Abstract
Neuroimaging techniques are used to image the structure and function of the nervous system for medicine, psychology, and neuroscience research. Brain data are inherently multidimensional and complex, and the recent advances in neuroimaging allow the acquisition of brain signals at an increasing spatiotemporal resolution. Being able to process the resulting large-scale data and capturing the multiway structure of the brain, tensor-based analyses are well suited for a variety of neuroimaging applications. In this review, we provide a comprehensive overview of successful tensor-based solutions used in the field of neuroimaging discuss practical challenges and the future of tensors in medical technology.
| Original language | English |
|---|---|
| Title of host publication | Tensors for Data Processing |
| Subtitle of host publication | Theory, Methods, and Applications |
| Editors | Yipeng Liu |
| Publisher | Elsevier |
| Chapter | 12 |
| Pages | 427-482 |
| Number of pages | 56 |
| ISBN (Electronic) | 978-0-12-824447-0 |
| ISBN (Print) | 9780323859653 |
| DOIs | |
| Publication status | Published - 2022 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.