Author of the publication

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

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.

J. Wen, E. Thibeau-Sutre, J. Samper-González, A. Routier, S. Bottani, S. Durrleman, N. Burgos, and O. Colliot. CoRR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Stanley Durrleman

Dolores Stanley

Stanley Baksi

Stanley Heinze

Stanley Tang

Other publications of authors with the same name

Learning the spatiotemporal variability in longitudinal shape data sets.A. Bône, O. Colliot, and S. Durrleman. Int. J. Comput. Vis., 128 (12): 2873-2896 (2020)A Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles.B. Gris, S. Durrleman, and A. Trouvé. SIAM J. Imaging Sci., 11 (1): 802-833 (2018)Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects.I. Koval, S. Allassonnière, and S. Durrleman. CoRR, (2019)Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression.R. Couronné, P. Vernhet, and S. Durrleman. MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 231-241. Springer, (2021)Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders.A. Bône, P. Vernhet, O. Colliot, and S. Durrleman. MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 202-211. Springer, (2020)Progression Models for Imaging Data with Longitudinal Variational Auto Encoders.B. Sauty, and S. Durrleman. MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort.C. Cury, S. Durrleman, D. Cash, M. Lorenzi, J. Nicholas, M. Bocchetta, J. van Swieten, B. Borroni, D. Galimberti, M. Masellis and 9 other author(s). NeuroImage, (2019)Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.J. Wen, E. Thibeau-Sutre, M. Diaz-Melo, J. Samper-González, A. Routier, S. Bottani, D. Dormont, S. Durrleman, N. Burgos, and O. Colliot. Medical Image Anal., (2020)Learning Disease Progression Models With Longitudinal Data and Missing Values.R. Couronné, M. Vidailhet, J. Corvol, S. Lehéricy, and S. Durrleman. ISBI, page 1033-1037. IEEE, (2019)Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories.V. Debavelaere, A. Bône, S. Durrleman, and S. Allassonnière. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 66-74. Springer, (2019)

BibSonomy

Disambiguation of "Durrleman, Stanley"

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

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.

Please choose a person to relate this publication to

Stanley Durrleman

Dolores Stanley

Stanley Baksi

Stanley Heinze

Stanley Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Durrleman, Stanley"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.

Please choose a person to relate this publication to

Stanley Durrleman

Dolores Stanley

Stanley Baksi

Stanley Heinze

Stanley Tang

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
Harvard
MSOffice XML

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.