Carole Lartizien

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 31

Top Topics

Prostate Cancer

Magnetic Resonance Imaging

Top Venues

Medical Image Anal.

Publications

Matthis Manthe, Stefan Duffner, Carole Lartizien
Federated brain tumor segmentation: An extensive benchmark. Medical Image Anal. 97 (2024)
Matthis Manthe, Stefan Duffner, Carole Lartizien
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation. CoRR (2023)
Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. ISBI (2023)
Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) (2023)
Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients. CoRR (2023)
Matthis Manthe, Stefan Duffner, Carole Lartizien
Whole brain radiomics for clustered federated personalization in brain tumor segmentation. MIDL (2023)
Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data. CoRR (2023)
Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR (2023)
Nicolas Pinon, Robin Trombetta, Carole Lartizien
Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis. CoRR (2023)
Nicolas Pinon, Robin Trombetta, Carole Lartizien
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities. CoRR (2023)
Nicolas Pinon, Robin Trombetta, Carole Lartizien
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities. MIDL (2023)
Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. Medical Image Anal. 77 (2022)
Audrey Duran, Gaspard Dussert, Carole Lartizien
Perfusion Imaging in Deep Prostate Cancer Detection from MP-MRI: Can We Take Advantage of it? ISBI (2022)
Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. CoRR (2022)
Audrey Duran, Gaspard Dussert, Carole Lartizien
Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it? CoRR (2022)
Audrey Duran, Gaspard Dussert, Carole Lartizien
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. Medical Imaging: Image Processing (2022)
Audrey Duran, Gaspard Dussert, Carole Lartizien
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. CoRR (2022)
Daria Zotova, Julien Jung, Carole Lartizien
GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models. SASHIMI@MICCAI (2021)
Sofien Dhouib, Ievgen Redko, Carole Lartizien
Margin-aware Adversarial Domain Adaptation with Optimal Transport. ICML (2020)
Pierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. MIDL (2020)
Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. MIDL (2020)
Zaruhi Alaverdyan, Julien Jung, Romain Bouet, Carole Lartizien
Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening. Medical Image Anal. 60 (2020)
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
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR (2020)
Sorina Camarasu-Pop, Carole Lartizien, Thomas Grenier, Axel Bonnet, Pascal Wassong, Vanessa Hamar, Fabio Hernandez, Luisa Arrabito, Johan Bregeon, Pierre Gay, Andrei Tsaregorodtsev
Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC. MIPRO (2019)
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
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38 (9) (2019)
Zara Alaverdyan, Carole Lartizien
Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging. CoRR (2018)
Léo Gautheron, Ievgen Redko, Carole Lartizien
Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport. ECML/PKDD (2) (2018)
Léo Gautheron, Ievgen Redko, Carole Lartizien
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport. CoRR (2018)
Zara Alaverdyan, Jiazheng Chai, Carole Lartizien
Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection. DLMIA/ML-CDS@MICCAI (2018)
Meriem El Azami, Carole Lartizien, Stéphane Canu
Converting SVDD scores into probability estimates: Application to outlier detection. Neurocomputing 268 (2017)
Meriem El Azami, Carole Lartizien, Stéphane Canu
Converting SVDD scores into probability estimates. ESANN (2016)
Rahaf Aljundi, Jérôme Lehaire, Fabrice Prost-Boucle, Olivier Rouvière, Carole Lartizien
Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases. MLMMI@ICML (2015)
Meriem El Azami, Romain Bouet, Julien Jung, Alexander Hammers, Carole Lartizien
Combining multi-parametric MR images for the detection of epileptogenic lesions. ISBI (2015)
Meriem El Azami, Carole Lartizien, Stéphane Canu
Robust outlier detection with L0-SVDD. ESANN (2014)
Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu
Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. IEEE Trans. Image Process. 23 (3) (2014)
Jérôme Lehaire, Rémi Flamary, Olivier Rouvière, Carole Lartizien
Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. ICIP (2014)
Carole Lartizien, Matthieu Rogez, Emilie Niaf, Fabien Ricard
Computer-Aided Staging of Lymphoma Patients With FDG PET/CT Imaging Based on Textural Information. IEEE J. Biomed. Health Informatics 18 (3) (2014)
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
OntoVIP: An ontology for the annotation of object models used for medical image simulation. J. Biomed. Informatics 52 (2014)
Emilie Niaf, Rémi Flamary, Alain Rakotomamonjy, Olivier Rouvière, Carole Lartizien
SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. ICIP (2014)
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
A Virtual Imaging Platform for Multi-Modality Medical Image Simulation. IEEE Trans. Medical Imaging 32 (1) (2013)
Meriem El Azami, Alexander Hammers, Nicolas Costes, Carole Lartizien
Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information. PRNI (2013)
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
Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRI. ISBI (2012)
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
OntoVIP: An Ontology for the Annotation of Object Models Used for Medical Image Simulation. HISB (2012)
Carole Lartizien, Matthieu Rogez, Adeline Susset, Francesco Giammarile, Emilie Niaf, Fabien Ricard
Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information. ISBI (2012)
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
Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP). CBMS (2011)
Emilie Niaf, Olivier Rouvière, Carole Lartizien
Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI. Medical Imaging: Computer-Aided Diagnosis (2011)
Obioma Udobata, Chantal Revol-Muller, Carole Lartizien
Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory. Medical Imaging: Computer-Aided Diagnosis (2011)
Germain Forestier, Adrien Marion, Hugues Benoit-Cattin, Patrick Clarysse, Denis Friboulet, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Joachim Tabary, Bernard Gibaud
Sharing object models for multi-modality medical image simulation: A semantic approach. CBMS (2011)
Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu
Handling uncertainties in SVM classification CoRR (2011)
Carole Lartizien, Jean-Baptiste Aubin, Irène Buvat
Comparison of Bootstrap Resampling Methods for 3-D PET Imaging. IEEE Trans. Medical Imaging 29 (7) (2010)
Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis
hboxF-FDG Distributions for Oncology Applications. Proc. IEEE 97 (12) (2009)
Phillip Cheng, Paul E. Kinahan, Jae-Seung Kim, Thomas K. Lewellen, Claude Comtat, Carole Lartizien
Effect of Scan Duration on Lesion Detectability in PET Oncology Imaging. ISBI (2004)