Publications

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2020

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Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction Unpublished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

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

2019

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

2018

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

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

2016

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

2013

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

2006

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

2004

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

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

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

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