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Connection

Andrew Smith to Magnetic Resonance Imaging

This is a "connection" page, showing publications Andrew Smith has written about Magnetic Resonance Imaging.

 
Connection Strength
 
 
 
2.186
 
  1. Smith AC, Laguna JM, Wesselink EO, Scott ZE, Jenkins H, Thornton WA, Wasielewski M, Connor J, Delp S, Chaudhari AS, Parrish TB, Mackey S, Elliott JM, Weber KA. Leg Muscle Volume, Intramuscular Fat and Force Generation: Insights From a Computer-Vision Model and Fat-Water MRI. J Cachexia Sarcopenia Muscle. 2025 Feb; 16(1):e13735.
    View in: PubMed
    Score: 0.409
  2. Smith AC, Ahmed RU, Weber KA, Negahdar M, Gibson D, Boakye M, Rejc E. Spinal cord lesion MRI and behavioral outcomes in a miniature pig model of spinal cord injury: exploring preclinical potential through an ad hoc comparison with human SCI. Spinal Cord Ser Cases. 2024 Jul 08; 10(1):44.
    View in: PubMed
    Score: 0.393
  3. Smith AC, Knikou M, Yelick KL, Alexander AR, Murnane MM, Kritselis AA, Houmpavlis PJ, McPherson JG, Wasielewski M, Hoggarth MA, Elliott JM. MRI measures of fat infiltration in the lower extremities following motor incomplete spinal cord injury: reliability and potential implications for muscle activation. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:5451-5456.
    View in: PubMed
    Score: 0.227
  4. Smith AC, Parrish TB, Abbott R, Hoggarth MA, Mendoza K, Chen YF, Elliott JM. Muscle-fat MRI: 1.5 Tesla and 3.0 Tesla versus histology. Muscle Nerve. 2014 Aug; 50(2):170-6.
    View in: PubMed
    Score: 0.197
  5. Naga Karthik E, Valo?ek J, Smith AC, Pfyffer D, Schading-Sassenhausen S, Farner L, Weber KA, Freund P, Cohen-Adad J. SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans. Radiol Artif Intell. 2025 01; 7(1):e240005.
    View in: PubMed
    Score: 0.102
  6. Smith AC, O'Dell DR, Thornton WA, Dungan D, Robinson E, Thaker A, Gisbert R, Weber KA, Berliner JC, Albin SR. Spinal Cord Tissue Bridges Validation Study: Predictive Relationships With Sensory Scores Following Cervical Spinal Cord Injury. Top Spinal Cord Inj Rehabil. 2022; 28(2):111-115.
    View in: PubMed
    Score: 0.082
  7. Weber KA, Abbott R, Bojilov V, Smith AC, Wasielewski M, Hastie TJ, Parrish TB, Mackey S, Elliott JM. Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions. Sci Rep. 2021 08 16; 11(1):16567.
    View in: PubMed
    Score: 0.080
  8. Smith AC, O'Dell DR, Albin SR, Berliner JC, Dungan D, Robinson E, Elliott JM, Carballido-Gamio J, Stevens-Lapsley J, Weber KA. Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury. Arch Phys Med Rehabil. 2022 01; 103(1):62-68.
    View in: PubMed
    Score: 0.080
  9. Berliner JC, O'Dell DR, Albin SR, Dungan D, Sevigny M, Elliott JM, Weber KA, Abdie DR, Anderson JS, Rich AA, Seib CA, Sagan HGS, Smith AC. The influence of conventional T2 MRI indices in predicting who will walk outside one year after spinal cord injury. J Spinal Cord Med. 2023 05; 46(3):501-507.
    View in: PubMed
    Score: 0.078
  10. Smith AC, Albin SR, O'Dell DR, Berliner JC, Dungan D, Sevigny M, Draganich C, Elliott JM, Weber Ii KA. Axial MRI biomarkers of spinal cord damage to predict future walking and motor function: a retrospective study. Spinal Cord. 2021 Jun; 59(6):693-699.
    View in: PubMed
    Score: 0.076
  11. Smith AC, Albin SR, Abbott R, Crawford RJ, Hoggarth MA, Wasielewski M, Elliott JM. Confirming the geography of fatty infiltration in the deep cervical extensor muscles in whiplash recovery. Sci Rep. 2020 07 10; 10(1):11471.
    View in: PubMed
    Score: 0.074
  12. Elliott JM, Smith AC, Hoggarth MA, Albin SR, Weber KA, Haager M, Fundaun J, Wasielewski M, Courtney DM, Parrish TB. Muscle fat infiltration following whiplash: A computed tomography and magnetic resonance imaging comparison. PLoS One. 2020; 15(6):e0234061.
    View in: PubMed
    Score: 0.074
  13. Cummins DP, Connor JR, Heller KA, Hubert JS, Kates MJ, Wisniewski KR, Berliner JC, O'Dell DR, Elliott JM, Weber KA, Smith AC. Establishing the inter-rater reliability of spinal cord damage manual measurement using magnetic resonance imaging. Spinal Cord Ser Cases. 2019; 5:20.
    View in: PubMed
    Score: 0.068
  14. O'Dell DR, Weber KA, Berliner JC, Elliott JM, Connor JR, Cummins DP, Heller KA, Hubert JS, Kates MJ, Mendoza KR, Smith AC. Midsagittal tissue bridges are associated with walking ability in incomplete spinal cord injury: A magnetic resonance imaging case series. J Spinal Cord Med. 2020 03; 43(2):268-271.
    View in: PubMed
    Score: 0.066
  15. Smith AC, Weber KA, O'Dell DR, Parrish TB, Wasielewski M, Elliott JM. Lateral Corticospinal Tract Damage Correlates With Motor Output in Incomplete Spinal Cord Injury. Arch Phys Med Rehabil. 2018 04; 99(4):660-666.
    View in: PubMed
    Score: 0.062
  16. Elliott JM, Hancock MJ, Crawford RJ, Smith AC, Walton DM. Advancing imaging technologies for patients with spinal pain: with a focus on whiplash injury. Spine J. 2018 08; 18(8):1489-1497.
    View in: PubMed
    Score: 0.061
  17. Pfyffer D, Smith AC, Weber KA, Grillhoesl A, Mach O, Draganich C, Berliner JC, Tefertiller C, Leister I, Maier D, Schwab JM, Thompson A, Curt A, Freund P. Prognostic value of tissue bridges in cervical spinal cord injury: a longitudinal, multicentre, retrospective cohort study. Lancet Neurol. 2024 Aug; 23(8):816-825.
    View in: PubMed
    Score: 0.025
  18. Weber KA, Smith AC, Wasielewski M, Eghtesad K, Upadhyayula PA, Wintermark M, Hastie TJ, Parrish TB, Mackey S, Elliott JM. Deep Learning Convolutional Neural Networks for the Automatic?Quantification of?Muscle Fat Infiltration Following Whiplash Injury. Sci Rep. 2019 05 28; 9(1):7973.
    View in: PubMed
    Score: 0.017
  19. Cloney M, Smith AC, Coffey T, Paliwal M, Dhaher Y, Parrish T, Elliott J, Smith ZA. Fatty infiltration of the cervical multifidus musculature and their clinical correlates in spondylotic myelopathy. J Clin Neurosci. 2018 Nov; 57:208-213.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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