Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT.
- Published in:
- European Radiology, 2021, v. 31, n. 7, p. 5206, doi. 10.1007/s00330-020-07568-0
- By:
- Publication type:
- Article
Works by Andreu‐Arasa, V. Carlota
Results: 7
1
2
Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.
- Published in:
- European Radiology, 2020, v. 30, n. 11, p. 6322, doi. 10.1007/s00330-020-06982-8
- By:
- Publication type:
- Article
3
Quantification of spinal bone marrow fat fraction using three‐material decomposition technique on dual‐energy CT: A phantom study.
- Published in:
- Medical Physics, 2023, v. 50, n. 7, p. 4105, doi. 10.1002/mp.16442
- By:
- Publication type:
- Article
4
Multiparametric machine learning algorithm for human papillomavirus status and survival prediction in oropharyngeal cancer patients.
- Published in:
- Head & Neck, 2023, v. 45, n. 11, p. 2882, doi. 10.1002/hed.27519
- By:
- Publication type:
- Article
5
Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.
- Published in:
- 2021
- By:
- Publication type:
- journal article
6
Imaging approach to ingested foreign bodies in the neck.
- Published in:
- Neuroradiology, 2024, v. 66, n. 6, p. 867, doi. 10.1007/s00234-024-03348-5
- By:
- Publication type:
- Article
7
Metabolic syndrome is associated with reduced default mode network functional connectivity in young post-9/11 Veterans.
- Published in:
- Brain Imaging & Behavior, 2024, v. 18, n. 6, p. 1499, doi. 10.1007/s11682-024-00927-1
- By:
- Publication type:
- Article