ronald R Coifman},
year = {2004},
date = {2004-01-01},
journal = {Mod Pathol},
volume = {17},
number = {1:358A},
keywords = {hyperspectral imaging, imaging, medical imaging},
pubstate = {published},
tppubtype = {article}
}
|