Comparison of Multi-site Neuroimaging Data Harmonization Techniques for Machine Learning Applications-Reference-Cited by-同舟云学术

Comparison of Multi-site Neuroimaging Data Harmonization Techniques for Machine Learning Applications

Published:2023-07-06 Issue: Volume: Page:
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Container-title:IEEE EUROCON 2023 - 20th International Conference on Smart Technologies
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Author:

Sampaio Inês W.¹,Tassi Emma²,Bellani Marcella³,Benedetti Francesco⁴,Poletti Sara⁴,Spalletta Gianfranco⁵,Piras Fabrizio⁵,Bianchi Anna Maria¹,Brambilla Paolo⁵,Maggioni Eleonora⁶

Affiliation:

1. Politecnico di Milano,Dept. of Electronics, Information and Bioengineering,Milan,Italy

2. Politecnico di Milano,Dept. of Electronics, Information and Bioengineering

3. University of Verona,Dept. of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry,Verona,Italy

4. Div. of Neuroscience, Unit of Psychiatry and Clinical Psychobiology IRCCS Ospedale San Raffaele,Milan,Italy

5. Fondazione IRCCS,Rome,Italy

6. Fondazione IRCCS Ca’ Granda Osp. Maggiore Policlinico,Dept. of Neurosciences and Mental Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10198869/10198877/10198911.pdf?arnumber=10198911

Reference13 articles.

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3. Warping an atlas derived from serial histology to 5 high-resolution MRIs

4. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

5. How to control for confounds in decoding analyses of neuroimaging data

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