Editorial for “Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy”

Gerhard S. Drenthen; Daniel Uher

doi:10.1002/jmri.29637

Editorial for “Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy”

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › Academic › peer-review

Original language	English
Journal	Journal of Magnetic Resonance Imaging
DOIs	https://doi.org/10.1002/jmri.29637
Publication status	E-pub ahead of print - 1 Jan 2024

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10.1002/jmri.29637

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title = "Editorial for “Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy”",

author = "Drenthen, {Gerhard S.} and Daniel Uher",

year = "2024",

month = jan,

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doi = "10.1002/jmri.29637",

language = "English",

journal = "Journal of Magnetic Resonance Imaging",

issn = "1053-1807",

publisher = "John Wiley & Sons Inc.",

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AU - Drenthen, Gerhard S.

AU - Uher, Daniel

PY - 2024/1/1

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SN - 1053-1807

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

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