Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/176360Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Miguel Lopes Martins | |
| dc.date.accessioned | 2026-08-19T01:33:07Z | - |
| dc.date.available | 2026-08-19T01:33:07Z | - |
| dc.date.issued | 2026-07-28 | |
| dc.date.submitted | 2026-08-18 | |
| dc.identifier.other | sigarra:792521 | |
| dc.identifier.uri | https://hdl.handle.net/10216/176360 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Ciências da computação e da informação | |
| dc.subject | Computer and information sciences | |
| dc.title | Statistical and Geometrical priors for Deep Learning with applications in Biomedical modalities | |
| dc.type | Tese | |
| dc.contributor.uporto | Faculdade de Ciências | |
| dc.identifier.tid | 101713550 | |
| dc.subject.fos | Ciências exactas e naturais::Ciências da computação e da informação | |
| dc.subject.fos | Natural sciences::Computer and information sciences | |
| thesis.degree.discipline | Programa Doutoral em Informática | |
| thesis.degree.grantor | Faculdade de Ciências | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 2 | |
| Appears in Collections: | FCUP - Tese | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 792521.pdf | Statistical and Geometrical priors for Deep Learning with applications in Biomedical modalities | 36.82 MB | Adobe PDF | ![]() View/Open |
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