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Title: SQUID-based ULF MRI and Superparamagnetic Relaxometry for Early Cancer Diagnostics

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
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  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1088360
Report Number(s):
LA-UR-13-25435
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
Applied Life Science(60); Basic Biological Sciences(59); Engineering(42); Biological Science

Citation Formats

Matlashov, Andrei N., Magnelind, Per E., Kim, Young Jin, Sandin, Jan Henrik, Espy, Michelle A., Anderson, Aaron S., and Mukundan, Harshini. SQUID-based ULF MRI and Superparamagnetic Relaxometry for Early Cancer Diagnostics. United States: N. p., 2013. Web. doi:10.2172/1088360.
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Matlashov, Andrei N., Magnelind, Per E., Kim, Young Jin, Sandin, Jan Henrik, Espy, Michelle A., Anderson, Aaron S., & Mukundan, Harshini. SQUID-based ULF MRI and Superparamagnetic Relaxometry for Early Cancer Diagnostics. United States. https://doi.org/10.2172/1088360
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Matlashov, Andrei N., Magnelind, Per E., Kim, Young Jin, Sandin, Jan Henrik, Espy, Michelle A., Anderson, Aaron S., and Mukundan, Harshini. 2013. "SQUID-based ULF MRI and Superparamagnetic Relaxometry for Early Cancer Diagnostics". United States. https://doi.org/10.2172/1088360. https://www.osti.gov/servlets/purl/1088360.
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@article{osti_1088360,
title = {SQUID-based ULF MRI and Superparamagnetic Relaxometry for Early Cancer Diagnostics},
author = {Matlashov, Andrei N. and Magnelind, Per E. and Kim, Young Jin and Sandin, Jan Henrik and Espy, Michelle A. and Anderson, Aaron S. and Mukundan, Harshini},
abstractNote = {},
doi = {10.2172/1088360},
url = {https://www.osti.gov/biblio/1088360}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 17 00:00:00 EDT 2013},
month = {Wed Jul 17 00:00:00 EDT 2013}
}
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Technical Report:
View Technical Report (0.14 MB)
https://doi.org/10.2172/1088360
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