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Learning non-linear patch embeddings with neural networks for label fusion.

G. Sanroma, O. Benkarim, G. Piella, O. Camara, G. Wu, D. Shen, J. Gispert, J. Molinuevo, M. Ballester, and A. Initiative. Medical Image Analysis, (2018)

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M. Nudischer

M. Kratzer

M. Liewald

M. Fittingho

M. Christmann

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Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates.G. Sanroma, O. Benkarim, G. Piella, and M. Ballester. MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 27-35. (2016)Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.O. Benkarim, G. Sanroma, G. Piella, I. Rekik, N. Hahner, E. Eixarch, M. Ballester, D. Shen, and G. Li. MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 620-627. Springer, (2018)Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning.O. Benkarim, G. Piella, M. Ballester, and G. Sanroma. MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 505-512. (2016)Patch spaces and fusion strategies in patch-based label fusion.O. Benkarim, G. Piella, N. Hahner, E. Eixarch, M. Ballester, and G. Sanroma. Comp. Med. Imag. and Graph., (2019)Discriminative confidence estimation for probabilistic multi-atlas label fusion.O. Benkarim, G. Piella, M. Ballester, and G. Sanroma. Medical Image Analysis, (2017)Learning non-linear patch embeddings with neural networks for label fusion.G. Sanroma, O. Benkarim, G. Piella, O. Camara, G. Wu, D. Shen, J. Gispert, J. Molinuevo, M. Ballester, and A. Initiative. Medical Image Analysis, (2018)Fetal cortical parcellation based on growth patterns.J. Xia, C. Zhang, F. Wang, O. Benkarim, G. Sanroma, G. Piella, M. Ballester, N. Hahner, E. Eixarch, D. Shen and 1 other author(s). ISBI, page 696-699. IEEE, (2018)Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation.O. Benkarim, P. Radeva, and L. Igual. AMDO, volume 8563 of Lecture Notes in Computer Science, page 138-147. Springer, (2014)Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.L. Wang, D. Nie, G. Li, É. Puybareau, J. Dolz, Q. Zhang, F. Wang, J. Xia, Z. Wu, J. Chen and 19 other author(s). IEEE Trans. Med. Imaging, 38 (9): 2219-2230 (2019)Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation.G. Sanroma, O. Benkarim, G. Piella, K. Lekadir, N. Hahner, E. Eixarch, and M. Ballester. Comp. Med. Imag. and Graph., (2018)

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Disambiguation of "Benkarim, Oualid M."

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Learning non-linear patch embeddings with neural networks for label fusion.

Please choose a person to relate this publication to

M. Nudischer

M. Kratzer

M. Liewald

M. Fittingho

M. Christmann

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Benkarim, Oualid M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning non-linear patch embeddings with neural networks for label fusion.

Please choose a person to relate this publication to

M. Nudischer

M. Kratzer

M. Liewald

M. Fittingho

M. Christmann

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
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Learning non-linear patch embeddings with neural networks for label fusion.