Lea Baecker – Research output — King's College London

110

Citations

2 Article

2 results

2021
Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data
Baecker, L., Dafflon, J., Da Costa, P. F., Garcia Dias, R., Vieira, S., Scarpazza, C., Calhoun, V. D., Sato, J. R., Mechelli, A. & Pinaya, W. H. L., 1 Jun 2021, In: Human Brain Mapping. 42, 8, p. 2332-2346 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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59 Citations (Scopus)

345 Downloads (Pure)
2020
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners
Garcia Dias, R., Scarpazza, C., Baecker, L., Mendes Vieira, S., Lopez Pinaya, W., Corvin, A., Redolf, A., Nelson, B., Crespo-Facorro, B., McDonald, C., Tordesillas-Gutiérrez, D., Cannon, D., Mothersill, D., Hernaus, D., Morris, D., Setien-Suero, E., Donohoe, G., Frisoniq, G., Tronchin, G. & Sato, J. & 15 others, Marcelis, M., Kempton, M., van Haren, N. E. M., Gruber, O., McGorry, P., Amminger, P., McGuire, P., Gong, Q., Kahnz, R. S., Ayesa-Arriola, R., van Amelsvoort, T., Ortiz-Garcia de la Foz, V., Calhoun, V., Cahn, W. & Mechelli, A., 15 Oct 2020, In: NeuroImage. 220, 171127.
Research output: Contribution to journal › Article › peer-review

Open Access
File
44 Citations (Scopus)

119 Downloads (Pure)

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