Predicting Brain Age at Slice Level : Convolutional Neural Networks and Consequences for Interpretability
| dc.contributor.author | Ballester, Pedro L. | |
| dc.contributor.author | da Silva, Laura Tomaz | |
| dc.contributor.author | Marcon, Matheus | |
| dc.contributor.author | Esper, Nathalia Bianchini | |
| dc.contributor.author | Frey, Benicio N. | |
| dc.contributor.author | Buchweitz, Augusto | |
| dc.contributor.author | Meneguzzi, Felipe | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Agents at Aberdeen | en |
| dc.date.accessioned | 2023-03-20T09:08:01Z | |
| dc.date.available | 2023-03-20T09:08:01Z | |
| dc.date.issued | 2021-02-25 | |
| dc.description | Funding Information: NE was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior— Brasil (CAPES)—Finance Code 001. MM was financed in part by the Conselho Nacional de Pesquisa—Brasil (CNPq). Funding Information: Conflict of Interest: BF had a research grant from Pfizer outside of this study. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 12 | |
| dc.format.extent | 2195075 | |
| dc.identifier | 220541354 | |
| dc.identifier | a12ea962-ede0-4889-af84-da889fd0ab1f | |
| dc.identifier | 85102461282 | |
| dc.identifier.citation | Ballester, P L, da Silva, L T, Marcon, M, Esper, N B, Frey, B N, Buchweitz, A & Meneguzzi, F 2021, 'Predicting Brain Age at Slice Level : Convolutional Neural Networks and Consequences for Interpretability', Frontiers in psychiatry, vol. 12, 598518. https://doi.org/10.3389/fpsyt.2021.598518 | en |
| dc.identifier.doi | 10.3389/fpsyt.2021.598518 | |
| dc.identifier.issn | 1664-0640 | |
| dc.identifier.other | ORCID: /0000-0003-3549-6168/work/131351724 | |
| dc.identifier.uri | https://hdl.handle.net/2164/20309 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85102461282 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Frontiers in psychiatry | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | brain age | en |
| dc.subject | convolutional neural networks | en |
| dc.subject | deep learning | en |
| dc.subject | model interpretability | en |
| dc.subject | neuroimaging | en |
| dc.subject | R Medicine | en |
| dc.subject | Psychiatry and Mental health | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | R | en |
| dc.title | Predicting Brain Age at Slice Level : Convolutional Neural Networks and Consequences for Interpretability | en |
| dc.type | Journal article | en |
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