会议论文

Nagarajan, SS

英文

International Symposium on Biomedical Imaging. Proceedings

1945-7928

2023

20th IEEE International Symposium on Biomedical Imaging (ISBI)

IEEE International Symposium on Biomedical Imaging

APR 18-21, 2023

Cartagena, COLOMBIA

[Ghosh, Sanjay;Gao, Yijing;Raj, Ashish;Nagarajan, Srikantan S.] Univ Calif San Francisco, San Francisco, CA 94143 USA.^[Cai, Chang] Cent China Normal Univ, Wuhan, Peoples R China.^[Hashemi, Ali;Haufe, Stefan] Tech Univ Berlin, Berlin, Germany.^[Sekihara, Kensuke] Signal Anal Inc, Tokyo, Japan.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-6654-7358-3

10.1109/ISBI53787.2023.10230330

NIH

本校为其他机构

The inverse problem in brain source imaging is the reconstruction of brain activity from non-invasive recordings of electroencephalography (EEG) and magnetoencephalography (MEG). One key challenge is the efficient recovery of sparse brain activity when the data is corrupted by structured noise that is low-rank noise. This is often the case when there are a few active sources of environmental noise and the MEG/EEG sensor noise is highly correlated. In this paper, we propose a novel robust empirical Bayesian framework which provides us a tractable algorithm for jointly estimating a low-rank nois...