Publications

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2020

Dan M. Popescu Haley G. Abramson, Rebecca Yu

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Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction Unpublished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 R ; C David R.

Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients with Ischemic Cardiomyopathy Journal Article

In: 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

In: 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 imaging, imaging

2018

Murphy, James M; Maggioni, Mauro

Iterative Active Learning with Diffusion Geometry for Hyperspectral Images Inproceedings

In: Proc. of WHISPERS, 2018.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning

Murphy, James M; Maggioni, Mauro

Diffusion geometric methods for fusion of remotely sensed data Inproceedings

In: 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 imaging, imaging, Machine learning, Unsupervised Learning

2016

Wang, Yang; Chen, Guangliang; Maggioni, Mauro

High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies Journal Article

In: IEEE Journal of selected topics in applied Earth observations and remote sensing, 9 (9), pp. 4316–4324, 2016.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging

Yin, Rachel; Monson, Eric; Honig, Elisabeth; Daubechies, Ingrid; Maggioni, Mauro

Object recognition in art drawings: Transfer of a neural network Inproceedings

In: Proc. IEEE ICASSP, 2016.

BibTeX | Tags: imaging, Machine learning, neural networks, transfer learning

2015

Maggioni, Mauro Y. Wang; Chen, Guangliang

Enhanced Detection of Chemical Plumes in Hyperspectral Images and Movies through Improved Background Modeling Inproceedings

In: Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging

2013

Gerber, S; Maggioni, Mauro

Multiscale dictionaries, transforms, and learning in high-dimensions Inproceedings

In: 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

Maggioni, Mauro; Warner, F J; Davis, Gus L; Coifman, Ronald R; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A

Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections Technical Report

Yale University Dept. Comp. Sci., (1311), 2004.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning

Davis, Gus L; Maggioni, Mauro; Coifman, Ronald R; Levinson, R; Rimm, D

Spatial-Spectral Analysis of Colon Carcinoma Journal Article

In: 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

In: Mod Pathol, 17 (1:358A), 2004.

BibTeX | Tags: hyperspectral imaging, imaging, medical imaging

Maggioni, Mauro; Warner, F J; Davis, Gus L; Coifman, Ronald R; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A

Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections Journal Article

In: submitted, 2004.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning

Cassidy, Ryan J; Berger, Jim; Maggioni, Mauro; Coifman, Ronald R

Auditory display of hyperspectral colon tissue images using vocal synthesis models Journal Article

In: Proc. 2004 Intern. Con. Auditory Display, 2004.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning