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Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms.

B. Wade, J. Sui, S. Njau, A. Leaver, M. Vasvada, B. Gutman, P. Thompson, R. Espinoza, R. Woods, C. Abbott, K. Narr, and S. Joshi. ISBI, page 502-506. IEEE, (2017)

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Boris A Zürcher

Boris A Brühmann

Martin Gutman

Daniel Gutman

Other publications of authors with the same name

Machine learning on high dimensional shape data from subcortical brain surfaces: A comparison of feature selection and classification methods.B. Wade, S. Joshi, B. Gutman, and P. Thompson. Pattern Recognit., (2017)A Family of Fast Spherical Registration Algorithms for Cortical Shapes.B. Gutman, S. Madsen, A. Toga, and P. Thompson. MBIA, volume 8159 of Lecture Notes in Computer Science, page 246-257. Springer, (2013)Simultaneous Longitudinal Registration with Group-Wise Similarity Prior.G. Fleishman, B. Gutman, P. Fletcher, and P. Thompson. IPMI, volume 9123 of Lecture Notes in Computer Science, page 746-757. Springer, (2015)Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms.A. Mussabayeva, A. Kroshnin, A. Kurmukov, Y. Denisova, L. Shen, S. Cong, L. Wang, and B. Gutman. ShapeMI@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 160-168. Springer, (2018)Predicting future cognitive decline with hyperbolic stochastic coding.J. Zhang, Q. Dong, J. Shi, Q. Li, C. Stonnington, B. Gutman, K. Chen, E. Reiman, R. Caselli, P. Thompson and 2 other author(s). Medical Image Anal., (2021)A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex.D. Moyer, B. Gutman, N. Jahanshad, and P. Thompson. IPMI, volume 10265 of Lecture Notes in Computer Science, page 336-347. Springer, (2017)Approximating principal genetic components of subcortical shape.B. Gutman, F. Pizzagalli, N. Jahanshad, M. Wright, K. McMahon, G. de Zubicaray, and P. Thompson. ISBI, page 1226-1230. IEEE, (2017)Deep Learning for Quality Control of Subcortical Brain 3D Shape Models.D. Petrov, B. Gutman, E. Kuznetsov, C. Ching, K. Alpert, A. Zavaliangos-Petropulu, D. Isaev, J. Turner, T. van Erp, L. Wang and 3 other author(s). ShapeMI@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 268-276. Springer, (2018)Morph-Transformer: A Deep Spatiotemporal Framework for Shape Analysis in Longitudinal Neuroimaging.Y. Zhao, and B. Gutman. ISBI, page 1-5. IEEE, (2024)Fragflow automated fragment detection in scientific workflowsD. Garijo, O. Corcho, Y. Gil, B. Gutman, I. Dinov, P. Thompson, and A. Toga. 2014 IEEE 10th International Conference on e-Science, 1, page 281--289. IEEE, (2014)

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Disambiguation of "Gutman, Boris A."

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Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms.

Please choose a person to relate this publication to

Boris A Zürcher

Boris A Brühmann

Martin Gutman

Daniel Gutman

Daniel Gutman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gutman, Boris A."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms.

Please choose a person to relate this publication to

Boris A Zürcher

Boris A Brühmann

Martin Gutman

Daniel Gutman

Daniel Gutman

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

Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms.