Editorial: Deep learning and neuroimage processing in understanding neurological diseases

Joana Carvalho; Ali Abdollahzadeh; Ricardo José Ferrari

doi:10.3389/fncom.2024.1523973

Editorial: Deep learning and neuroimage processing in understanding neurological diseases

Front Comput Neurosci. 2024 Dec 19:18:1523973. doi: 10.3389/fncom.2024.1523973. eCollection 2024.

Authors

Joana Carvalho^{1

2}, Ali Abdollahzadeh^{3

4}, Ricardo José Ferrari⁵

Affiliations

¹ Laboratory of Visual Neuroscience, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.
² Laboratory of Preclinical MRI, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.
³ A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
⁴ Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States.
⁵ Biomedical Image Processing (BIP) Lab, Department of Computing, Federal University of São Carlos, São Carlos, Brazil.

No abstract available

Keywords: classification; deep learning; neuroimaging; neurological disorder; segmentation.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. JC was financed by the ERA Chair Project CogBooster (Grant Agreement: 101087584). AA was funded by the Research Council of Finland (Grant: #360360). RF was funded by São Paulo Research Foundation (Grant: #2023/08307-0).