Analysis of Brain fMRI Data via Topological Data Clustering Method IoPS

Taekgeun Jung, Hong Seo Ryoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Topological Data Analysis is a machine learning technique that has lately gained traction in bioinformatics research. With mathematical clarity and efficiency, our clustering algorithm IoPS topologically constructs clusters from data. We uses IoPS to analyze CMP (Continuous Multitask Paradigm) data which is the fMRI of 18 people's brain while they performed some tasks. The brain ROIs that are commonly or distinctly activated for various tasks are clearly identified using our method.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
EditorsYufei Huang, Lukasz Kurgan, Feng Luo, Xiaohua Tony Hu, Yidong Chen, Edward Dougherty, Andrzej Kloczkowski, Yaohang Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1655-1657
Number of pages3
ISBN (Electronic)9781665401265
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 - Virtual, Online, United States
Duration: 2021 Dec 92021 Dec 12

Publication series

NameProceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

Conference

Conference2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/12/921/12/12

Keywords

  • Biomedical Image Analysis
  • Brain fMRI
  • Interval of Persistent Structure
  • Topological Data Analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Health Informatics
  • Information Systems and Management

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