Machine Learning-Based Synthetic Computed Tomography Derived From Temporal Bone Magnetic Resonance Imaging.
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| Title: | Machine Learning-Based Synthetic Computed Tomography Derived From Temporal Bone Magnetic Resonance Imaging. |
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| Authors: | van der Veen MD; Department of Otolaryngology-Head and Neck Surgery, Ear & Hearing, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care Research Program, Amsterdam, the Netherlands., Jasperse B; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands., de Graaf P; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Cancer Center Amsterdam, Imaging and Biomarkers Program, Amsterdam, the Netherlands., Kuijer JPA; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Cancer Center Amsterdam, Imaging and Biomarkers Program, Amsterdam, the Netherlands., Goderie T; Department of Otolaryngology-Head and Neck Surgery, Ear & Hearing, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care Research Program, Amsterdam, the Netherlands., Merkus P; Department of Otolaryngology-Head and Neck Surgery, Ear & Hearing, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care Research Program, Amsterdam, the Netherlands. |
| Source: | JAMA otolaryngology-- head & neck surgery [JAMA Otolaryngol Head Neck Surg] 2026 Jun 01; Vol. 152 (6), pp. 578-585. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101589542 Publication Model: Print Cited Medium: Internet ISSN: 2168-619X (Electronic) Linking ISSN: 21686181 NLM ISO Abbreviation: JAMA Otolaryngol Head Neck Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2168-619X |
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| DOI: | 10.1001/jamaoto.2026.0432 |
