Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Justin A. Blaber"'
Autor:
Cailey I. Kerley, Xuan Wang, François Rheault, Bennett A. Landman, Lori L. Beason-Held, Roza G. Bayrak, Colin B. Hansen, Jasmine M. Greer, Lucas W. Remedios, Baxter P. Rogers, Susan M. Resnick, Justin A. Blaber, Owen A. Williams, Karthik Ramadass, Kurt G. Schilling
Publikováno v:
Magn Reson Imaging
Reproducible identification of white matter pathways across subjects is essential for the study of structural connectivity of the human brain. One of the key challenges is anatomical differences between subjects and human rater subjectivity in labeli
Autor:
Lipeng Ning, Bennett A. Landman, Justin A. Blaber, Yuankai Huo, Can Son Khoo, Farshid Sepehrband, Daniel Moyer, Jaume Coll-Font, Jacques-Donald Tournier, Greg D. Parker, Andrey Zhylka, Umesh S. Rudrapatna, Iasonas Kokkinos, Benoit Scherrer, Stefano B. Blumberg, Vishwesh Nath, Dorit Merhof, Enrico Kaden, Daniel C. Alexander, Derek K. Jones, Marco Palombo, Josien P. W. Pluim, Simon Koppers, Chantal M. W. Tax, Suheyla Cetin Karayumak, Leon Weninger, Francesco Grussu, Elisenda Bonet-Carne, Kurt G. Schilling, Simon K. Warfield, Cyril Charron, Yogesh Rathi, Jelle Veraart, Rui Pedro A. G. Teixeira, Colin B. Hansen, John Evans, Julia Ebert, Daan Christiaens, Maximilian Pietsch
Publikováno v:
NeuroImage : a journal of brain function 221, 11712 (2020). doi:10.1016/j.neuroimage.2020.117128
Neuroimage, 221:117128. Academic Press Inc.
NeuroImage, Vol 221, Iss, Pp 117128-(2020)
Neuroimage, 221:117128. Academic Press Inc.
NeuroImage, Vol 221, Iss, Pp 117128-(2020)
NeuroImage : a journal of brain function 221, 11712 (2020). doi:10.1016/j.neuroimage.2020.117128
Published by Academic Press, Orlando, Fla.
Published by Academic Press, Orlando, Fla.
Autor:
Kurt G. Schilling, Colin B. Hansen, Carlo Pierpaoli, Vishwesh Nath, Adam W. Anderson, Alan S. Barnett, Justin A. Blaber, Baxter P. Rogers, Bennett A. Landman, Okan Irfanoglu
Publikováno v:
Magn Reson Imaging
BackgroundAchieving inter-site / inter-scanner reproducibility of diffusion weighted magnetic resonance imaging (DW-MRI) metrics has been challenging given differences in acquisition protocols, analysis models, and hardware factors.PurposeMagnetic fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ea43531c4b3bd92fdb10a4011f2a8f
https://doi.org/10.1101/2020.05.18.102558
https://doi.org/10.1101/2020.05.18.102558
Autor:
Justin A. Blaber, Yuankai Huo, Yurui Gao, Samuel Remedios, Bennett A. Landman, Vishwesh Nath, Kurt G. Schilling, Roza G. Bayrak, Adam W. Anderson
Publikováno v:
ISBI
Histological analysis is typically the gold standard for validating measures of tissue microstructure derived from magnetic resonance imaging (MRI) contrasts. However, most histological investigations are inherently 2-dimensional (2D), due to increas
Autor:
Samuel Remedios, Maureen McHugo, Catherine Lebel, Stephan Heckers, Bennett A. Landman, Justin A. Blaber, Yuankai Huo, Camilo Bermudez, Jess E. Reynolds
Publikováno v:
Medical Imaging: Image Processing
Generalizability is an important problem in deep neural networks, especially in the context of the variability of data acquisition in clinical magnetic resonance imaging (MRI). Recently, the Spatially Localized Atlas Network Tiles (SLANT) approach ha
Autor:
Baxter P. Rogers, David H. Zald, Bennett A. Landman, Colin B. Hansen, Adam W. Anderson, Andrea T. Shafer, Seth A. Smith, Susan M. Resnick, Justin A. Blaber, Praitayini Kanakaraj, Neil D. Woodward, Laurie E. Cutting, Tonia S. Rex, Kurt G. Schilling, Leon Y. Cai
Diffusion magnetic resonance images may suffer from geometric distortions due to susceptibility induced off resonance fields, which cause geometric mismatch with anatomical images and ultimately affect subsequent quantification of microstructural or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff132e4148cfeb6e06a1f8232b0519a0
https://doi.org/10.1101/2020.01.19.911784
https://doi.org/10.1101/2020.01.19.911784
Autor:
Vishwesh Nath, Yuanjing Feng, Arthur W. Toga, Matt Rowe, Michael Paquette, Prasanna Parvathaneni, Wei Sun, Paulo Rodrigues, Allison E. Hainline, Enrico Kaden, Catherine Lebel, David Romascano, William A. Parker, Yonggang Shi, Hakmook Kang, Peter Neher, Yuankai Huo, Allen T. Newton, Tim B. Dyrby, Giovanni Savini, Muhamed Barakovic, Gabriel Girard, V. Prckovska, Abdol Aziz Ould Ismail, Klaus H. Maier-Hein, Alessandro Daducci, Bennett A. Landman, Jasmeen Sidhu, Fulvia Palesi, Alexander Leemans, Maxime Descoteaux, Justin A. Blaber, Jakob Wasserthal, Jonathan Rafael-Patino, Matteo Frigo, Jean-Philippe Thiran, Ryan P. Cabeen, Kurt G. Schilling, François Rheault, Ye Wu, Jianzhong He, Ragini Verma, Dogu Baran Aydogan
Publikováno v:
J Magn Reson Imaging
BACKGROUND Fiber tracking with diffusion-weighted MRI has become an essential tool for estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the choice of processing method and tracking criteria. PURPOSE To asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f485984e9de676210c6f01f0d5317daa
http://hdl.handle.net/11562/1033639
http://hdl.handle.net/11562/1033639
Autor:
Justin A. Blaber, Yurui Gao, Muwei Li, Adam W. Anderson, John C. Gore, Tung-Lin Wu, Zhaohua Ding, Kurt G. Schilling, Bennett A. Landman
Publikováno v:
Magnetic Resonance in Medicine. 81:2011-2024
Purpose Functional magnetic resonance imaging with BOLD contrast is widely used for detecting brain activity in the cortex. Recently, several studies have described anisotropic correlations of resting-state BOLD signals between voxels in white matter
Autor:
Prasanna Parvathaneni, Ed Mojahed, Allison E. Hainline, Justin A. Blaber, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Vishwesh Nath
Publikováno v:
Magnetic Resonance Imaging. 50:96-109
Neurite Orientation Dispersion and Density Imaging (NODDI) has been gaining prominence for estimating multiple diffusion compartments from MRI data acquired in a clinically feasible time. To establish a pathway for adoption of NODDI in clinical studi
Autor:
Hakmook Kang, Allison E. Hainline, Adam W. Anderson, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Bennett A. Landman, Kurt G. Schilling
Publikováno v:
Magnetic Resonance in Medicine. 80:1666-1675
PURPOSE The bias and variance of high angular resolution diffusion imaging methods have not been thoroughly explored in the literature and may benefit from the simulation extrapolation (SIMEX) and bootstrap techniques to estimate bias and variance of