BECA

fMRI and Diseases Analysis

The fMRI and Diseases Analysis version of BECA includes:

  • fMRI Data Visualization
  • Multi-disease Data Visualization
  • Tractography Visualization
  • Gray Matter & Parcellation Visualization
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Documentation

BECA

Genome Explorer

The Genome Explorer version of BECA includes:

  • Genome Explorer
    • Identify SNP-QT or Gene-QT associations with Data Mining Strategies Running on GPUs
    • Visualize Associations in Both Genomic and Brain Image Spaces
    • Real-time Interaction
  • A Relevant Imaging Genomic Browser
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Documentation

Videos

Fiber Visualization

Gray Matter Visualization

Spherical Volume Rendering

Genome Explorer

Relevant Publications

Zigon B, Li H, Yao X, Fang S, Hasan MA, Yan J, Moore JH, Saykin AJ, Shen L, for the ADNI. (2018) GPU accelerated browser for neuroimaging genomics. Neuroinformatics, 16(3-4):393-402. https://doi.org/10.1007/s12021-018-9376-y

Li H, Fang S, Mukhopadhyay S, Saykin A, Shen L. (2018) Interactive machine learning by visualization: A small data solution. HMData’18: The 2nd IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData. Seattle, WA, December 10, 2018. https://doi.org/10.1109/BigData.2018.8621952

Li H, Fang S, Contreras JA, West JD, Risacher SL, Wang Y, Sporns O, Saykin AJ, Goni J, Shen L, for the Alzheimer’s Disease Neuroimaging Initiative. (2017) Brain explorer for connectomic analysis. Brain Informatics, 4:253–269. https://doi.org/10.1007/s40708-017-0071-9

Li H, Fang S, Zigon B, Sporns O, Saykin AJ, Goñi J, Shen L. (2017) BECA: A Software Tool for Integrated Visualization of Human Brain Data. In: Zeng Y, He Y, Kotaleski JH, Martone M, Xu B, Peng H, et al., editors. Brain Informatics: International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings. Cham: Springer International Publishing; 2017. p. 285-91. https://doi.org/10.1007/978-3-319-70772-3_27

Wang J, Fang S, Li H, Goñi J, Saykin AJ, Shen L. Multigraph visualization for feature classification of brain network data. (2016) In: Sedlmair NAaM, editor. EuroVA’16: EuroVis Workshop on Visual Analytics. Groningen, the Netherlands: The Eurographics Association; 2016. p. 61-65. http://dx.doi.org/10.2312/eurova.20161126

Li H, Fang S, Goni J, Contreras JA, Liang Y, Cai C, West JD, Risacher SL, Wang Y, Sporns O, Saykin AJ, Shen L, for the ADNI. (2015) Integrated visualization of human brain connectome data. BIH 2015 Special Session on Neuroimaging Data Analysis and Applications, Lecture Notes in Artificial Intelligence, 9250:295-305, London, UK, 30 August - 2 September 2015. https://doi.org/10.1007/978-3-319-23344-4_29