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1 |
Value of PET radiomic features for diagnosis and reccurence prediction of newly diagnosed oral squamous cell carcinoma
Pfaehler, Elisabeth. - Freiburg : Universität, 2025
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2 |
Value of PET radiomic features for diagnosis and reccurence prediction of newly diagnosed oral squamous cell carcinoma
Pfaehler, Elisabeth. - Augsburg : Universität Augsburg, 2025
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3 |
Accuracy of 18-F Fluorodeoxyglucose Positron Emission Tomographic/Computed Tomographic Imaging in Primary Staging of Squamous Cell Carcinoma of the Oral Cavity
Linz, Christian. - Würzburg : Universität Würzburg, 2024
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4 |
Evaluation of advanced platelet-rich fibrin (PRF) as a bio-carrier for ampicillin/sulbactam
Straub, Anton. - Würzburg : Universität Würzburg, 2024
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5 |
Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma
Vollmer, Andreas. - Freiburg : Universität, 2024
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6 |
Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
Vollmer, Andreas. - Würzburg : Universität Würzburg, 2024
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7 |
Performance of cone-beam computed tomography (CBCT) in comparison to conventional computed tomography (CT) and magnetic resonance imaging (MRI) for the detection of bone invasion in oral squamous cell cancer (OSCC): a prospective study
Straub, Anton. - Freiburg : Universität, 2024
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8 |
Artificial intelligence-based prediction of oroantral communication after tooth extraction utilizing preoperative panoramic radiography
Vollmer, Andreas. - Würzburg : Universität Würzburg, 2023
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9 |
Automated assessment of radiographic bone loss in the posterior Maxilla utilizing a multi-object detection artificial intelligence algorithm
Vollmer, Andreas. - Freiburg : Universität, 2023
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10 |
Bone concentration of ampicillin/sulbactam: a pilot study in patients with osteonecrosis of the jaw
Straub, Anton. - Würzburg : Universität Würzburg, 2023
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