Prof. Eric L. Miller
Assistant Professor at Tufts Univ
SPIE Involvement:
Author | Instructor
Publications (51)

SPIE Journal Paper | 22 December 2023 Open Access
JBO, Vol. 28, Issue 12, 126006, (December 2023)
KEYWORDS: Education and training, Data modeling, Denoising, Tissues, Image quality, Wavelets, Nicotinamide adenine dinucleotide, Mitochondria, Image quality standards, Biopsy

Proceedings Article | 12 April 2021 Presentation
Proceedings Volume 11738, 1173809 (2021)
KEYWORDS: Tomography, Scattering, Radon transform, Monte Carlo methods, Error analysis, Signal attenuation, Detection and tracking algorithms, Computer simulations, Compton scattering

Proceedings Article | 1 May 2017 Presentation + Paper
Abdulla Desmal, Brian Tracey, Hamideh Rezaee, Eric Miller, Jeffrey Schubert, Jeff Denker, Aaron Couture
Proceedings Volume 10187, 1018707 (2017)
KEYWORDS: Tomography, Sensors, Photons, Calibration, Scatter measurement, Data modeling, Signal attenuation, Compton scattering, Scattering, X-rays, Reconstruction algorithms, Computing systems

Proceedings Article | 12 May 2016 Paper
Yaoshen Yuan, Brian Tracey, Eric Miller
Proceedings Volume 9847, 98470V (2016)
KEYWORDS: Signal attenuation, X-ray computed tomography, Sensors, Imaging systems, Metals, Photodetectors, X-rays, Photon counting, Aluminum, Actinium

Proceedings Article | 5 March 2015 Paper
Proceedings Volume 9319, 93191B (2015)
KEYWORDS: Chromophores, Sensors, Data modeling, Optical tomography, Inverse problems, Systems modeling, Image restoration, 3D modeling, Absorption, Mathematical modeling

Showing 5 of 51 publications
Proceedings Volume Editor (6)

SPIE Conference Volume | 2 February 2009

SPIE Conference Volume | 1 April 2008

SPIE Conference Volume | 7 February 2007

SPIE Conference Volume | 2 February 2006

SPIE Conference Volume | 11 March 2005

Showing 5 of 6 publications
Conference Committee Involvement (9)
Computational Imaging XI
5 February 2013 | Burlingame, California, United States
Computational Imaging X
23 January 2012 | Burlingame, California, United States
Computational Imaging VIII
18 January 2010 | San Jose, California, United States
Computational Imaging VII
19 January 2009 | San Jose, California, United States
Computational Imaging VI
28 January 2008 | San Jose, California, United States
Showing 5 of 9 Conference Committees
Course Instructor
SC175: Statistical Signal and Image Processing for Demining
This course presents a unified approach to advanced signal and image processing methods to the problem of buried landmine detection and classification. Deterministic and stochastic processing techniques will be reviewed in depth. Physically based signal models are developed. Examples concentrate on the application of estimation and decision theoretic methods based on these sensor models to demining. Other methods, including fuzzy logic and neural nets are discussed.
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