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For: Merali Z, Wang JZ, Badhiwala JH, Witiw CD, Wilson JR, Fehlings MG. A deep learning model for detection of cervical spinal cord compression in MRI scans. Sci Rep 2021;11:10473. [PMID: 34006910 DOI: 10.1038/s41598-021-89848-3] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Ji B, Dai Q, Ji X, Wu W, Sun Q, Ma H, Cong M, Cheng L, Wang C, Si M, Zeng W. Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning. Artif Intell Rev 2023. [DOI: 10.1007/s10462-023-10404-8] [Reference Citation Analysis]
2 Thavarajasingam SG, El-khatib M, Vemulapalli K, Iradukunda HAS, K. SV, Borchert R, Russo S, Eide PK. Radiological predictors of shunt response in the diagnosis and treatment of idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. Acta Neurochir 2022. [DOI: 10.1007/s00701-022-05402-8] [Reference Citation Analysis]
3 Теплякова А, Старков С. APPLICATION OF COMPUTER VISION FOR DIAGNOSTICS OF NOSOLOGICAL UNITS ON MEDICAL IMAGES. Южно-Сибирский научный вестник 2022. [DOI: 10.25699/sssb.2022.44.4.004] [Reference Citation Analysis]
4 Hallinan JTPD, Zhu L, Zhang W, Kuah T, Lim DSW, Low XZ, Cheng AJL, Eide SE, Ong HY, Muhamat Nor FE, Alsooreti AM, Almuhaish MI, Yeong KY, Teo EC, Barr Kumarakulasinghe N, Yap QV, Chan YH, Lin S, Tan JH, Kumar N, Vellayappan BA, Ooi BC, Quek ST, Makmur A. Deep Learning Model for Grading Metastatic Epidural Spinal Cord Compression on Staging CT. Cancers 2022;14:3219. [DOI: 10.3390/cancers14133219] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Cruz AD, Santhosini P, Santhini P, Shirly S. Comparative Study and Detection of Spinal Deformities using Supervised Machine Learning Algorithms. 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS) 2022. [DOI: 10.1109/ic3sis54991.2022.9885287] [Reference Citation Analysis]
6 Zhou Y, Shi J. Brain Structural and Functional Dissociated Patterns in Degenerative Cervical Myelopathy: A Case-Controlled Retrospective Resting-State fMRI Study. Front Neurol 2022;13:895348. [DOI: 10.3389/fneur.2022.895348] [Reference Citation Analysis]
7 Gao KT, Tibrewala R, Hess M, Bharadwaj UU, Inamdar G, Link TM, Chin CT, Pedoia V, Majumdar S. Automatic detection and voxel‐wise mapping of lumbar spine Modic changes with deep learning. JOR Spine 2022;5. [DOI: 10.1002/jsp2.1204] [Reference Citation Analysis]
8 Ogawa T, Yoshii T, Oyama J, Sugimura N, Akada T, Sugino T, Hashimoto M, Morishita S, Takahashi T, Motoyoshi T, Oyaizu T, Yamada T, Onuma H, Hirai T, Inose H, Nakajima Y, Okawa A. Detecting ossification of the posterior longitudinal ligament on plain radiographs using a deep convolutional neural network: a pilot study. Spine J 2022;22:934-40. [PMID: 35017056 DOI: 10.1016/j.spinee.2022.01.004] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Hallinan JTPD, Zhu L, Zhang W, Lim DSW, Baskar S, Low XZ, Yeong KY, Teo EC, Kumarakulasinghe NB, Yap QV, Chan YH, Lin S, Tan JH, Kumar N, Vellayappan BA, Ooi BC, Quek ST, Makmur A. Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI. Front Oncol 2022;12:849447. [PMID: 35600347 DOI: 10.3389/fonc.2022.849447] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
10 Bidwe RV, Mishra S, Patil S, Shaw K, Vora DR, Kotecha K, Zope B. Deep Learning Approaches for Video Compression: A Bibliometric Analysis. BDCC 2022;6:44. [DOI: 10.3390/bdcc6020044] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Wang H, Liu Y, Li Y. Study on Automatic Multi-Classification of Spine Based on Deep Learning and Postoperative Infection Screening. J Healthc Eng 2022;2022:2779686. [PMID: 35360477 DOI: 10.1155/2022/2779686] [Reference Citation Analysis]
12 Doerr SA, Weber-Levine C, Hersh AM, Awosika T, Judy B, Jin Y, Raj D, Liu A, Lubelski D, Jones CK, Sair HI, Theodore N. Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm. Neurosurg Focus 2022;52:E5. [PMID: 35364582 DOI: 10.3171/2022.1.FOCUS21745] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Ouyang H, Meng F, Liu J, Song X, Li Y, Yuan Y, Wang C, Lang N, Tian S, Yao M, Liu X, Yuan H, Jiang S, Jiang L. Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test. Front Oncol 2022;12:814667. [DOI: 10.3389/fonc.2022.814667] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Windsor R, Jamaludin A, Kadir T, Zisserman A. Context-Aware Transformers for Spinal Cancer Detection and Radiological Grading. Lecture Notes in Computer Science 2022. [DOI: 10.1007/978-3-031-16437-8_26] [Reference Citation Analysis]
15 Min Kim H, Ko T, Young Choi I, Myong JP. Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image. Int J Med Inform 2021;158:104667. [PMID: 34952282 DOI: 10.1016/j.ijmedinf.2021.104667] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
16 Matsui R, Koyama T, Fujita K, Saito H, Sugiura Y. Video-Based Hand Tracking for Screening Cervical Myelopathy. Advances in Visual Computing 2021. [DOI: 10.1007/978-3-030-90436-4_1] [Reference Citation Analysis]