Similar articles for PMID: 33243897

Year	Number of Results
2001	1
2004	1
2005	1
2006	2
2007	2
2008	2
2009	2
2010	5
2011	3
2012	4
2013	5
2014	6
2015	3
2016	12
2017	15
2018	18
2019	22
2020	10
2021	9
2022	1
2023	4
2024	0

1

Estimating Local Cellular Density in Glioma Using MR Imaging Data.

Gates EDH, Weinberg JS, Prabhu SS, Lin JS, Hamilton J, Hazle JD, Fuller GN, Baladandayuthapani V, Fuentes DT, Schellingerhout D. Gates EDH, et al. AJNR Am J Neuroradiol. 2021 Jan;42(1):102-108. doi: 10.3174/ajnr.A6884. Epub 2020 Nov 26. AJNR Am J Neuroradiol. 2021. PMID: 33243897 Free PMC article.

2

Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging.

Gates EDH, Lin JS, Weinberg JS, Hamilton J, Prabhu SS, Hazle JD, Fuller GN, Baladandayuthapani V, Fuentes D, Schellingerhout D. Gates EDH, et al. Neuro Oncol. 2019 Mar 18;21(4):527-536. doi: 10.1093/neuonc/noz004. Neuro Oncol. 2019. PMID: 30657997 Free PMC article. Clinical Trial.

3

Imaging-Based Algorithm for the Local Grading of Glioma.

Gates EDH, Lin JS, Weinberg JS, Prabhu SS, Hamilton J, Hazle JD, Fuller GN, Baladandayuthapani V, Fuentes DT, Schellingerhout D. Gates EDH, et al. AJNR Am J Neuroradiol. 2020 Mar;41(3):400-407. doi: 10.3174/ajnr.A6405. Epub 2020 Feb 6. AJNR Am J Neuroradiol. 2020. PMID: 32029466 Free PMC article. Clinical Trial.

4

Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI.

Fathi Kazerooni A, Nabil M, Zeinali Zadeh M, Firouznia K, Azmoudeh-Ardalan F, Frangi AF, Davatzikos C, Saligheh Rad H. Fathi Kazerooni A, et al. J Magn Reson Imaging. 2018 Oct;48(4):938-950. doi: 10.1002/jmri.25963. Epub 2018 Feb 7. J Magn Reson Imaging. 2018. PMID: 29412496 Free PMC article.

5

Glioma grading using a machine-learning framework based on optimized features obtained from T₁ perfusion MRI and volumes of tumor components.

Sengupta A, Ramaniharan AK, Gupta RK, Agarwal S, Singh A. Sengupta A, et al. J Magn Reson Imaging. 2019 Oct;50(4):1295-1306. doi: 10.1002/jmri.26704. Epub 2019 Mar 20. J Magn Reson Imaging. 2019. PMID: 30895704

6

Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.

Hashido T, Saito S, Ishida T. Hashido T, et al. J Comput Assist Tomogr. 2021 Jul-Aug 01;45(4):606-613. doi: 10.1097/RCT.0000000000001180. J Comput Assist Tomogr. 2021. PMID: 34270479

7

Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.

Inano R, Oishi N, Kunieda T, Arakawa Y, Yamao Y, Shibata S, Kikuchi T, Fukuyama H, Miyamoto S. Inano R, et al. Neuroimage Clin. 2014 Aug 7;5:396-407. doi: 10.1016/j.nicl.2014.08.001. eCollection 2014. Neuroimage Clin. 2014. PMID: 25180159 Free PMC article.

8

Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.

Vamvakas A, Williams SC, Theodorou K, Kapsalaki E, Fountas K, Kappas C, Vassiou K, Tsougos I. Vamvakas A, et al. Phys Med. 2019 Apr;60:188-198. doi: 10.1016/j.ejmp.2019.03.014. Epub 2019 Mar 23. Phys Med. 2019. PMID: 30910431

9

Multimodal MR imaging model to predict tumor infiltration in patients with gliomas.

Durst CR, Raghavan P, Shaffrey ME, Schiff D, Lopes MB, Sheehan JP, Tustison NJ, Patrie JT, Xin W, Elias WJ, Liu KC, Helm GA, Cupino A, Wintermark M. Durst CR, et al. Neuroradiology. 2014 Feb;56(2):107-15. doi: 10.1007/s00234-013-1308-9. Epub 2013 Dec 15. Neuroradiology. 2014. PMID: 24337609

10

Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

Alis D, Bagcilar O, Senli YD, Yergin M, Isler C, Kocer N, Islak C, Kizilkilic O. Alis D, et al. Jpn J Radiol. 2020 Feb;38(2):135-143. doi: 10.1007/s11604-019-00902-7. Epub 2019 Nov 18. Jpn J Radiol. 2020. PMID: 31741126

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