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	Pour les 75 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 3 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging Z. Alaverdyan , C. Lartizien Conférence sur l'apprentissage automatique (CAp2017), Jun 2017, Grenoble, France Communication dans un congrès hal-01695655v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models Daria Zotova , Julien Jung , Carole Lartizien 6th Simulation and Synthesis in Medical Imaging (SASHIMI) workshop held in conjunction with MICCAI 2021, Sep 2021, Strasbourg, France. pp.142-152, ⟨10.1007/978-3-030-87592-3_14⟩ Communication dans un congrès hal-03404479v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe , Stefan Duffner , Carole Lartizien Medical Imaging with Deep Learning (MIDL) 2023, Jul 2023, Nashville, United States Communication dans un congrès hal-04233428v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening Zaruhi Alaverdyan , Julien Jung , Romain Bouet , Carole Lartizien Medical Image Analysis, 2020, 60, ⟨10.1016/j.media.2019.101618⟩ Article dans une revue hal-02995591v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body 18F-FDG Distributions for Oncology Applications Amandine Le Maitre , William Paul Segars , Simon Marache , Anthonin Reilhac , Mathieu Hatt , et al. Proceedings of the IEEE, 2009, 97 (12), pp.2026-2038 Article dans une revue hal-02011125v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information C. Lartizien , M. Rogez , A. Susset , F. Giammarile , E. Niaf , et al. IEEE International Symposium on Biomedical Imaging - ISBI2012, May 2012, Barcelona, Spain. pp.118-121, ⟨10.1109/ISBI.2012.6235498⟩ Communication dans un congrès hal-00830260v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI Audrey Duran , Gaspard Dussert , Carole Lartizien SPIE Medical Imaging 2022: Image Processing, Feb 2022, San Diego, United States. pp.178-184, ⟨10.1117/12.2607502⟩ Communication dans un congrès hal-03704306v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities Nicolas Pinon , Robin Trombetta , Carole Lartizien MIDL 2023, Jul 2023, Nashville, United States Communication dans un congrès hal-04067715v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification J. Lehaire , R. Flamary , Olivier Rouviere , C. Lartizien IEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.2251 - 2255, ⟨10.1109/ICIP.2014.7025456⟩ Communication dans un congrès hal-01117669v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Estimation incrémentale pour la détection non supervisée d'anomalies multivariées en imagerie médicale Geoffroy Oudoumanessah , Carole Lartizien , Michel Dojat , Florence Forbes GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-4 Communication dans un congrès hal-04437623v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography Sarah Leclerc , Erik Smistad , Joao Pedrosa , Andreas Ostvik , Fréderic Cervenansky , et al. IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2198-2210. ⟨10.1109/TMI.2019.2900516⟩ Article dans une revue hal-02054458v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information M. El Azami , A. Hammers , N. Cortes , C. Lartizien International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2013, Jun 2013, Philadelphia, United States. pp.90 - 93, ⟨10.1109/PRNI.2013.32⟩ Communication dans un congrès hal-00969104v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards frugal unsupervised detection of subtle abnormalities in medical imaging Geoffroy Oudoumanessah , Carole Lartizien , Michel Dojat , Florence Forbes 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2023, Vancouver (BC), Canada. pp.1-13 Communication dans un congrès hal-04192108v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Adaptation de domaine pour la détection automatique du cancer de la prostate en imagerie IRM multiparamétrique Léo Gautheron , Ievgen Redko , Carole Lartizien GRETSI, Sep 2017, Nice, France Communication dans un congrès hal-02011222v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Prostate Focal Peripheral Zone Lesions: Characterization at Multiparametric MR Imaging--Influence of a Computer-aided Diagnosis System E. Niaf , C. Lartizien , F. Bratan , L. Roche , Muriel Rabilloud , et al. Radiology, 2014, 271 (3), pp.761 -769. ⟨10.1148/radiol.14130448⟩ Article dans une revue hal-00977060v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans Audrey Duran , Gaspard Dussert , Olivier Rouvière , Tristan Jaouen , Pierre-Marc Jodoin , et al. Medical Image Analysis, 2022, 77, pp.102347. ⟨10.1016/j.media.2021.102347⟩ Article dans une revue hal-03704155v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone Audrey Duran , Pierre-Marc Jodoin , Carole Lartizien Medical Imaging with Deep Learning (MIDL), Jul 2020, Montreal, Canada. pp.193-204 Communication dans un congrès hal-02995640v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		OntoVIP: An ontology for the annotation of object models used for medical image simulation. Bernard Gibaud , Germain Forestier , Hugues Benoit-Cattin , Frédéric Cervenansky , Patrick Clarysse , et al. Journal of Biomedical Informatics, 2014, 52, pp.279-92. ⟨10.1016/j.jbi.2014.07.008⟩ Article dans une revue inserm-01062371v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients Verónica Muñoz-Ramírez , Nicolas Pinon , Florence Forbes , Carole Lartizien , Michel Dojat MLCN 2021 - 4th International Workshop in Machine Learning in Clinical Neuroimaging, Sep 2021, Strasbourg, France. pp.34-43, ⟨10.1007/978-3-030-87586-2_4⟩ Communication dans un congrès hal-03397081v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		PET image enhancement using artificial intelligence for better characterization of epilepsy lesions Anthime Flaus , Tahya Deddah , Anthonin Reilhac , Nicolas De Leiris , Marc Janier , et al. Frontiers in Medicine, 2022, 9, pp.1042706. ⟨10.3389/fmed.2022.1042706⟩ Article dans une revue hal-03880659v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Detection of Lesions Underlying Intractable Epilepsy on T1-Weighted MRI as an Outlier Detection Problem M El Azami , Alexander Hammers , Julien Jung , Nicolas Costes , Romain Bouet , et al. PLoS ONE, 2016, 11 (9), pp.e0161498. ⟨10.1371/journal.pone.0161498⟩ Article dans une revue hal-01437876v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Evaluation of a 3D MR/MR elastic registration method for prostate cancer imaging J. Lehaire , C. Lartizien , E. Niaf , M. Baumann , R. Souchon , et al. ESMRMB 2013 Congress, Oct 2013, Toulouse, France. n°131 p107 Communication dans un congrès hal-01278982v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		RU-Net: A refining segmentation network for 2D echocardiography Sarah Leclerc , Erik Smistad , Thomas Grenier , Carole Lartizien , Andreas Ostvik , et al. 2019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, France. pp.1160-1163, ⟨10.1109/ULTSYM.2019.8926158⟩ Communication dans un congrès hal-02570017v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Converting SVDD scores into probability estimates: Application to outlier detection M El Azami , Carole Lartizien , S. Canu Neurocomputing, 2017, 268, pp.64 - 75. ⟨10.1016/j.neucom.2017.01.103⟩ Article dans une revue hal-01592016v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Robust outlier detection with L0-SVDD M. El Azami , C. Lartizien , S. Canu European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2014, Apr 2014, Bruges, Belgium Communication dans un congrès hal-00956468v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Converting SVDD Scores into Probability Estimates M El Azami , Carole Lartizien , Stéphane Canu 24th European Symposium on Articial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2016, Bruges, Belgium. pp.483-488 Communication dans un congrès hal-01438026v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On learning a large margin classifier for domain adaptation based on similarity functions Sofien Dhouib , Ievgen Redko , Carole Lartizien 21 eme Conférence sur l'Apprentissage Automatique (CAp), Jul 2019, Toulouse, France Communication dans un congrès hal-02343988v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Learning Applied to Multi-Structure Segmentation in 2D Echocardiography: A Preliminary Investigation of the Required Database Size Sarah Leclerc , Erik Smistad , Thomas Grenier , Carole Lartizien , Andreas Ostvik , et al. 2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, France. pp.1-4, ⟨10.1109/ULTSYM.2018.8580136⟩ Communication dans un congrès hal-02093095v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography Sarah Leclerc , Erik Smistad , Andreas Ostvik , Frédéric Cervenansky , Florian Espinosa , et al. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2020, 67 (12), pp.2519-2530. ⟨10.1109/TUFFC.2020.3003403⟩ Article dans une revue hal-03149347v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A virtual imaging platform for multi-modality medical image simulation. Tristan Glatard , Carole Lartizien , Bernard Gibaud , Rafael Ferreira da Silva , Germain Forestier , et al. IEEE Transactions on Medical Imaging, 2013, 32 (1), pp.110-8. ⟨10.1109/TMI.2012.2220154⟩ Article dans une revue inserm-00762497v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging

GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models

Whole-brain radiomics for clustered federated personalization in brain tumor segmentation

Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening

Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body 18F-FDG Distributions for Oncology Applications

Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information

Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI

One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities

Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification

Estimation incrémentale pour la détection non supervisée d'anomalies multivariées en imagerie médicale

Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information

Towards frugal unsupervised detection of subtle abnormalities in medical imaging

Adaptation de domaine pour la détection automatique du cancer de la prostate en imagerie IRM multiparamétrique

Prostate Focal Peripheral Zone Lesions: Characterization at Multiparametric MR Imaging--Influence of a Computer-aided Diagnosis System

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans

Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone

OntoVIP: An ontology for the annotation of object models used for medical image simulation.

Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients

PET image enhancement using artificial intelligence for better characterization of epilepsy lesions

Detection of Lesions Underlying Intractable Epilepsy on T1-Weighted MRI as an Outlier Detection Problem

Evaluation of a 3D MR/MR elastic registration method for prostate cancer imaging

RU-Net: A refining segmentation network for 2D echocardiography

Converting SVDD scores into probability estimates: Application to outlier detection

Robust outlier detection with L0-SVDD

Converting SVDD Scores into Probability Estimates

On learning a large margin classifier for domain adaptation based on similarity functions

Deep Learning Applied to Multi-Structure Segmentation in 2D Echocardiography: A Preliminary Investigation of the Required Database Size

LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography

A virtual imaging platform for multi-modality medical image simulation.