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Search Publications by: Alden A. Dima (Fed)

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Displaying 26 - 50 of 90

An Informatics Infrastructure for the Materials Genome Initiative

July 6, 2016
Author(s)
Alden A. Dima, Sunil K. Bhaskarla, Chandler A. Becker, Mary C. Brady, Carelyn E. Campbell, Philippe J. Dessauw, Robert J. Hanisch, Ursula R. Kattner, Kenneth G. Kroenlein, Adele P. Peskin, Raymond L. Plante, Guillaume Sousa Amaral, Zachary T. Trautt, James A. Warren, Sharief S. Youssef, Sheng Yen Li, Pierre Francois Rigodiat, Marcus W. Newrock
A materials data infrastructure that enables the sharing and transformation of a wide range of materials data is an essential part of achieving the goals of the Materials Genome Initiative. We describe two high-level requirements of such an infrastructure

Shape Descriptors Comparison for Cell Tracking

October 15, 2015
Author(s)
Michael P. Majurski, Christopher Zheng, Joe Chalfoun, Alden A. Dima, Mary C. Brady
New microscope technologies are enabling the acquisition of large volumes of live cell image data. Accurate temporal object tracking is required to facilitate the analysis of this data. One principle component of cell tracking is correspondence, matching

Evaluation of Low-Contrast Detectability of Iterative Reconstruction across Multiple Institutions, CT Scanner Manufacturers, and Radiation Exposure Levels

February 19, 2015
Author(s)
Adele P. Peskin, Ganesh Saiprasad, James J. Filliben, Alden A. Dima
Purpose: To evaluate the impact of Iterative Reconstruction (IR) compared with Filtered Back Projection (FBP) using low-contrast objects in phantom images across vendors and exposure levels. Materials and Methods: Randomized repeat scans of the Gammex 464

Structural Materials Data Demonstration Project: Resource for Thermal Process Modeling

July 1, 2014
Author(s)
Carelyn E. Campbell, Ursula R. Kattner, Alden A. Dima, Scott Henry, Larry A. Berardinis, Tom Searles, Laura M. Bartolo
Integrated Computational Materials Engineering (ICME)requires the availability of supporting data for modeling across multiple length scales. It also requires robust data schema and input-output protocols. To address these needs, a team working under a

Segmenting Time-lapse Phase Contrast Images of Adjacent NIH 3T3 Cells

January 15, 2013
Author(s)
Joe Chalfoun, Alden A. Dima, Marcin Kociolek, Michael W. Halter, Antonio Cardone, Adele P. Peskin, Peter Bajcsy, Mary C. Brady
We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are in contact. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting

Big Data Issues in Quantitative Imaging

August 29, 2012
Author(s)
Mary C. Brady, Alden A. Dima, Charles D. Fenimore, James J. Filliben, John Lu, Adele Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D. Sriram