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Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

B. Munsell, C. Wee, S. Keller, B. Weber, C. Elger, L. da Silva, T. Nesland, M. Styner, D. Shen, and L. Bonilha. NeuroImage, (2015)

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Martin Baumann

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Univ. -Prof. Martin Ostermann University of Stuttgart

Dr. Martin Rose University of Stuttgart

Other publications of authors with the same name

A method for frame-by-frame us to CT registration in a joint calibration and registration framework.M. Peterhans, H. Talib, M. Linguraru, M. Styner, and M. Ballester. ISBI, page 1131-1134. IEEE, (2008)Longitudinal Image Registration With Temporally-Dependent Image Similarity Measure.I. Csapo, B. Davis, Y. Shi, M. Sanchez, M. Styner, and M. Niethammer. IEEE Trans. Med. Imaging, 32 (10): 1939-1951 (2013)Skeletal Shape Correspondence Through Entropy.L. Tu, M. Styner, J. Vicory, S. Elhabian, R. Wang, J. Hong, B. Paniagua, J. Prieto, D. Yang, R. Whitaker and 1 other author(s). IEEE Trans. Med. Imaging, 37 (1): 1-11 (2018)TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.Y. Li, J. Gilmore, J. Wang, M. Styner, W. Lin, and H. Zhu. IEEE Trans. Med. Imaging, 31 (5): 1100-1112 (2012)Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms.M. Schaap, C. Metz, T. van Walsum, A. van der Giessen, A. Weustink, N. Mollet, C. Bauer, H. Bogunovic, C. Castro-Gonzalez, X. Deng and 20 other author(s). Medical Image Analysis, 13 (5): 701-714 (2009)Quantitative tract-based white matter heritability in twin neonates.S. Lee, R. Steiner, S. Luo, M. Neale, M. Styner, H. Zhu, and J. Gilmore. NeuroImage, (2015)Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.B. Munsell, C. Wee, S. Keller, B. Weber, C. Elger, L. da Silva, T. Nesland, M. Styner, D. Shen, and L. Bonilha. NeuroImage, (2015)Associations between white matter microstructure and infants' working memory.S. Short, J. Elison, B. Goldman, M. Styner, H. Gu, M. Connelly, E. Maltbie, S. Woolson, W. Lin, G. Gerig and 2 other author(s). NeuroImage, (2013)Group-wise automatic mesh-based analysis of cortical thickness.C. Vachet, H. Hazlett, M. Niethammer, I. Oguz, J. Cates, R. Whitaker, J. Piven, and M. Styner. Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796227. SPIE, (2011)Conditional Local Distance Correlation for Manifold-Valued Data.W. Pan, X. Wang, C. Wen, M. Styner, and H. Zhu. IPMI, volume 10265 of Lecture Notes in Computer Science, page 41-52. Springer, (2017)

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Disambiguation of "Styner, Martin"

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Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

Please choose a person to relate this publication to

Martin Baumann

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Univ. -Prof. Martin Ostermann University of Stuttgart

Dr. Martin Rose University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Styner, Martin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

Please choose a person to relate this publication to

Martin Baumann

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Univ. -Prof. Martin Ostermann University of Stuttgart

Dr. Martin Rose University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.