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Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.

S. Tsao, N. Gajawelli, J. Zhou, J. Shi, J. Ye, Y. Wang, and N. Leporé. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90342L. SPIE, (2014)

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Fiber estimation and tractography in diffusion MRI: Development of simulated brain images and comparison of multi-fiber analysis methods at clinical b-values.B. Wilkins, N. Lee, N. Gajawelli, M. Law, and N. Leporé. NeuroImage, (2015)Central sulcus development in early childhood.N. Gajawelli, S. Deoni, H. Dirks, D. III, J. O'Muircheartaigh, Y. Wang, M. Nelson, O. Coulon, and N. Leporé. EMBC, page 161-164. IEEE, (2017)Characterization of the central sulcus in the brain in early childhood.N. Gajawelli, S. Deoni, H. Dirks, D. III, J. O'Muircheartaigh, S. Sawardekar, A. Ezis, Y. Wang, M. Nelson, O. Coulon and 1 other author(s). EMBC, page 149-152. IEEE, (2015)Cranial thickness changes in early childhood.N. Gajawelli, S. Deoni, J. Shi, H. Dirks, M. Linguraru, M. Nelson, Y. Wang, and N. Leporé. SIPAIM, volume 10572 of SPIE Proceedings, page 105720O. SPIE, (2017)EdgeRunner: a novel shape-based pipeline for tumours analysis and characterisation.F. Yepes-Calderon, D. Hwang, R. Johnson, D. Bhushan, N. Gajawelli, S. Cen, B. Quinn, F. Yap, I. Gill, N. Leporé and 1 other author(s). Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (1): 84-92 (2018)Automated Segmentation of the Hippocampus in Pediatric Imaging.R. Rouhi, J. Tanedo, I. Wei, M. Valder, S. Zanjal, N. Gajawelli, M. Nelson, S. Deoni, Y. Wang, M. Linguraru and 1 other author(s). SIPAIM, page 1-5. IEEE, (2023)3D pre- versus post-season comparisons of surface and relative pose of the corpus callosum in contact sport athletes.Y. Lao, N. Gajawelli, L. Haas, B. Wilkins, D. Hwang, S. Tsao, Y. Wang, M. Law, and N. Leporé. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90344E. SPIE, (2014)Central sulcus depth and sulcal profile differences between congenitally blind and sighted individuals.C. James, F. Lepore, O. Collignon, N. Gajawelli, N. Leporé, and O. Coulon. EMBC, page 3008-3011. IEEE, (2017)Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.S. Tsao, N. Gajawelli, J. Zhou, J. Shi, J. Ye, Y. Wang, and N. Leporé. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90342L. SPIE, (2014)

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Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.

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Disambiguation of "Gajawelli, Niharika"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.

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Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.