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PortiK: A computer vision based solution for real-time automatic solid waste characterization – Application to an aluminium stream

 Rémi Cuingnet , Yannik Ladegaillerie , Jérôme Jossent , Aude Maitrot , Julien Chedal-Anglay , et al.
2022
Pré-publication, Document de travail hal-04128111v1

Tagged Template Deformation

 Benoît Mory , Laurent D. Cohen , Raphaël Prevost , Roberto Ardon , Rémi Cuingnet
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014), Sep 2014, boston, United States
Communication dans un congrès hal-01100398v1
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Contrast-based fully automatic segmentation of white matter hyperintensities: method and validation

 Thomas Samaille , Ludovic Fillon , Rémi Cuingnet , Eric Jouvent , Hugues Chabriat , et al.
PLoS ONE, 2012, 7 (11), pp.e48953. ⟨10.1371/journal.pone.0048953⟩
Article dans une revue hal-00789657v1

Multi-organ localization with cascaded global-to-local regression and shape prior

 Romane Gauriau , Rémi Cuingnet , D. Lesage , Isabelle Bloch
Medical Image Analysis, 2015, 23, pp.70-83
Article dans une revue hal-01152420v1
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Generation of ultra-realistic synthetic echocardiographic sequences

 Mathieu de Craene , Martino Alessandrini , Pascal Allain , Stephanie Marchesseau , I Waechter-Stehle , et al.
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on, Apr 2014, Beijing, China. pp.73 - 76, ⟨10.1109/ISBI.2014.6867812⟩
Communication dans un congrès hal-01095133v1

Segmentation ciblée d’images IRM et maladie d’Alzheimer

 Marie Chupin , Emilie Gérardin , Rémi Cuingnet , Eric Bardinet , Didier Dormont , et al.
Innovation and Research in BioMedical engineering, 2011
Article dans une revue hal-01413898v1

Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-Segmentation

 Raphaël Prevost , Blandine Romain , Rémi Cuingnet , Benoît Mory , Laurence Rouet , et al.
16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), Sep 2013, Nagoya, Japan
Communication dans un congrès hal-00906317v1
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Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome

 Rémi Cuingnet , Charlotte Rosso , Stéphane Lehéricy , Didier Dormont , Habib Benali , et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, 2010, Beijing, China. pp.316 - 323, ⟨10.1007/978-3-642-15705-9_39⟩
Communication dans un congrès hal-01439126v1

Incorporating Shape Variability in Image Segmentation via Implicit Template Deformation

 Raphael Prevost , Rémi Cuingnet , Benoît Mory , Laurent D. Cohen , Roberto Ardon
Biomedical Image Segmentation: Advances and Trends, CRC Press, 2016
Chapitre d'ouvrage hal-01415070v1

Incorporating shape variability in image segmentation via implicit template deformation

 Raphaël Prevost , Rémi Cuingnet , Benoît Mory , Laurent D. Cohen , Roberto Ardon
MICCAI 2013, Sep 2013, Nagoya, Japan
Communication dans un congrès hal-00906312v1

Multi-organ localization combining global-to-local regression and confidence maps

 Romane Gauriau , Rémi Cuingnet , David Lesage , Isabelle Bloch
MICCAI, 2014, Boston, United States. pp.337-344
Communication dans un congrès hal-01138091v1

Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound.

 R. Cuingnet , O. Somphone , B. Mory , R. Prevost , M. Yaqub , et al.
10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2013), Apr 2013, San Francisco, California, United States. pp.768-771, ⟨10.1109/ISBI.2013.6556588⟩
Communication dans un congrès hal-00925294v1

Kidney Detection and Segmentation in Contrast-Enhanced Ultrasound 3D Images

 Raphaël Prevost , Benoît Mory , Rémi Cuingnet , Jean-Michel Corréas , Laurent D. Cohen , et al.
Abdomen and Thoracic Imaging, Springer, 2014
Chapitre d'ouvrage hal-01100413v1
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Contributions à l’apprentissage automatique pour l’analyse d’images cérébrales anatomiques

 Rémi Cuingnet
Autre [cond-mat.other]. Université Paris Sud - Paris XI, 2011. Français. ⟨NNT : 2011PA112033⟩
Thèse tel-00602032v1

Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI

 Marie Chupin , Emilie Gérardin , Rémi Cuingnet , Claire Boutet , Louis Lemieux , et al.
Hippocampus, 2009, 19 (6), pp.579-87. ⟨10.1002/hipo.20626⟩
Article dans une revue hal-00805428v1
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Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests

 Rémi Cuingnet , Raphaël Prevost , David Lesage , Laurent D. Cohen , Benoît Mory , et al.
The 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Oct 2012, Nice, France. pp.66-74, ⟨10.1007/978-3-642-33454-2_9⟩
Communication dans un congrès hal-00779698v1
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Bayesian Inference of Normal Distribution Parameters with Aggregate Data

 Remi Cuingnet
2021
Pré-publication, Document de travail hal-03441510v1
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Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

 Emilie Gerardin , Gaël Chételat , Marie Chupin , Rémi Cuingnet , Béatrice Desgranges , et al.
NeuroImage, 2009, 47 (4), pp.1476-86. ⟨10.1016/j.neuroimage.2009.05.036⟩
Article dans une revue hal-00805434v1
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Motion-Aware Mosaicing for Confocal Laser Endomicroscopy

 Jessie Mahé , Nicolas Linard , Marzieh Kohandani Tafreshi , Tom Vercauteren , Nicholas Ayache , et al.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Oct 2015, Munich, Germany. pp.447-454, ⟨10.1007/978-3-319-24553-9_55⟩
Communication dans un congrès hal-01208437v1
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A generic, robust and fully-automatic workflow for 3D CT liver segmentation

 Romane Gauriau , Rémi Cuingnet , Raphael Prevost , Benoit Mory , Roberto Ardon , et al.
MICCAI Workshop on Abdominal Imaging, Sep 2013, Nagoya, Japan. pp.241-250
Communication dans un congrès hal-00917847v1
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Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database

 Rémi Cuingnet , Emilie Gerardin , Jérôme Tessieras , Guillaume Auzias , Stéphane Lehéricy , et al.
NeuroImage, 2011, 56 (2), pp.766-81. ⟨10.1016/j.neuroimage.2010.06.013⟩
Article dans une revue hal-00795739v1

Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease

 R. Cuingnet , Joan Alexis Glaunès , Marie Chupin , Habib Benali , Olivier Colliot , et al.
MICCAI Workshop on Machine Learning in Medical Imaging, Sep 2011, Toronto, Canada. pp.201-208, ⟨10.1007/978-3-642-24319-6_25⟩
Communication dans un congrès istex hal-00712091v1

Automatic segmentation of white matter hyperintensities robust to multicentre acquisition and pathological variability

 Thomas Samaille , Olivier Colliot , Rémi Cuingnet , Eric Jouvent , Hugues Chabriat , et al.
SPIE 2012 - Symposium on Medical Imaging, Feb 2012, San Diego, United States. pp.1-9, ⟨10.1117/12.910268⟩
Communication dans un congrès hal-00817381v1
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Spatial and anatomical regularization of SVM for brain image analysis

 Rémi Cuingnet , Marie Chupin , Habib Benali , Olivier Colliot
Neural Information Processing Systems NIPS 2010, 2010, Vancouver, Canada
Communication dans un congrès hal-01439123v1
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Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data

 Rémi Cuingnet , Joan Alexis Glaunès , Marie Chupin , Habib Benali , Olivier Colliot
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35 (3), pp.682 - 696. ⟨10.1109/TPAMI.2012.142⟩
Article dans une revue hal-00790079v1

Joint Co-Segmentation and Registration of Ultrasound Images

 Raphaël Prevost , Rémi Cuingnet , Benoît Mory , Jean-Michel Corréas , Laurent D. Cohen , et al.
IPMI 2013, Jun 2013, Asilomar, United States
Communication dans un congrès hal-00906322v1

Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome

 Rémi Cuingnet , Charlotte Rosso , Marie Chupin , Stéphane Lehéricy , Didier Dormont , et al.
Medical Image Analysis, 2011, 15 (5), pp.729-37. ⟨10.1016/j.media.2011.05.007⟩
Article dans une revue istex hal-00795741v1
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