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2020 – today
- 2024
[j11]Matthis Manthe, Stefan Duffner, Carole Lartizien
:
Federated brain tumor segmentation: An extensive benchmark. Medical Image Anal. 97: 103270 (2024)- [c33]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. ISBI 2024: 1-5 - [c32]Robin Trombetta, Olivier Rouvière, Carole Lartizien:
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains. MIDL 2024: 1531-1552 - [c31]Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus:
Preface for International Conference on Medical Imaging with Deep Learning 2024. MIDL 2024: i-xviii - [c30]Matthis Manthe, Carole Lartizien, Stefan Duffner:
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation. ECML/PKDD (4) 2024: 369-385 - [e1]Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus:
Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. Proceedings of Machine Learning Research 250, PMLR 2024 [contents] - [i16]Matthis Manthe, Carole Lartizien, Stefan Duffner:
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation. CoRR abs/2410.14693 (2024) - [i15]Matthis Manthe, Stefan Duffner, Carole Lartizien:
Federated brain tumor segmentation: an extensive benchmark. CoRR abs/2410.17265 (2024) - [i14]Robin Trombetta, Olivier Rouvière, Carole Lartizien:
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains. CoRR abs/2411.02466 (2024) - 2023
- [c29]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: 1-5 - [c28]Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) 2023: 411-421 - [c27]Matthis Manthe, Stefan Duffner, Carole Lartizien:
Whole brain radiomics for clustered federated personalization in brain tumor segmentation. MIDL 2023: 957-977 - [c26]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: 1783-1797 - [i13]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 abs/2302.13593 (2023) - [i12]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 abs/2304.08058 (2023) - [i11]Nicolas Pinon, Robin Trombetta, Carole Lartizien:
Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis. CoRR abs/2307.02495 (2023) - [i10]Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR abs/2309.02458 (2023) - [i9]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 abs/2310.09236 (2023) - [i8]Matthis Manthe, Stefan Duffner, Carole Lartizien:
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation. CoRR abs/2310.11480 (2023) - 2022
- [j10]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: 102347 (2022) - [c25]Audrey Duran, Gaspard Dussert, Carole Lartizien:
Perfusion Imaging in Deep Prostate Cancer Detection from MP-MRI: Can We Take Advantage of it? ISBI 2022: 1-5 - [c24]Audrey Duran, Gaspard Dussert, Carole Lartizien:
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. Image Processing 2022 - [i7]Audrey Duran, Gaspard Dussert, Carole Lartizien:
Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it? CoRR abs/2207.02854 (2022) - [i6]Audrey Duran, Gaspard Dussert, Carole Lartizien:
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. CoRR abs/2207.05056 (2022) - [i5]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 abs/2211.13238 (2022) - 2021
- [c23]Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat:
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI 2021: 34-43 - [c22]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: 142-152 - 2020
- [j9]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) - [c21]Sofien Dhouib, Ievgen Redko, Carole Lartizien:
Margin-aware Adversarial Domain Adaptation with Optimal Transport. ICML 2020: 2514-2524 - [c20]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: 193-204 - [c19]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: 205-216 - [i4]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 abs/2004.02043 (2020)
2010 – 2019
- 2019
- [j8]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): 2198-2210 (2019) - [c18]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: 190-195 - 2018
- [c17]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: 210-217 - [c16]Léo Gautheron, Ievgen Redko, Carole Lartizien:
Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport. ECML/PKDD (2) 2018: 759-776 - [i3]Zara Alaverdyan, Carole Lartizien:
Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging. CoRR abs/1805.01717 (2018) - [i2]Léo Gautheron, Ievgen Redko, Carole Lartizien:
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport. CoRR abs/1806.10861 (2018) - 2017
- [j7]Meriem El Azami, Carole Lartizien, Stéphane Canu:
Converting SVDD scores into probability estimates: Application to outlier detection. Neurocomputing 268: 64-75 (2017) - 2016
- [c15]Meriem El Azami, Carole Lartizien, Stéphane Canu:
Converting SVDD scores into probability estimates. ESANN 2016 - 2015
- [b1]Carole Lartizien:
Analyse psychophysique et apprentissage statistique pour l'aide au diagnostic en imagerie du cancer. INSA de Lyon, France, 2015 - [c14]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: 74-82 - [c13]Meriem El Azami, Romain Bouet, Julien Jung, Alexander Hammers, Carole Lartizien:
Combining multi-parametric MR images for the detection of epileptogenic lesions. ISBI 2015: 122-125 - 2014
- [j6]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: 279-292 (2014) - [j5]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): 979-991 (2014) - [j4]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): 946-955 (2014) - [c12]Meriem El Azami, Carole Lartizien, Stéphane Canu:
Robust outlier detection with L0-SVDD. ESANN 2014 - [c11]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: 2246-2250 - [c10]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: 2251-2255 - 2013
- [j3]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): 110-118 (2013) - [c9]Meriem El Azami, Alexander Hammers, Nicolas Costes, Carole Lartizien:
Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information. PRNI 2013: 90-93 - 2012
- [c8]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: 110 - [c7]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: 98-101 - [c6]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: 118-121 - 2011
- [c5]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: 1-6 - [c4]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: 1-6 - [c3]Emilie Niaf, Olivier Rouvière, Carole Lartizien:
Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI. Computer-Aided Diagnosis 2011: 79633P - [c2]Obioma Udobata, Chantal Revol-Muller, Carole Lartizien:
Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory. Computer-Aided Diagnosis 2011: 79633M - [i1]Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu:
Handling uncertainties in SVM classification. CoRR abs/1106.3397 (2011) - 2010
- [j2]Carole Lartizien, Jean-Baptiste Aubin, Irène Buvat:
Comparison of Bootstrap Resampling Methods for 3-D PET Imaging. IEEE Trans. Medical Imaging 29(7): 1442-1454 (2010)
2000 – 2009
- 2009
- [j1]Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis:
Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body 18hboxF-FDG Distributions for Oncology Applications. Proc. IEEE 97(12): 2026-2038 (2009) - 2004
- [c1]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: 1432-1435
Coauthor Index
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