DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data
Neuroimaging data from multiple batches (i.e. acquisition sites, scanner manufacturer, datasets, etc.) are increasingly necessary to gain new insights into the human brain. However, multi-batch data, as well as extracted radiomic features, exhibit pronounced technical artifacts across batches. These...
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| Published in: | bioRxiv |
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| Main Authors: | , , , , , , , , , , |
| Format: | Journal Article Paper |
| Language: | English |
| Published: |
United States
Cold Spring Harbor Laboratory
24.04.2023
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| Edition: | 1.1 |
| Subjects: | |
| ISSN: | 2692-8205, 2692-8205 |
| Online Access: | Get full text |
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