Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation:
Gespeichert in:
| Beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
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| Schlagwörter: | |
| Links: | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222 https://d-nb.info/1282975404/34 https://open.fau.de/handle/openfau/21822 |
| Umfang: | 1 Online-Ressource |
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| spelling | Barany, Laszlo Verfasser aut Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager deep learning tractography magnetic resonance imaging corticospinal tract Hore, Nirjhar Verfasser aut Stadlbauer, Andreas Verfasser aut Buchfelder, Michael Verfasser aut Brandner, Sebastian Verfasser aut Sonderdruck aus Diagnostics Vol. 13 (2023) 10.3390/diagnostics13050911 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222 Resolving-System kostenfrei Volltext https://d-nb.info/1282975404/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/21822 Verlag kostenfrei Volltext 1\p emakn 0,07741 20230311 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,69877 20230311 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20230310 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Barany, Laszlo Hore, Nirjhar Stadlbauer, Andreas Buchfelder, Michael Brandner, Sebastian Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_auth | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_exact_search | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_full | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| title_fullStr | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| title_full_unstemmed | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| title_short | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_sort | prediction of the topography of the corticospinal tract on t1 weighted mr images using deep learning based segmentation |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222 https://d-nb.info/1282975404/34 https://open.fau.de/handle/openfau/21822 |
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