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 language | English |
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Title of host publication | Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 |
Editors | Yufei Huang, Lukasz Kurgan, Feng Luo, Xiaohua Tony Hu, Yidong Chen, Edward Dougherty, Andrzej Kloczkowski, Yaohang Li |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1655-1657 |
Number of pages | 3 |
ISBN (Electronic) | 9781665401265 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 - Virtual, Online, United States Duration: 2021 Dec 9 → 2021 Dec 12 |
Publication series
Name | Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 |
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Conference
Conference | 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 21/12/9 → 21/12/12 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT Data used in the preparation of this work were obtained from the NIMH’s Lab of Brain and Cognition (LBC; Principal Investigators: Javier Gonzalez-Castillo, Peter A. Bandettini). LBC funding was provided by the National Institute of Mental Health, Division of Intramural Research Programs (NIMH DIRP).
Publisher Copyright:
© 2021 IEEE.
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