default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEdouard Duchesnay
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j16]Benoit Dufumier
, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay:
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage 296: 120665 (2024)- [c23]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori:
Separating common from salient patterns with Contrastive Representation Learning. ICLR 2024 - [c22]Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay:
Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI 2024: 1-5 - [c21]Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay:
How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? ISBI 2024: 1-5 - [i9]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori:
Separating common from salient patterns with Contrastive Representation Learning. CoRR abs/2402.11928 (2024) - 2023
- [j15]Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane:
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. Frontiers Neuroinformatics 17 (2023) - [c20]Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori:
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML 2023: 8851-8878 - [c19]Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin:
Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. ISBI 2023: 1-5 - [c18]Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori:
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI 2023: 1-4 - [c17]Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto:
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA 2023: 318-323 - [c16]Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis:
MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI 2023: 102-111 - [i8]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori:
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR abs/2307.06206 (2023) - 2022
- [j14]Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay:
OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. NeuroImage 263: 119637 (2022) - [d1]Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay:
OpenBHB: a Multi-Site Brain MRI Dataset for Age Prediction and Debiasing. IEEE DataPort, 2022
- [i7]Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori:
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR abs/2206.01646 (2022) - [i6]Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori:
Contrastive learning for regression in multi-site brain age prediction. CoRR abs/2211.08326 (2022) - 2021
- [c15]Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay:
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) 2021: 58-68 - [c14]Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay:
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) 2021: 755-771 - [i5]Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR abs/2106.01132 (2021) - [i4]Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay:
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR abs/2106.08808 (2021) - [i3]Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay:
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR abs/2107.01988 (2021) - [i2]Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR abs/2111.05643 (2021) - 2020
- [b2]Edouard Duchesnay:
Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models. University of Paris-Saclay, France, 2020
2010 – 2019
- 2018
- [j13]Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Renaud Jardri, Thomas Fovet, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay:
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. IEEE Trans. Medical Imaging 37(2): 396-407 (2018) - [j12]Fouad Hadj-Selem, Tommy Löfstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay:
Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. IEEE Trans. Medical Imaging 37(11): 2403-2413 (2018) - [c13]Amicie de Pierrefeu, Tommy Löfstedt, Charles Laidi, Fouad Hadj-Selem, Marion Leboyer, Philippe Ciuciu, Josselin Houenou, Edouard Duchesnay:
Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity. PRNI 2018: 1-4 - [e1]Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier:
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - 2017
- [c12]Yann Le Guen, Guillaume Auzias, Ghislaine Dehaene-Lambertz, François Leroy, Jean-François Mangin, Edouard Duchesnay, Olivier Coulon, Vincent Frouin:
Regional study of the genetic influence on the sulcal pits. ISBI 2017: 77-80 - 2014
- [c11]Mathieu Dubois, Fouad Hadj-Selem, Tommy Löfstedt, Matthieu Perrot, Clara Fischer, Vincent Frouin, Edouard Duchesnay:
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. PRNI 2014: 1-4 - 2013
- [c10]Anne-Laure Fouque, Clara Fischer, Vincent Frouin, Philippe Ciuciu, Edouard Duchesnay:
Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data. PRNI 2013: 186-189 - 2012
- [j11]Edith Le Floch, Vincent Guillemot, Vincent Frouin, Philippe Pinel, Christophe Lalanne, Laura Trinchera, Arthur Tenenhaus, Antonio Moreno, Monica Zilbovicius, Thomas Bourgeron, Stanislas Dehaene, Bertrand Thirion, Jean-Baptiste Poline, Edouard Duchesnay:
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage 63(1): 11-24 (2012) - [c9]Edith Le Floch, Philippe Pinel, Arthur Tenenhaus, Laura Trinchera, Jean-Baptiste Poline, Vincent Frouin, Edouard Duchesnay:
Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares. ISBI 2012: 1503-1506 - [i1]Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay:
Scikit-learn: Machine Learning in Python. CoRR abs/1201.0490 (2012) - 2011
- [j10]Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay:
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12: 2825-2830 (2011) - [j9]Edouard Duchesnay, Arnaud Cachia, Nathalie Boddaert, Nadia Chabane, Jean-François Mangin, Jean-Luc Martinot, Francis Brunelle, Monica Zilbovicius:
Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders. NeuroImage 57(3): 1003-1014 (2011) - [c8]Cécilia Damon, Edouard Duchesnay, Marine Depecker:
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease. ICMLA (2) 2011: 384-387 - [c7]Anne-Laure Fouque, Pierre Fillard, Anne Bargiacchi, Arnaud Cachia, Monica Zilbovicius, Benjamin Thyreau, Edith Le Floch, Philippe Ciuciu, Edouard Duchesnay:
Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor. MICCAI (2) 2011: 9-16 - 2010
- [c6]Jean-Baptiste Poline, Christophe Lalanne, Arthur Tenenhaus, Edouard Duchesnay, Bertrand Thirion, Vincent Frouin:
Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. COMPSTAT 2010: 101-110
2000 – 2009
- 2008
- [j8]Arnaud Cachia, Marie-Laure Paillère-Martinot, André Galinowski, Dominique Januel, Renaud de Beaurepaire, Frank Bellivier, Eric Artiges, Jamila Andoh, David Bartrés-Faz, Edouard Duchesnay, Denis Rivière, Marion Plaze, Jean-François Mangin, Jean-Luc Martinot:
Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations. NeuroImage 39(3): 927-935 (2008) - [j7]Albertine Dubois, Anne-Sophie Hérard, Guillaume Flandin, Edouard Duchesnay, Laurent Besret, Vincent Frouin, Philippe Hantraye, Gilles Bonvento, Thierry Delzescaux:
Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation. NeuroImage 40(2): 482-494 (2008) - [j6]Renaud Maroy, Raphaël Boisgard, Claude Comtat, Vincent Frouin, Pascal Cathier, Edouard Duchesnay, Frédéric Dollé, Peter E. Nielsen, Régine Trébossen, Bertrand Tavitian:
Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics. IEEE Trans. Medical Imaging 27(3): 342-354 (2008) - [c5]Zhong Yi Sun, Denis Rivière, Edouard Duchesnay, Bertrand Thirion, Fabrice Poupon, Jean-François Mangin:
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging. ISBI 2008: 1629-1632 - 2007
- [j5]Edouard Duchesnay, Arnaud Cachia, Alexis Roche, Denis Rivière, Yann Cointepas, Dimitri Papadopoulos-Orfanos, Monica Zilbovicius, Jean-Luc Martinot, Jean Régis, Jean-François Mangin:
Classification Based on Cortical Folding Patterns. IEEE Trans. Medical Imaging 26(4): 553-565 (2007) - 2006
- [j4]Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Denis Le Bihan, Stanislas Dehaene:
Inverse retinotopy: Inferring the visual content of images from brain activation patterns. NeuroImage 33(4): 1104-1116 (2006) - [c4]Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Stanislas Dehaene:
Reading the brain visual system as an inverse problem. ISBI 2006: 1060-1063 - 2004
- [j3]Jean-François Mangin, Fabrice Poupon, Edouard Duchesnay, Denis Rivière, Arnaud Cachia, D. Louis Collins, Alan C. Evans, Jean Régis:
Brain morphometry using 3D moment invariants. Medical Image Anal. 8(3): 187-196 (2004) - [j2]Jean-François Mangin, Denis Rivière, Arnaud Cachia, Edouard Duchesnay, Yann Cointepas, Dimitri Papadopoulos-Orfanos, D. Louis Collins, Alan C. Evans, Jean Régis:
Object-based morphometry of the cerebral cortex. IEEE Trans. Medical Imaging 23(8): 968-982 (2004) - [c3]Edouard Duchesnay, Jean-François Mangin, Alexis Roche, Denis Rivière, Dimitri Papadopoulos-Orfanos, Yann Cointepas:
Population Classification Based on Structural Morphometry of Cortical Sulci. ISBI 2004: 1267-1270 - 2003
- [j1]Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet:
Cooperative agents society organized as an irregular pyramid: A mammography segmentation application. Pattern Recognit. Lett. 24(14): 2435-2445 (2003) - 2001
- [b1]Edouard Duchesnay:
Agents situés dans l'image et organisés en pyramide irrégulière: Contribution à la segmentation par une approche d'agrégation coopérative et adaptative. (Multi-agent system organized in an irregular Pyramid: Application for image segmentation). University of Rennes 1, France, 2001 - [c2]Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet, Abel Kinie:
An agent-based implementation of irregular pyramid for distributed image segmentation. ETFA (1) 2001: 409-415 - 2000
- [c1]Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet, Abel Kinie:
Irregular adaptative pyramid of agents for segmentation to interpretation of image. SMC 2000: 1574-1580
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
