Ni M - Search Results

1

Predictive Value of the Diffusion Magnetic Resonance Imaging Technique for the Postoperative Outcome of Cervical Spondylotic Myelopathy.

Ni M, Wen X, Zhang M, Jiang C, Li Y, Wang B, Zhang X, Zhao Q, Lang N, Jiang L, Yuan H. Ni M, et al. J Magn Reson Imaging. 2024 Feb;59(2):599-610. doi: 10.1002/jmri.28789. Epub 2023 May 18. J Magn Reson Imaging. 2024. PMID: 37203312

2

Radiomics Approaches for Predicting Liver Fibrosis With Nonenhanced T₁ -Weighted Imaging: Comparison of Different Radiomics Models.

Ni M, Wang L, Yu H, Wen X, Yang Y, Liu G, Hu Y, Li Z. Ni M, et al. J Magn Reson Imaging. 2021 Apr;53(4):1080-1089. doi: 10.1002/jmri.27391. Epub 2020 Oct 12. J Magn Reson Imaging. 2021. PMID: 33043991

3

Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T₂*-weighted images of cervical spondylotic myelopathy.

Zhang MZ, Ou-Yang HQ, Jiang L, Wang CJ, Liu JF, Jin D, Ni M, Liu XG, Lang N, Yuan HS. Zhang MZ, et al. Among authors: ni m. JOR Spine. 2021 Nov 13;4(4):e1178. doi: 10.1002/jsp2.1178. eCollection 2021 Dec. JOR Spine. 2021. PMID: 35005444 Free PMC article.

4

Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T₂^*-weighted radiomic-based extra trees models.

Zhang MZ, Ou-Yang HQ, Liu JF, Jin D, Wang CJ, Ni M, Liu XG, Lang N, Jiang L, Yuan HS. Zhang MZ, et al. Among authors: ni m. Eur Radiol. 2022 May;32(5):3565-3575. doi: 10.1007/s00330-021-08383-x. Epub 2022 Jan 13. Eur Radiol. 2022. PMID: 35024949

5

A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint.

Ni M, Wen X, Chen W, Zhao Y, Yuan Y, Zeng P, Wang Q, Wang Y, Yuan H. Ni M, et al. J Magn Reson Imaging. 2022 Aug;56(2):625-634. doi: 10.1002/jmri.28069. Epub 2022 Jan 26. J Magn Reson Imaging. 2022. PMID: 35081273 Clinical Trial.

6

Deep learning image reconstruction algorithm for carotid dual-energy computed tomography angiography: evaluation of image quality and diagnostic performance.

Jiang C, Jin D, Liu Z, Zhang Y, Ni M, Yuan H. Jiang C, et al. Among authors: ni m. Insights Imaging. 2022 Nov 26;13(1):182. doi: 10.1186/s13244-022-01308-2. Insights Imaging. 2022. PMID: 36435892 Free PMC article.

7

Deep learning-assisted classification of calcaneofibular ligament injuries in the ankle joint.

Ni M, Zhao Y, Wen X, Lang N, Wang Q, Chen W, Zeng X, Yuan H. Ni M, et al. Quant Imaging Med Surg. 2023 Jan 1;13(1):80-93. doi: 10.21037/qims-22-470. Epub 2022 Oct 13. Quant Imaging Med Surg. 2023. PMID: 36620152 Free PMC article.

8

Deep Learning Approach for MRI in the Classification of Anterior Talofibular Ligament Injuries.

Ni M, Chen W, Zhao Q, Zhao Y, Yuan H. Ni M, et al. J Magn Reson Imaging. 2023 Nov;58(5):1544-1556. doi: 10.1002/jmri.28649. Epub 2023 Feb 20. J Magn Reson Imaging. 2023. PMID: 36807381

9

Influence of image reconstruction kernel on computed tomography-based finite element analysis in the clinical opportunistic screening of osteoporosis-A preliminary result.

Jiang C, Jin D, Ni M, Zhang Y, Yuan H. Jiang C, et al. Among authors: ni m. Front Endocrinol (Lausanne). 2023 Mar 1;14:1076990. doi: 10.3389/fendo.2023.1076990. eCollection 2023. Front Endocrinol (Lausanne). 2023. PMID: 36936156 Free PMC article.

10

Preliminary exploration of deep learning-assisted recognition of superior labrum anterior and posterior lesions in shoulder MR arthrography.

Ni M, Gao L, Chen W, Zhao Q, Zhao Y, Jiang C, Yuan H. Ni M, et al. Int Orthop. 2024 Jan;48(1):183-191. doi: 10.1007/s00264-023-05987-4. Epub 2023 Sep 20. Int Orthop. 2024. PMID: 37726561 Free PMC article.

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