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RSC Advances
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July 11, 2025
Nonlinear light absorption in Ti<sub>3</sub>C<sub>2</sub>T <sub><i>x</i></sub> MXene: a theoretical study
Hayk Minassian, Armen Melikyan, Manuel Rodrigues Gonçalves, et al.
Nanotechnology
|
June 21, 2024
Ti<sub>3</sub>C<sub>2</sub>T<sub></sub>MXene as surface-enhanced Raman scattering substrate
Hayk Minassian, Armen Melikyan, Manuel Rodrigues Goncalves, et al.
Frontiers in Neuroinformatics
|
May 6, 2014
High-throughput neuroimaging-genetics computational infrastructure
Ivo D Dinov, Petros Petrosyan, Zhizhong Liu, et al.
Brain Imaging and Behavior
|
February 11, 2015
Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment
Carinna M Torgerson, Catherine Quinn, Ivo Dinov, et al.
Frontiers in Neuroinformatics
|
August 4, 2009
Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline
Ivo D Dinov, John D Van Horn, Kamen M Lozev, et al.
Plos One
|
October 8, 2010
Neuroimaging study designs, computational analyses and data provenance using the LONI pipeline
Ivo Dinov, Kamen Lozev, Petros Petrosyan, et al.
BMC Bioinformatics
|
July 28, 2011
Applications of the pipeline environment for visual informatics and genomics computations
Ivo D Dinov, Federica Torri, Fabio Macciardi, et al.
Genes
|
November 10, 2012
Next generation sequence analysis and computational genomics using graphical pipeline workflows
Federica Torri, Ivo D Dinov, Alen Zamanyan, et al.
Brain Imaging and Behavior
|
August 27, 2013
The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools
Ivo D Dinov, Petros Petrosyan, Zhizhong Liu, et al.
Frontiers in Neuroinformatics
|
September 27, 2019
The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data
Hosung Kim, Andrei Irimia, Samuel M Hobel, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
RSC Advances
|
July 11, 2025
Nonlinear light absorption in Ti<sub>3</sub>C<sub>2</sub>T <sub><i>x</i></sub> MXene: a theoretical study
Hayk Minassian, Armen Melikyan, Manuel Rodrigues Gonçalves, et al.
Nanotechnology
|
June 21, 2024
Ti<sub>3</sub>C<sub>2</sub>T<sub></sub>MXene as surface-enhanced Raman scattering substrate
Hayk Minassian, Armen Melikyan, Manuel Rodrigues Goncalves, et al.
Frontiers in Neuroinformatics
|
May 6, 2014
High-throughput neuroimaging-genetics computational infrastructure
Ivo D Dinov, Petros Petrosyan, Zhizhong Liu, et al.
Brain Imaging and Behavior
|
February 11, 2015
Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment
Carinna M Torgerson, Catherine Quinn, Ivo Dinov, et al.
Frontiers in Neuroinformatics
|
August 4, 2009
Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline
Ivo D Dinov, John D Van Horn, Kamen M Lozev, et al.
Plos One
|
October 8, 2010
Neuroimaging study designs, computational analyses and data provenance using the LONI pipeline
Ivo Dinov, Kamen Lozev, Petros Petrosyan, et al.
BMC Bioinformatics
|
July 28, 2011
Applications of the pipeline environment for visual informatics and genomics computations
Ivo D Dinov, Federica Torri, Fabio Macciardi, et al.
Genes
|
November 10, 2012
Next generation sequence analysis and computational genomics using graphical pipeline workflows
Federica Torri, Ivo D Dinov, Alen Zamanyan, et al.
Brain Imaging and Behavior
|
August 27, 2013
The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools
Ivo D Dinov, Petros Petrosyan, Zhizhong Liu, et al.
Frontiers in Neuroinformatics
|
September 27, 2019
The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data
Hosung Kim, Andrei Irimia, Samuel M Hobel, et al.
Page
of 1