Embedded Files
Book chapter
R. Prevost, B. Mory, R. Cuingnet, J.-M. Correas, L.D. Cohen and R. Ardon. Kidney Detection and Segmentation in Contrast-Enhanced Ultrasound 3D Images. In Abdomen and Thoracic Imaging, 2014, pp. 37-67. Springer US.
Original publications in peer-reviewed journals
Cuingnet, R., Ladegaillerie, Y., Jossent, J., Maitrot, A., Chedal-Anglay, J., Richard, W., Bernard M., Woolfenden J., Birot E., Chenu, D. (2022). PortiK: A computer vision based solution for real-time automatic solid waste characterization–Application to an aluminium stream. Waste Management, 2022, 150, 267-279.
R. Gauriau, R. Cuingnet, D. Lesage, I. Bloch, Multi-Organ Localization with Cascaded Global-to-Local Regression and Shape Prior, Medical Image Analysis, 2015, 23 (1): 70-83
R. Cuingnet, J. A. Glaunès, M. Chupin, H. Benali, O. Colliot and the Alzheimer’s Disease Neuroimaging Initiative, Spatial and anatomical regularization of SVM: a general framework for neuroimaging data, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(3), 682-696.
T. Samaille, L. Fillon, R. Cuingnet, E. Jouvent, H. Chabriat, D. Dormont, O. Colliot and M. Chupin, Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation, PLoS ONE 2012, 7(11).
P. Reiner, E. Jouvent, E. Duchesnay, R. Cuingnet, J.-F. Mangin, H. Chabriat and the Alzheimer’s Disease Neuroimaging Initiative, Sulcal Span in Azheimer’s Disease, Amnestic Mild Cognitive Impairment, and Healthy Controls, Journal of Alzheimer's Disease, 2012, 29 (3): 605-613.
R. Cuingnet, C. Rosso, M. Chupin, S. Lehéricy, D. Dormont, H. Benali, Y. Samson and O. Colliot, Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome, Medical Image Analysis, 2011, 15 (5): 729-737 [invited paper].
R. Cuingnet, É. Gerardin, J. Tessieras, G. Auzias, S. Lehéricy, M.-O. Habert, M. Chupin, H. Benali, O. Colliot and the Alzheimer's Disease Neuroimaging Initiative, Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database, NeuroImage, 2011, 6 (2): 766-781.
M. Chupin, É. Gerardin, R. Cuingnet, E. Bardinet, D. Dormont, O. Colliot, L. Garnero, Segmentation ciblée d'images IRM et maladie d'Alzheimer, IRBM, 2011, 32 (1): 19-26.
M. Chupin, É. Gerardin, R. Cuingnet, C. Boutet, L. Lemieux, S. Lehéricy, H. Benali, L. Garnero, O. Colliot and the Alzheimer's Disease Neuroimaging Initiative, Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI, Hippocampus, 2009, 19 (6): 579-587.
É. Gerardin; G. Chételat, M. Chupin, R. Cuingnet, B. Desgranges, H.S. Kim, M. Niethammer, B. Dubois, S Lehéricy, L. Garnero, F. Eustache, O. Colliot, and the Alzheimer’s Disease Neuroimaging Initiative, Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging, NeuroImage, 2009, 47 (4): 1476-1486.
Peer-reviewed conference papers
J. Mahé, N. Linard, M. Kohandani Tafreshi, T. Vercauteren, N. Ayache, F. Lacombe, R. Cuingnet, Motion-Aware Mosaicing for Confocal Laser Endomicroscopy, In Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 (pp. 447-454). Springer International Publishing [poster].
R. Ardon, R. Cuingnet, K. Bacchuwar, V. Auvray, Fast Kidney Detection and Segmentation with Learned Kernel Convolution and Model Deformation in 3D Ultrasound Images, IEEE International Symposium on Biomedical Imaging, 2015 [oral].
R. Prevost, R. Cuingnet, B. Mory, L.D. Cohen, R. Ardon, Tagged Template Deformation, Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, 674-681 [poster].
R. Gauriau, R. Cuingnet, D. Lesage, I. Bloch, Multi-organ Localization Combining Global-to-Local Regression and Confidence Maps, Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, 337-344 [poster].
(Supplementary Material)
M. De Craene, M. Alessandrini, P. Allain, S. Marchesseau, I. Waechter-Stehle, J. Weese, E. Saloux, H. G. Morales, R. Cuingnet, H. Delingette, M. Sermesant, O. Bernard, J. D'hooge, Generation of ultra-realistic synthetic echocardiographic sequences. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on (pp. 73-76).
R. Prevost, R. Cuingnet, B. Mory, L.D. Cohen, R. Ardon, Incorporating shape variability in image segmentation via implicit template deformation, In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013 (pp. 82-89). Springer Berlin Heidelberg [oral, speaker R. Prevost].
R. Prevost, B. Romain, R. Cuingnet, B. Mory, L. Rouet, O. Lucidarme, L.D. Cohen, R. Ardon, Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-Segmentation, Medical Image Computing Computer Assisted Intervention, 2013 [poster] to appear.
R. Gauriau, R. Cuingnet, R. Prevost, B. Mory, R. Ardon, D. Lesage, I. Bloch, A generic, robust and fully-automatic workflow for 3D CT liver segmentation, Proceedings of the 5 th Workshop on Computational and Clinical Applications in Abdominal Imaging in conjunction with MICCAI 2013. In Abdominal Imaging. Computation and Clinical Applications (pp. 241-250). Springer Berlin Heidelberg [oral, speaker R. Gauriau].
M. Yaqub, R. Cuingnet, R. Napolitano, D. Roundhill, A. Papageorghiou, R. Ardon, J. A. Noble, Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound, Workshop on Machine Learning in Medical Imaging (MLMI) in conjunction with MICCAI 2013 (pp. 25-32). Springer International Publishing.[poster].
R. Prevost, R. Cuingnet, B. Mory, J.-M. Correas, L.D. Cohen, R. Ardon, Joint Co-Segmentation and Registration of 3D Ultrasound Images, Proceedings of the International Conference on Information Processing in Medical Imaging (IPMI), 2013, LNCS 7917: 268-279 [poster].
R. Cuingnet, O. Somphone, B. Mory, R. Prevost, M. Yaqub, R. Napolitano, A. Papageorghiou, D. Roundhill, J.A. Noble, R. Ardon, Where is my Baby? A Fast Fetal Head Auto-Alignment in 3D-Ultrasound, Proceedings of the the IEEE International Symposium on Biomedical Imaging (ISBI) 2013: from Nano to Macro, April 2013, San Francisco, CA, USA [poster].
R. Cuingnet, R. Prevost, D. Lesage, L.D. Cohen, B. Mory, R. Ardon, Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests, Medical Image Computing Computer Assisted Intervention, 2012 [oral].
T. Samaille, O. Colliot, R. Cuingnet, E. Jouvent, H. Chabriat, D. Dormont, M. Chupin, Automatic segmentation of white matter hyperintensities robust to multicentre acquisition and pathological variability, Proceedings of the SPIE Symposium on Medical Imaging 2011, Paper 8314-150 [poster].
R. Cuingnet, J. A. Glaunès, M. Chupin, H. Benali and O. Colliot, Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer’s Disease, Proceedings of the Second International Workshop on Machine Learning in Medical Imaging (MLMI) in conjunction with MICCAI 2011, LNCS, 2011, 7009: 201-208 [oral (acceptance rate 20%)].
R. Cuingnet, M. Chupin, H. Benali and O. Colliot, Spatial and anatomical regularization of SVM for brain image analysis, Proceedings of the Neural Information Processing Systems conference (NIPS 2010), 2010, pages 460-468 [poster (acceptance rate 24%)— Travel Award].
R. Cuingnet, C. Rosso, S. Lehéricy, D. Dormont, H. Benali, Y. Samson and O. Colliot, Spatially regularized SVM for the detection of brain areas associated with stroke outcome, Medical Image Computing Computer Assisted Intervention, 2010, LNCS 13 (Pt 1):316-23 [oral (acceptance rate 6%) – Young Scientist Award].
R. Cuingnet, M. Chupin, H. Benali and O. Colliot, Spatial prior in SVM-based classification of brain images, Proceedings of the SPIE Symposium on Medical Imaging 2010 San Diego, 7624, 76241L (2010) [oral].
M. Chupin, R. Cuingnet, L. Lemieux, S. Lehéricy, H. Benali, L. Garnero and O. Colliot, Fully Automatic Hippocampus Segmentation Discriminates between Alzheimer's Disease and Normal Aging — Data from the ADNI database, In Proceedings of the International Workshop on the Computational Anatomy and Physiology of the Hippocampus (CAPH'08, MICCAI'08), 2008 35-45 [oral, speaker M. Chupin].
Conference abstracts
R. Cuingnet, É. Gérardin, J. Tessieras, G. Auzias, S. Lehéricy, M.O. Habert, M. Chupin, H. Benali, O. Colliot and the Alzheimer's Disease Neuroimaging Initiative, Comparison of ten methods to automatically detect Alzheimer’s disease from structural MRI, In Proceedings of the 16th International Conference on Functional Mapping of the Human Brain, 2010, Barcelona, Spain [poster].
C. Rosso, G. Auzias, R. Cuingnet, So. Crozier, E. Bardinet, S. Lehéricy, S. Baillet and Y. Samson, Acute and follow-up MCA infarct probability maps in stroke patients with MCA occlusion, Proceedings of the ISMRM 17th Annual Scientific Meeting and Exhibition, Honolulu, Hawaii, 2009 CD-ROM [poster].
R. Cuingnet, O. Colliot, B. Magnin, M. Chupin, B. Dubois, S. Lehéricy, H. Benali and the Alzheimer's Disease Neuroimaging Initiative, Detection of prodromal Alzheimer's disease using whole-brain atlas-based classification. Proceedings of the 15th International Conference on Functional Mapping of the Human Brain, 2009, San Francisco, Californie, USA [poster].
É. Gerardin, M. Chupin, R. Cuingnet, B. Dubois, S. Lehéricy, L. Garnero, O. Colliot and the Alzheimer's Disease Neuroimaging Initiative, SVM classification of patients with Alzheimer's disease and mild cognitive impairment using hippocampal shape features. Proceedings of the 15th International Conference on Functional Mapping of the Human Brain, 2009, San Francisco, Californie, USA [poster].
Thesis
R. Cuingnet, Contributions to statistical learning for structural neuroimaging data – Contributions à l’apprentissage automatique pour l’analyse d’images cérébrales anatomiques, PhD Thesis, University of Paris Sud 11.
Other reports
R. Cuingnet, On the Computation of the Logarithm of the Modified Bessel Function of the Second Kind. 2023, Technical Report Veolia.
R. Cuingnet, Bayesian Inference of Normal Distribution Parameters with Aggregate Data. 2021, Technical Report Veolia.
R. Cuingnet, Prediction of infarct growth — Prédiction du potentiel de croissance de l’infarctus cérébral, master thesis under the supervision of Sylvain Baillet, 2007.
R. Cuingnet, Detection & Extraction of Detailed Facial Features, research intership at UPenn under the supervision of Timothee Cour and Jianbo Shi, 2006. [pdf]
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