R01 NS104283/NS/NINDS NIH HHS/United States[Grants and Funding] - Search Results

Year	Number of Results
2017	1
2018	3
2019	2
2020	2
2021	6
2022	5
2023	2
2024	1

1

Imaging chronic active lesions in multiple sclerosis: a consensus statement.

Bagnato F, Sati P, Hemond CC, Elliott C, Gauthier SA, Harrison DM, Mainero C, Oh J, Pitt D, Shinohara RT, Smith SA, Trapp B, Azevedo CJ, Calabresi PA, Henry RG, Laule C, Ontaneda D, Rooney WD, Sicotte NL, Reich DS, Absinta M. Bagnato F, et al. Brain. 2024 Sep 3;147(9):2913-2933. doi: 10.1093/brain/awae013. Brain. 2024. PMID: 38226694 Review.

2

Imaging Mechanisms of Disease Progression in Multiple Sclerosis: Beyond Brain Atrophy.

Bagnato F, Gauthier SA, Laule C, Moore GRW, Bove R, Cai Z, Cohen-Adad J, Harrison DM, Klawiter EC, Morrow SA, Öz G, Rooney WD, Smith SA, Calabresi PA, Henry RG, Oh J, Ontaneda D, Pelletier D, Reich DS, Shinohara RT, Sicotte NL; NAIMS Cooperative. Bagnato F, et al. J Neuroimaging. 2020 May;30(3):251-266. doi: 10.1111/jon.12700. J Neuroimaging. 2020. PMID: 32418324 Review.

3

Brain oxygen extraction fraction mapping in patients with multiple sclerosis.

Cho J, Nguyen TD, Huang W, Sweeney EM, Luo X, Kovanlikaya I, Zhang S, Gillen KM, Spincemaille P, Gupta A, Gauthier SA, Wang Y. Cho J, et al. J Cereb Blood Flow Metab. 2022 Feb;42(2):338-348. doi: 10.1177/0271678X211048031. Epub 2021 Sep 24. J Cereb Blood Flow Metab. 2022. PMID: 34558996 Free PMC article. Clinical Trial.

4

Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging.

Sweeney EM, Nguyen TD, Kuceyeski A, Ryan SM, Zhang S, Zexter L, Wang Y, Gauthier SA. Sweeney EM, et al. Neuroimage. 2021 Jan 15;225:117451. doi: 10.1016/j.neuroimage.2020.117451. Epub 2020 Oct 16. Neuroimage. 2021. PMID: 33069865 Free PMC article.

5

Population-based input function for TSPO quantification and kinetic modeling with [¹¹C]-DPA-713.

Akerele MI, Zein SA, Pandya S, Nikolopoulou A, Gauthier SA, Raj A, Henchcliffe C, Mozley PD, Karakatsanis NA, Gupta A, Babich J, Nehmeh SA. Akerele MI, et al. EJNMMI Phys. 2021 Apr 29;8(1):39. doi: 10.1186/s40658-021-00381-8. EJNMMI Phys. 2021. PMID: 33914185 Free PMC article.

6

Lesion features on magnetic resonance imaging discriminate multiple sclerosis patients.

Hurtado Rúa SM, Kaunzner UW, Pandya S, Sweeney E, Tozlu C, Kuceyeski A, Nguyen TD, Gauthier SA. Hurtado Rúa SM, et al. Eur J Neurol. 2022 Jan;29(1):237-246. doi: 10.1111/ene.15067. Epub 2021 Aug 29. Eur J Neurol. 2022. PMID: 34402140 Free PMC article.

7

Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis.

Marcille M, Hurtado Rúa S, Tyshkov C, Jaywant A, Comunale J, Kaunzner UW, Nealon N, Perumal JS, Zexter L, Zinger N, Bruvik O, Wang Y, Sweeney E, Kuceyeski A, Nguyen TD, Gauthier SA. Marcille M, et al. Sci Rep. 2022 Mar 15;12(1):4411. doi: 10.1038/s41598-022-08477-6. Sci Rep. 2022. PMID: 35292734 Free PMC article.

8

ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation.

Zhang H, Zhang J, Li C, Sweeney EM, Spincemaille P, Nguyen TD, Gauthier SA, Wang Y, Marcille M. Zhang H, et al. Neuroimage Clin. 2021;32:102854. doi: 10.1016/j.nicl.2021.102854. Epub 2021 Oct 12. Neuroimage Clin. 2021. PMID: 34666289 Free PMC article.

9

Quantitative susceptibility mapping versus phase imaging to identify multiple sclerosis iron rim lesions with demyelination.

Huang W, Sweeney EM, Kaunzner UW, Wang Y, Gauthier SA, Nguyen TD. Huang W, et al. J Neuroimaging. 2022 Jul;32(4):667-675. doi: 10.1111/jon.12987. Epub 2022 Mar 9. J Neuroimaging. 2022. PMID: 35262241 Free PMC article.

10

QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps.

Zhang H, Nguyen TD, Zhang J, Marcille M, Spincemaille P, Wang Y, Gauthier SA, Sweeney EM. Zhang H, et al. Neuroimage Clin. 2022;34:102979. doi: 10.1016/j.nicl.2022.102979. Epub 2022 Mar 1. Neuroimage Clin. 2022. PMID: 35247730 Free PMC article.

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