Carole Lartizien

70 papers A* 1B 7Journal 32Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design. CoRR Jacopo Iollo, Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
2025	—	`conf`	Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting. ISBI Geoffroy Oudoumanessah, Thomas Coudert, Luc Meyer, Aurélien Delphin, Thomas Christen, Michel Dojat, Carole Lartizien, Florence Forbes
2025	—	`conf`	Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer. ISBI Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel
2025	J	`jnl`	GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models. Comput. Methods Programs Biomed. Daria Zotova, Nicolas Pinon, Robin Trombetta, Romain Bouet, Julien Jung, Carole Lartizien
2025	J	`jnl`	GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models. CoRR Daria Zotova, Nicolas Pinon, Robin Trombetta, Romain Bouet, Julien Jung, Carole Lartizien
2025	J	`jnl`	Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization. CoRR Robin Trombetta, Carole Lartizien
2025	—	`conf`	Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data. MICCAI (15) Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel
2025	J	`jnl`	OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection. CoRR Nicolas Pinon, Carole Lartizien
2024	—	`conf`	Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation. ECML/PKDD (4) Matthis Manthe, Carole Lartizien, Stefan Duffner
2024	J	`jnl`	Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation. CoRR Matthis Manthe, Carole Lartizien, Stefan Duffner
2024	J	`jnl`	Federated brain tumor segmentation: An extensive benchmark. Medical Image Anal. Matthis Manthe, Stefan Duffner, Carole Lartizien
2024	J	`jnl`	Federated brain tumor segmentation: an extensive benchmark. CoRR Matthis Manthe, Stefan Duffner, Carole Lartizien
2024	—	`ed.`	Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	—	`conf`	Preface for International Conference on Medical Imaging with Deep Learning 2024. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	—	`conf`	Time CNN and Graph Convolution Network for Epileptic Spike Detection in Meg Data. ISBI Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
2024	—	`conf`	Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains. MIDL Robin Trombetta, Olivier Rouvière, Carole Lartizien
2024	J	`jnl`	Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains. CoRR Robin Trombetta, Olivier Rouvière, Carole Lartizien
2023	J	`jnl`	Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis. CoRR Nicolas Pinon, Robin Trombetta, Carole Lartizien
2023	—	`conf`	Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. ISBI Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
2023	J	`jnl`	Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients. CoRR Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
2023	—	`conf`	One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities. MIDL Nicolas Pinon, Robin Trombetta, Carole Lartizien
2023	J	`jnl`	One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities. CoRR Nicolas Pinon, Robin Trombetta, Carole Lartizien
2023	J	`jnl`	Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data. CoRR Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
2023	—	`conf`	Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
2023	J	`jnl`	Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
2023	—	`conf`	Whole brain radiomics for clustered federated personalization in brain tumor segmentation. MIDL Matthis Manthe, Stefan Duffner, Carole Lartizien
2023	J	`jnl`	Whole-brain radiomics for clustered federated personalization in brain tumor segmentation. CoRR Matthis Manthe, Stefan Duffner, Carole Lartizien
2022	B	`conf`	Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. Image Processing Audrey Duran, Gaspard Dussert, Carole Lartizien
2022	J	`jnl`	Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. CoRR Audrey Duran, Gaspard Dussert, Carole Lartizien
2022	—	`conf`	Perfusion Imaging in Deep Prostate Cancer Detection from MP-MRI: Can We Take Advantage of it? ISBI Audrey Duran, Gaspard Dussert, Carole Lartizien
2022	J	`jnl`	Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it? CoRR Audrey Duran, Gaspard Dussert, Carole Lartizien
2022	J	`jnl`	ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. CoRR Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien
2022	J	`jnl`	ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. Medical Image Anal. Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien
2021	—	`conf`	GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models. SASHIMI@MICCAI Daria Zotova, Julien Jung, Carole Lartizien
2021	—	`conf`	Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat
2020	J	`jnl`	LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Løvstakken, Olivier Bernard
2020	A*	`conf`	Margin-aware Adversarial Domain Adaptation with Optimal Transport. ICML Sofien Dhouib, Ievgen Redko, Carole Lartizien
2020	—	`conf`	Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. MIDL Pierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre
2020	—	`conf`	Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. MIDL Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien
2020	J	`jnl`	Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening. Medical Image Anal. Zaruhi Alaverdyan, Julien Jung, Romain Bouet, Carole Lartizien
2019	J	`jnl`	Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging Sarah Leclerc, Erik Smistad, João Pedrosa, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Jan D'hooge, Lasse Løvstakken, Olivier Bernard
2019	—	`conf`	Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC. MIPRO Sorina Camarasu-Pop, Carole Lartizien, Thomas Grenier, Axel Bonnet, Pascal Wassong, Vanessa Hamar, Fabio Hernandez, Luisa Arrabito, Johan Bregeon, Pierre Gay, Andrei Tsaregorodtsev
2018	—	`conf`	Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport. ECML/PKDD (2) Léo Gautheron, Ievgen Redko, Carole Lartizien
2018	J	`jnl`	Feature Selection for Unsupervised Domain Adaptation using Optimal Transport. CoRR Léo Gautheron, Ievgen Redko, Carole Lartizien
2018	J	`jnl`	Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging. CoRR Zara Alaverdyan, Carole Lartizien
2018	—	`conf`	Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection. DLMIA/ML-CDS@MICCAI Zara Alaverdyan, Jiazheng Chai, Carole Lartizien
2017	J	`jnl`	Converting SVDD scores into probability estimates: Application to outlier detection. Neurocomputing Meriem El Azami, Carole Lartizien, Stéphane Canu
2016	B	`conf`	Converting SVDD scores into probability estimates. ESANN Meriem El Azami, Carole Lartizien, Stéphane Canu
2015	—	`book`	Analyse psychophysique et apprentissage statistique pour l'aide au diagnostic en imagerie du cancer. Carole Lartizien
2015	—	`conf`	Combining multi-parametric MR images for the detection of epileptogenic lesions. ISBI Meriem El Azami, Romain Bouet, Julien Jung, Alexander Hammers, Carole Lartizien
2015	—	`conf`	Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases. MLMMI@ICML Rahaf Aljundi, Jérôme Lehaire, Fabrice Prost-Boucle, Olivier Rouvière, Carole Lartizien
2014	J	`jnl`	Computer-Aided Staging of Lymphoma Patients With FDG PET/CT Imaging Based on Textural Information. IEEE J. Biomed. Health Informatics Carole Lartizien, Matthieu Rogez, Emilie Niaf, Fabien Ricard
2014	B	`conf`	Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. ICIP Jérôme Lehaire, Rémi Flamary, Olivier Rouvière, Carole Lartizien
2014	J	`jnl`	Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. IEEE Trans. Image Process. Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu
2014	J	`jnl`	OntoVIP: An ontology for the annotation of object models used for medical image simulation. J. Biomed. Informatics Bernard Gibaud, Germain Forestier, Hugues Benoit-Cattin, Frederic Cervenansky, Patrick Clarysse, Denis Friboulet, Alban Gaignard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Johan Montagnat, Joachim Tabary, Tristan Glatard
2014	B	`conf`	Robust outlier detection with L0-SVDD. ESANN Meriem El Azami, Carole Lartizien, Stéphane Canu
2014	B	`conf`	SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. ICIP Emilie Niaf, Rémi Flamary, Alain Rakotomamonjy, Olivier Rouvière, Carole Lartizien
2013	J	`jnl`	A Virtual Imaging Platform for Multi-Modality Medical Image Simulation. IEEE Trans. Medical Imaging Tristan Glatard, Carole Lartizien, Bernard Gibaud, Rafael Ferreira da Silva, Germain Forestier, Frederic Cervenansky, Martino Alessandrini, Hugues Benoit-Cattin, Olivier Bernard, Sorina Camarasu-Pop, Nadia Cerezo, Patrick Clarysse, Alban Gaignard, Patrick Hugonnard, Hervé Liebgott, Simon Marache, Adrien Marion, Johan Montagnat, Joachim Tabary, Denis Friboulet
2013	—	`conf`	Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information. PRNI Meriem El Azami, Alexander Hammers, Nicolas Costes, Carole Lartizien
2012	—	`conf`	Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information. ISBI Carole Lartizien, Matthieu Rogez, Adeline Susset, Francesco Giammarile, Emilie Niaf, Fabien Ricard
2012	—	`conf`	Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRI. ISBI Tristan Glatard, Adrien Marion, Hugues Benoit-Cattin, Sorina Camarasu-Pop, Patrick Clarysse, Rafael Ferreira da Silva, Germain Forestier, Bernard Gibaud, Carole Lartizien, Hervé Liebgott, Kévin Moulin, Denis Friboulet
2012	—	`conf`	OntoVIP: An Ontology for the Annotation of Object Models Used for Medical Image Simulation. HISB Bernard Gibaud, Germain Forestier, Hugues Benoit-Cattin, Frederic Cervenansky, Patrick Clarysse, Denis Friboulet, Alban Gaignard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Johan Montagnat, Joachim Tabary, Tristan Glatard
2011	—	`conf`	Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI. Computer-Aided Diagnosis Emilie Niaf, Olivier Rouvière, Carole Lartizien
2011	—	`conf`	Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory. Computer-Aided Diagnosis Obioma Udobata, Chantal Revol-Muller, Carole Lartizien
2011	J	`jnl`	Handling uncertainties in SVM classification CoRR Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu
2011	B	`conf`	Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP). CBMS Adrien Marion, Germain Forestier, Hugues Benoit-Cattin, Sorina Camarasu-Pop, Patrick Clarysse, Rafael Ferreira da Silva, Bernard Gibaud, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Svenja Specovius, Joachim Tabary, Sébastien Valette, Denis Friboulet
2011	B	`conf`	Sharing object models for multi-modality medical image simulation: A semantic approach. CBMS Germain Forestier, Adrien Marion, Hugues Benoit-Cattin, Patrick Clarysse, Denis Friboulet, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Joachim Tabary, Bernard Gibaud
2010	J	`jnl`	Comparison of Bootstrap Resampling Methods for 3-D PET Imaging. IEEE Trans. Medical Imaging Carole Lartizien, Jean-Baptiste Aubin, Irène Buvat
2009	J	`jnl`	Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body Proc. IEEE Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis
2004	—	`conf`	Effect of Scan Duration on Lesion Detectability in PET Oncology Imaging. ISBI Phillip Cheng, Paul E. Kinahan, Jae-Seung Kim, Thomas K. Lewellen, Claude Comtat, Carole Lartizien