LONIR provides training for a wide spectrum of investigators including colleagues across the country, postdoctoral fellows, graduate and undergraduate students, as well as high school students. Trainees from different disciplines learn the theory and applications of LONIR tools, their advantages, limitations, assumptions and best practices. A variety of local and national workshops and conferences showcasing the LONIR activities provide mechanisms to attract and train investigators on the new tools and techniques developed by LONIR. Examples of LONIR training activities include training workshops, conference symposia and presentations, LONI Presents series, special interest group (SIG) meetings, (undergraduate and graduate) courses, students and postdoctoral trainees, and visiting scientists. LONIR dissemination includes traditional printed materials, such as books and journals, presentations, and video materials, such as DVDs and media coverage. In addition, we use Web2.0 technologies to facilitate an interactive bi-directional dissemination paradigm where users and virtual communities can access computational expertise and add, amend and offer their own knowledge. Examples of such dissemination mechanisms include the LONIR web-services like Try-lt-Now (platform agnostic Pipeline Web-Start application), segmentation validation engine and iTools, web-resources like the Imaging Data Archive, and asynchronous Forum and user-support services.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015922-20
Application #
9480210
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40)P)
Program Officer
Pai, Vinay Manjunath
Project Start
Project End
2018-05-31
Budget Start
2017-02-01
Budget End
2018-01-31
Support Year
20
Fiscal Year
2017
Total Cost
$208,937
Indirect Cost
$81,221
Name
University of Southern California
Department
Type
Domestic Higher Education
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90033
Kim, Hosung; Caldairou, Benoit; Bernasconi, Andrea et al. (2018) Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Front Neuroinform 12:39
Duncan, Dominique; Vespa, Paul; Toga, Arthur W (2018) DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS. Discrete Continuous Dyn Syst Ser B 23:161-172
Azevedo, Christina J; Cen, Steven Y; Khadka, Sankalpa et al. (2018) Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease. Ann Neurol 83:223-234
Ning, Kaida; Chen, Bo; Sun, Fengzhu et al. (2018) Classifying Alzheimer's disease with brain imaging and genetic data using a neural network framework. Neurobiol Aging 68:151-158
Coletti, Amanda M; Singh, Deepinder; Kumar, Saurabh et al. (2018) Characterization of the ventricular-subventricular stem cell niche during human brain development. Development 145:
Aydogan, Dogu Baran; Jacobs, Russell; Dulawa, Stephanie et al. (2018) When tractography meets tracer injections: a systematic study of trends and variation sources of diffusion-based connectivity. Brain Struct Funct 223:2841-2858
Gahm, Jin Kyu; Shi, Yonggang; Alzheimer’s Disease Neuroimaging Initiative (2018) Riemannian metric optimization on surfaces (RMOS) for intrinsic brain mapping in the Laplace-Beltrami embedding space. Med Image Anal 46:189-201
Sepehrband, Farshid; Lynch, Kirsten M; Cabeen, Ryan P et al. (2018) Neuroanatomical morphometric characterization of sex differences in youth using statistical learning. Neuroimage 172:217-227
Tang, Yuchun; Sun, Wei; Toga, Arthur W et al. (2018) A probabilistic atlas of human brainstem pathways based on connectome imaging data. Neuroimage 169:227-239
Li, Junning; Gahm, Jin Kyu; Shi, Yonggang et al. (2018) Topological false discovery rates for brain mapping based on signal height. Neuroimage 167:478-487

Showing the most recent 10 out of 273 publications