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

N. Sauwen, M. Acou, D. Sima, J. Veraart, F. Maes, U. Himmelreich, E. Achten, and S. Huffel. BMC Medical Imaging, 17 (1): 29:1-29:14 (2017)

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Dr. phil. Diana Wagner University of Stuttgart

Diana Wang University of Stuttgart

Claudia Marianowski University of Stuttgart

apl. Prof. Dr. Maria Fyta University of Stuttgart

Maria Papadimitraki University of Stuttgart

Other publications of authors with the same name

Unsupervised Nosologic Imaging for Glioma Diagnosis.Y. Li, D. Sima, S. Cauter, U. Himmelreich, A. Sava, Y. Pi, Y. Liu, and S. Huffel. IEEE Trans. Biomed. Engineering, 60 (6): 1760-1763 (2013)A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans.E. de la Rosa, D. Sima, T. Vyvere, J. Kirschke, and B. Menze. ISBI, page 732-735. IEEE, (2019)Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization.Y. Li, D. Sima, S. Cauter, U. Himmelreich, Y. Pi, and S. Huffel. BIOSIGNALS, page 25-31. SciTePress, (2012)A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans.E. de la Rosa, D. Sima, T. Vyvere, J. Kirschke, and B. Menze. CoRR, (2018)A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization.N. Sauwen, D. Sima, M. Acou, E. Achten, F. Maes, U. Himmelreich, and S. Huffel. SITIS, page 88-95. IEEE Computer Society, (2016)Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.N. Sauwen, M. Acou, D. Sima, J. Veraart, F. Maes, U. Himmelreich, E. Achten, and S. Huffel. BMC Medical Imaging, 17 (1): 29:1-29:14 (2017)Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation.N. Sauwen, M. Acou, H. Bharath, D. Sima, J. Veraart, F. Maes, U. Himmelreich, E. Achten, and S. Huffel. ESANN, (2016)Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas.H. Bharath, N. Sauwen, D. Sima, U. Himmelreich, L. Lathauwer, and S. Huffel. EUSIPCO, page 547-551. IEEE, (2016)Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a 1H-MRS study.O. Levin, A. Weerasekera, B. King, K. Heise, D. Sima, S. Chalavi, C. Maes, R. Peeters, S. Sunaert, K. Cuypers and 4 other author(s). NeuroImage, (2019)Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors.M. Meyer, E. de la Rosa, K. Leemput, and D. Sima. CoRR, (2019)

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Disambiguation of "Sima, Diana Maria"

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

Please choose a person to relate this publication to

Dr. phil. Diana Wagner University of Stuttgart

Diana Wang University of Stuttgart

Claudia Marianowski University of Stuttgart

apl. Prof. Dr. Maria Fyta University of Stuttgart

Maria Papadimitraki University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Sima, Diana Maria"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

Please choose a person to relate this publication to

Dr. phil. Diana Wagner University of Stuttgart

Diana Wang University of Stuttgart

Claudia Marianowski University of Stuttgart

apl. Prof. Dr. Maria Fyta University of Stuttgart

Maria Papadimitraki University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.