Cited In for PMID: 22245259

Year	Number of Results
2012	3
2013	3
2014	6
2015	5
2016	2
2018	3
2019	3
2021	2
2022	2
2023	2
2024	0

1

Multivariate pattern classification of gray matter pathology in multiple sclerosis.

Bendfeldt K, Klöppel S, Nichols TE, Smieskova R, Kuster P, Traud S, Mueller-Lenke N, Naegelin Y, Kappos L, Radue EW, Borgwardt SJ. Bendfeldt K, et al. Neuroimage. 2012 Mar;60(1):400-8. doi: 10.1016/j.neuroimage.2011.12.070. Epub 2012 Jan 5. Neuroimage. 2012. PMID: 22245259

2

Women in the field of multiple sclerosis: How they contributed to paradigm shifts.

Barateiro A, Barros C, Pinto MV, Ribeiro AR, Alberro A, Fernandes A. Barateiro A, et al. Front Mol Neurosci. 2023 Feb 3;16:1087745. doi: 10.3389/fnmol.2023.1087745. eCollection 2023. Front Mol Neurosci. 2023. PMID: 36818652 Free PMC article. Review.

3

Discovering functional connectivity features characterizing multiple sclerosis phenotypes using explainable artificial intelligence.

Yamin MA, Valsasina P, Tessadori J, Filippi M, Murino V, Rocca MA, Sona D. Yamin MA, et al. Hum Brain Mapp. 2023 Apr 15;44(6):2294-2306. doi: 10.1002/hbm.26210. Epub 2023 Jan 30. Hum Brain Mapp. 2023. PMID: 36715247 Free PMC article.

4

Multiple sclerosis diagnosis and phenotype identification by multivariate classification of in vivo frontal cortex metabolite profiles.

Swanberg KM, Kurada AV, Prinsen H, Juchem C. Swanberg KM, et al. Sci Rep. 2022 Aug 16;12(1):13888. doi: 10.1038/s41598-022-17741-8. Sci Rep. 2022. PMID: 35974117 Free PMC article.

5

An Enhanced Multiple Sclerosis Disease Diagnosis via an Ensemble Approach.

Torkey H, Belal NA. Torkey H, et al. Diagnostics (Basel). 2022 Jul 21;12(7):1771. doi: 10.3390/diagnostics12071771. Diagnostics (Basel). 2022. PMID: 35885672 Free PMC article.

6

Machine Learning Approaches in Study of Multiple Sclerosis Disease Through Magnetic Resonance Images.

Moazami F, Lefevre-Utile A, Papaloukas C, Soumelis V. Moazami F, et al. Front Immunol. 2021 Aug 11;12:700582. doi: 10.3389/fimmu.2021.700582. eCollection 2021. Front Immunol. 2021. PMID: 34456913 Free PMC article. Review.

7

Deep learning-Based 3D inpainting of brain MR images.

Kang SK, Shin SA, Seo S, Byun MS, Lee DY, Kim YK, Lee DS, Lee JS. Kang SK, et al. Sci Rep. 2021 Jan 18;11(1):1673. doi: 10.1038/s41598-020-80930-w. Sci Rep. 2021. PMID: 33462321 Free PMC article.

8

SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis.

Wottschel V, Chard DT, Enzinger C, Filippi M, Frederiksen JL, Gasperini C, Giorgio A, Rocca MA, Rovira A, De Stefano N, Tintoré M, Alexander DC, Barkhof F, Ciccarelli O; MAGNIMS study group and the EuroPOND consortium. Wottschel V, et al. Neuroimage Clin. 2019;24:102011. doi: 10.1016/j.nicl.2019.102011. Epub 2019 Oct 22. Neuroimage Clin. 2019. PMID: 31734524 Free PMC article.

9

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation.

Eitel F, Soehler E, Bellmann-Strobl J, Brandt AU, Ruprecht K, Giess RM, Kuchling J, Asseyer S, Weygandt M, Haynes JD, Scheel M, Paul F, Ritter K. Eitel F, et al. Neuroimage Clin. 2019;24:102003. doi: 10.1016/j.nicl.2019.102003. Epub 2019 Sep 6. Neuroimage Clin. 2019. PMID: 31634822 Free PMC article.

10

Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis.

Zeng P, Huang J, Wu S, Qian C, Chen F, Sun W, Tao W, Liao Y, Zhang J, Yang Z, Zhong S, Zhang Z, Xiao L, Huang B. Zeng P, et al. Front Neurosci. 2019 May 28;13:534. doi: 10.3389/fnins.2019.00534. eCollection 2019. Front Neurosci. 2019. PMID: 31191228 Free PMC article.

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