Maes F - Search Results

1

Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis.

Jain S, Sima DM, Sanaei Nezhad F, Hangel G, Bogner W, Williams S, Van Huffel S, Maes F, Smeets D. Jain S, et al. Among authors: maes f. Front Neurosci. 2017 Jan 31;11:13. doi: 10.3389/fnins.2017.00013. eCollection 2017. Front Neurosci. 2017. PMID: 28197066 Free PMC article.

2

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

Jain S, Sima DM, Ribbens A, Cambron M, Maertens A, Van Hecke W, De Mey J, Barkhof F, Steenwijk MD, Daams M, Maes F, Van Huffel S, Vrenken H, Smeets D. Jain S, et al. Among authors: maes f. Neuroimage Clin. 2015 May 16;8:367-75. doi: 10.1016/j.nicl.2015.05.003. eCollection 2015. Neuroimage Clin. 2015. PMID: 26106562 Free PMC article.

3

Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM Patients.

Ion-Margineanu A, Van Cauter S, Sima DM, Maes F, Van Gool SW, Sunaert S, Himmelreich U, Van Huffel S. Ion-Margineanu A, et al. Among authors: maes f. Biomed Res Int. 2015;2015:842923. doi: 10.1155/2015/842923. Epub 2015 Aug 27. Biomed Res Int. 2015. PMID: 26413548 Free PMC article.

4

Hierarchical non-negative matrix factorization to characterize brain tumor heterogeneity using multi-parametric MRI.

Sauwen N, Sima DM, Van Cauter S, Veraart J, Leemans A, Maes F, Himmelreich U, Van Huffel S. Sauwen N, et al. Among authors: maes f. NMR Biomed. 2015 Dec;28(12):1599-624. doi: 10.1002/nbm.3413. Epub 2015 Oct 7. NMR Biomed. 2015. PMID: 26458729

5

Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles.

Stamile C, Kocevar G, Cotton F, Maes F, Sappey-Marinier D, Van Huffel S. Stamile C, et al. Among authors: maes f. IEEE J Biomed Health Inform. 2017 Sep;21(5):1393-1402. doi: 10.1109/JBHI.2016.2597963. Epub 2016 Aug 3. IEEE J Biomed Health Inform. 2017. PMID: 27514068

6

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.

Sauwen N, Acou M, Van Cauter S, Sima DM, Veraart J, Maes F, Himmelreich U, Achten E, Van Huffel S. Sauwen N, et al. Among authors: maes f. Neuroimage Clin. 2016 Sep 30;12:753-764. doi: 10.1016/j.nicl.2016.09.021. eCollection 2016. Neuroimage Clin. 2016. PMID: 27812502 Free PMC article.

7

Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework.

Jain S, Ribbens A, Sima DM, Cambron M, De Keyser J, Wang C, Barnett MH, Van Huffel S, Maes F, Smeets D. Jain S, et al. Among authors: maes f. Front Neurosci. 2016 Dec 19;10:576. doi: 10.3389/fnins.2016.00576. eCollection 2016. Front Neurosci. 2016. PMID: 28066162 Free PMC article.

8

Classifying Glioblastoma Multiforme Follow-Up Progressive vs. Responsive Forms Using Multi-Parametric MRI Features.

Ion-Mărgineanu A, Van Cauter S, Sima DM, Maes F, Sunaert S, Himmelreich U, Van Huffel S. Ion-Mărgineanu A, et al. Among authors: maes f. Front Neurosci. 2017 Jan 11;10:615. doi: 10.3389/fnins.2016.00615. eCollection 2016. Front Neurosci. 2017. PMID: 28123355 Free PMC article.

9

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

Sauwen N, Acou M, Sima DM, Veraart J, Maes F, Himmelreich U, Achten E, Huffel SV. Sauwen N, et al. Among authors: maes f. BMC Med Imaging. 2017 May 4;17(1):29. doi: 10.1186/s12880-017-0198-4. BMC Med Imaging. 2017. PMID: 28472943 Free PMC article.

10

The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization.

Sauwen N, Acou M, Bharath HN, Sima DM, Veraart J, Maes F, Himmelreich U, Achten E, Van Huffel S. Sauwen N, et al. Among authors: maes f. PLoS One. 2017 Aug 28;12(8):e0180268. doi: 10.1371/journal.pone.0180268. eCollection 2017. PLoS One. 2017. PMID: 28846686 Free PMC article.

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