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Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T<sub>2</sub><sup>*</sup>-weighted radiomic-based extra trees models.
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- European Radiology, 2022, v. 32, n. 5, p. 3565, doi. 10.1007/s00330-021-08383-x
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- Article
Utility of Advanced DWI in the Detection of Spinal Cord Microstructural Alterations and Assessment of Neurologic Function in Cervical Spondylotic Myelopathy Patients.
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- Journal of Magnetic Resonance Imaging, 2022, v. 55, n. 3, p. 930, doi. 10.1002/jmri.27894
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- Article
Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T<sub>2</sub>*‐weighted images of cervical spondylotic myelopathy.
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- JOR Spine, 2021, v. 4, n. 4, p. 1, doi. 10.1002/jsp2.1178
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- Article