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209 results

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Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1 H-MR spectroscopy-A multi-center study.
Zarinabad N, Abernethy LJ, Avula S, Davies NP, Rodriguez Gutierrez D, Jaspan T, MacPherson L, Mitra D, Rose HEL, Wilson M, Morgan PS, Bailey S, Pizer B, Arvanitis TN, Grundy RG, Auer DP, Peet A. Zarinabad N, et al. Among authors: avula s. Magn Reson Med. 2018 Apr;79(4):2359-2366. doi: 10.1002/mrm.26837. Epub 2017 Aug 8. Magn Reson Med. 2018. PMID: 28786132 Free PMC article.
Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome.
Liu JF, Dineen RA, Avula S, Chambers T, Dutta M, Jaspan T, MacArthur DC, Howarth S, Soria D, Quinlan P, Harave S, Ong CC, Mallucci CL, Kumar R, Pizer B, Walker DA. Liu JF, et al. Among authors: avula s. Br J Neurosurg. 2018 Feb;32(1):18-27. doi: 10.1080/02688697.2018.1431204. Epub 2018 Feb 12. Br J Neurosurg. 2018. PMID: 29433337 Free article.
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study.
Withey SB, MacPherson L, Oates A, Powell S, Novak J, Abernethy L, Pizer B, Grundy R, Morgan PS, Bailey S, Mitra D, Arvanitis TN, Auer DP, Avula S, Peet AC. Withey SB, et al. Among authors: avula s. Pediatr Radiol. 2022 May;52(6):1134-1149. doi: 10.1007/s00247-021-05266-7. Epub 2022 Mar 15. Pediatr Radiol. 2022. PMID: 35290489 Free PMC article.
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.
Powell SJ, Withey SB, Sun Y, Grist JT, Novak J, MacPherson L, Abernethy L, Pizer B, Grundy R, Morgan PS, Jaspan T, Bailey S, Mitra D, Auer DP, Avula S, Arvanitis TN, Peet A. Powell SJ, et al. Among authors: avula s. Br J Radiol. 2023 Apr 1;96(1145):20201465. doi: 10.1259/bjr.20201465. Epub 2023 Feb 20. Br J Radiol. 2023. PMID: 36802769 Free PMC article.
Characterisation of paediatric brain tumours by their MRS metabolite profiles.
Gill SK, Rose HEL, Wilson M, Rodriguez Gutierrez D, Worthington L, Davies NP, MacPherson L, Hargrave DR, Saunders DE, Clark CA, Payne GS, Leach MO, Howe FA, Auer DP, Jaspan T, Morgan PS, Grundy RG, Avula S, Pizer B, Arvanitis TN, Peet AC. Gill SK, et al. Among authors: avula s. NMR Biomed. 2024 May;37(5):e5101. doi: 10.1002/nbm.5101. Epub 2024 Feb 1. NMR Biomed. 2024. PMID: 38303627
Metabolite selection for machine learning in childhood brain tumour classification.
Zhao D, Grist JT, Rose HEL, Davies NP, Wilson M, MacPherson L, Abernethy LJ, Avula S, Pizer B, Gutierrez DR, Jaspan T, Morgan PS, Mitra D, Bailey S, Sawlani V, Arvanitis TN, Sun Y, Peet AC. Zhao D, et al. Among authors: avula s. NMR Biomed. 2022 Jun;35(6):e4673. doi: 10.1002/nbm.4673. Epub 2022 Jan 27. NMR Biomed. 2022. PMID: 35088473
209 results