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Nicolas Sauwen
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2010 – 2019
- 2017
- [j2]Nicolas Sauwen, Marjan Acou, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel:
Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. BMC Medical Imaging 17(1): 29:1-29:14 (2017) - [j1]Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. IEEE J. Biomed. Health Informatics 21(4): 1124-1132 (2017) - 2016
- [b1]Nicolas Sauwen:
Unsupervised and Semi-supervised Non-negative Matrix Factorization Methods for Brain Tumor Segmentation using Multi-parametric MRI Data ; Ongesuperviseerde en semi-gesuperviseerde niet-negatieve matrix factorizatie methoden voor de segmentatie van hersentumoren op basis van multi-parametrische MRI data. Katholieke Universiteit Leuven, Belgium, 2016 - [c4]Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel:
Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. ESANN 2016 - [c3]Halandur Nagaraja Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. EUSIPCO 2016: 547-551 - [c2]Nicolas Sauwen, Diana Maria Sima, Marjan Acou, Eric Achten, Frederik Maes, Uwe Himmelreich, Sabine Van Huffel:
A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. SITIS 2016: 88-95 - 2015
- [c1]Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. EMBC 2015: 7003-7006
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