Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Melissa Lynne Martin"'
Autor:
Alessandra M. Valcarcel, John Muschelli, Dzung L. Pham, Melissa Lynne Martin, Paul Yushkevich, Rachel Brandstadter, Kristina R. Patterson, Matthew K. Schindler, Peter A. Calabresi, Rohit Bakshi, Russell T. Shinohara
Publikováno v:
NeuroImage: Clinical, Vol 27, Iss , Pp 102256- (2020)
Total brain white matter lesion (WML) volume is the most widely established magnetic resonance imaging (MRI) outcome measure in studies of multiple sclerosis (MS). To estimate WML volume, there are a number of automatic segmentation methods available
Externí odkaz:
https://doaj.org/article/863e3019aa1246b9add10f836680b206
Autor:
Alessandra M. Valcarcel, Kristin A. Linn, Fariha Khalid, Simon N. Vandekar, Shahamat Tauhid, Theodore D. Satterthwaite, John Muschelli, Melissa Lynne Martin, Rohit Bakshi, Russell T. Shinohara
Publikováno v:
NeuroImage: Clinical, Vol 20, Iss , Pp 1211-1221 (2018)
Background and purpose: Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) in multiple sclerosis (MS). The most widely established MRI outcome measure is the volume of hyperintense les
Externí odkaz:
https://doaj.org/article/eb0e15610a8b4fe9b647926ce65394a3
Autor:
Igor Makhlin, Katrina Esther Korhonen, Melissa Lynne Martin, Jennifer Gillman, Erin Schubert, Austin Ryan Pantel, David A. Mankoff, Amy S. Clark
Publikováno v:
Radiol Imaging Cancer
Fluorine 18 ((18)F) fluorodeoxyglucose (FDG) PET/CT has shown promise for use in assessing treatment response in patients with bone-only or bone-dominant (BD) metastatic breast cancer (mBC). In this single-institution, prospective single-arm study of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e1561b67a10b3fbc579bdc0de5ea3b
https://europepmc.org/articles/PMC9713595/
https://europepmc.org/articles/PMC9713595/
Autor:
Dushyant Kumar, Russell T. Shinohara, Ravi Prakash Reddy Nanga, Qin Qin, Ravinder Reddy, Dan Zhu, Neil Wilson, Melissa Lynne Martin, Deepa Thakuri, Abigail Cember, Hari Hariharan
Publikováno v:
Magn Reson Med
Purpose Two-dimensional creatine CEST (2D-CrCEST), with a slice thickness of 10-20 mm and temporal resolution (τRes ) of about 30 seconds, has previously been shown to capture the creatine-recovery kinetics in healthy controls and in patients with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b670134d9b4d218350f3dded145733
https://doi.org/10.1002/mrm.28463
https://doi.org/10.1002/mrm.28463
Autor:
Azeez Adebimpe, Kayla Piiwaa, Justin T. Baker, Lyle H. Ungar, Tyler M. Moore, Theodore D. Satterthwaite, Sophia Linguiti, Monica E. Calkins, David R. Roalf, Zaixu Cui, Ellen Leibenluft, Danielle S. Bassett, Tinashe M. Tapera, Kristin Murtha, Melissa A. Brotman, Cedric Huchuan Xia, Melissa Lynne Martin, Ian Barnett, David M. Lydon-Staley, Sage Rush-Goebel, Daniel H. Wolf
Mapping individual differences in behavior is fundamental to personalized neuroscience, but quantifying complex behavior in real world settings remains a challenge. While mobility patterns captured by smartphones have increasingly been linked to a ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca678753f5d9414f01df58b92fca9c7d
https://doi.org/10.21203/rs.3.rs-465623/v1
https://doi.org/10.21203/rs.3.rs-465623/v1
Autor:
Roland G. Henry, Jiwon Oh, Peter A. Calabresi, Daniel S. Reich, Nancy L. Sicotte, David R. Roalf, Rohit Bakshi, M. Elliot, Theodore D. Satterthwaite, William D. Rooney, Govind Nair, R.E. Gur, Nico Papinutto, Ruben C. Gur, Melissa Lynne Martin, William A. Stern, Julia Wrobel, Karthik Prabhakaran, Daniel Pelletier, Jeff Goldsmith, Russell T. Shinohara
Publikováno v:
NeuroImage, Vol 223, Iss, Pp 117242-(2020)
Neuroimage
Neuroimage
In multisite neuroimaging studies there is often unwanted technical variation across scanners and sites. These “scanner effects” can hinder detection of biological features of interest, produce inconsistent results, and lead to spurious associati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46feea43be9eabd5866253bc4d19cdd2
http://www.sciencedirect.com/science/article/pii/S105381192030728X
http://www.sciencedirect.com/science/article/pii/S105381192030728X
Autor:
Rohit Bakshi, John Muschelli, Theodore D. Satterthwaite, Kristin A. Linn, Fariha Khalid, Shahamat Tauhid, Simon N. Vandekar, Melissa Lynne Martin, Russell T. Shinohara, Alessandra M. Valcarcel
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 20, Iss, Pp 1211-1221 (2018)
NeuroImage: Clinical, Vol 20, Iss, Pp 1211-1221 (2018)
Background and purpose Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) in multiple sclerosis (MS). The most widely established MRI outcome measure is the volume of hyperintense lesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f110313ce0ff27620b6493e06a7c13d
http://europepmc.org/articles/PMC6224321
http://europepmc.org/articles/PMC6224321
MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions
Autor:
Peter A. Calabresi, Melissa Lynne Martin, Simon N. Vandekar, Russell T. Shinohara, Alessandra M. Valcarcel, Kristin A. Linn, Theodore D. Satterthwaite, John Muschelli, Dzung L. Pham
Publikováno v:
Journal of Neuroimaging. 28:389-398
Background and purpose Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WMLs) in multiple sclerosis. While WMLs have been studied for over two decades using MRI, automated segmentation re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320aea3daf48d874281a6f2ac4370578
https://doi.org/10.1111/jon.12506
https://doi.org/10.1111/jon.12506
Autor:
Russell T. Shinohara, Alessandra M. Valcarcel, Dzung L. Pham, Peter A. Calabresi, Rachel Brandstadter, Melissa Lynne Martin, Rohit Bakshi, John Muschelli, Kristina R. Patterson, Matthew K. Schindler, Paul A. Yushkevich
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 27, Iss, Pp 102256-(2020)
NeuroImage: Clinical, Vol 27, Iss, Pp 102256-(2020)
Total brain white matter lesion (WML) volume is the most widely established magnetic resonance imaging (MRI) outcome measure in studies of multiple sclerosis (MS). To estimate WML volume, there are a number of automatic segmentation methods available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd643c3b71f1d33bad8d033941f668da
https://pubmed.ncbi.nlm.nih.gov/32428847
https://pubmed.ncbi.nlm.nih.gov/32428847
Autor:
Melissa Lynne Martin, Paul A. Yushkevich, Dzung L. Pham, Peter A. Calabresi, Russell T. Shinohara, Alessandra M. Valcarcel, Rohit Bakshi, John Muschelli
Total brain white matter lesion (WML) volume is the most widely established magnetic resonance imaging (MRI) outcome measure in studies of multiple sclerosis (MS). To estimate WML volume, there are a number of automatic segmentation methods, yet, man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dbef5b8108152d536400ee99810a0fc