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Author: alden dima
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Displaying records 1 to 10 of 22 records.
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1. Image Classification of Vascular Smooth Muscle Cells
Published: 11/11/2010
Authors: Michael Grasso, Ronil Mokashi , Alden A Dima, Antonio Cardone, Kiran Bhadriraju, Anne L Plant, Mary C Brady, Yaacov Yesha, Yelena Yesha
Abstract: The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905981

2. A Conceptual Model for Pervasive Computing
Published: 1/1/2000
Authors: L P Ciarletta, Alden A Dima
Abstract: As an emerging field, pervasive computing has not had the opportunity to develop a conceptual model similar to the OSI Reference Model used to describe computer networks. Such a model would be useful to properly classify issues raised during discussi ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151679

3. A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images
Published: 11/25/2010
Authors: Adele P Peskin, Joe Chalfoun, Alden A Dima, John T Elliott, James J Filliben
Abstract: We have developed a new semi-automated method for segmenting images of biological cells seeded at low density on tissue culture substrates, which we use to improve the generation of reference data for the evaluation of automated segmentation algor ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906723

4. A New Protocol for Semi-Automatic Generation of Reference Data for High Resolution Biological Images
Published: 11/30/2008
Authors: Adele P Peskin, Joe Chalfoun, Alden A Dima, James J Filliben
Abstract: We compare manually segmented masks of cell images that are independently hand-selected by several different people, with a new semi-automated method for estimating reference data for images of cells with very sharp clear edges. By quantifying the la ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=904743

5. A Quality Pre-Processor for Biological Cell Images
Published: 11/30/2009
Authors: Adele P Peskin, Karen Kafadar, Alden A Dima
Abstract: We have developed a method to rapidly test the quality of a biological image, to identify appropriate segmentation methods, if any, that will render high quality segmentations for the cells within that image. The key contribution is the development o ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903070

6. A Win32-based Technique for Finding and Hashing NTFS Alternate Data Streams
Published: 1/24/2007
Author: Alden A Dima
Abstract: As part of an effort to create new datasets for the computer forensic community, the National Software Reference Library created a simple Windows specific tool for internal use similar to md5deep, which is able to recursively walk an NTFS file syste ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=50914

7. An Automated Method for Locating Phantom Nodules in Anthropomorphic Thoracic Phantom CT Studies
Published: 7/19/2012
Authors: Adele P Peskin, Alden A Dima, Ganesh Saiprasad
Abstract: The Cancer Imaging Archive (TCIA) has a publically available FDA database consisting of just over thousand CT scans intended for facilitating the assessment of lung nodule size estimation methodologies, the development of image analysis software, as ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911057

8. Big Data Issues in Quantitative Imaging
Series: OTHER
Published: 8/29/2012
Authors: Mary C Brady, Alden A Dima, Charles D. Fenimore, James J Filliben, John Lu, Adele P Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D Sriram
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911670

9. Comparison of segmentation algorithms for fluorescence microscopy images of cells
Published: 6/14/2011
Authors: Alden A Dima, John T Elliott, James J Filliben, Michael W Halter, Adele P Peskin, Javier Bernal, Marcin Kociolek, Mary C Brady, Hai C. Tang, Anne L Plant
Abstract: Segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions were compared. Significant variability in the results of segmentation was observed that was due solely ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905998

10. Developing an Informatics and Database Infrastructure for Proficiency Testing of Quantitative Imaging Algorithms
Published: 9/23/2011
Author: Alden A Dima
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909535



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