Multi-level subspace analysis with applications to neuroimaging

Rogers F. Silva

doi:10.1117/12.2677898

28 September 2023 Multi-level subspace analysis with applications to neuroimaging

Rogers F. Silva

Proceedings Volume 12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; 1265509 (2023) https://doi.org/10.1117/12.2677898
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

Artificial intelligence and machine learning (AI/ML) are paving the way to help unravel the complexities of the human brain and shed light on the underpinnings of atypical behaviors. This is critical for early detection of mental illnesses and personalized treatment prescription. Here, key AI/ML strategies to leverage the richness of brain data are discussed, including multimodal fusion, multidimensional and deep latent representations, as well as multi-level linkage detection. Each of these is presented through a general overarching concept of subspaces. Examples from original research and the brain imaging field at large illustrate the application of each strategy to brain data from multiple modalities. Markedly, these approaches tackle challenges that extend readily to other fields outside of brain imaging.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rogers F. Silva "Multi-level subspace analysis with applications to neuroimaging", Proc. SPIE 12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, 1265509 (28 September 2023); https://doi.org/10.1117/12.2677898

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