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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
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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

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

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
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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
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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
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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
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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

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

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
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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
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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

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
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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
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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
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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
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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
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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
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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
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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
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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

Recent advances on artificial intelligence for medical image analysis

 Carole Lartizien
3eme Congrès National d'Imagerie du Vivant (CNIV), Feb 2019, Paris, France
Communication dans un congrès hal-02344015v1
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Margin-aware Adversarial Domain Adaptation with Optimal Transport

 Sofien Dhouib , Ievgen Redko , Carole Lartizien
Thirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria
Communication dans un congrès hal-02900715v1
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Impact of respiratory motion correction on the detection of small lesions in whole-body PET imaging: A simulation study

 Simon Marache-Francisco , Frédéric Lamare , Hadi Fayad , Dimitris Visvikis , Rémy Prost , et al.
2010 IEEE Nuclear Science Symposium (NSS) and Medical Imaging Conference (MIC)., Oct 2010, Knoxville, Tenessee, United States. pp.3531 - 3533, ⟨10.1109/NSSMIC.2010.5874465⟩
Communication dans un congrès hal-00649827v1

First Results with the ClearPET Small Animal PET Scanners

 E. Auffray , M. Boutemeur , G. Brandenburg , P. Bruyndonckx , Y. Choi , et al.
International Conf. on Inorganic Scintillators and their Applications (SCINT'05), Sep 2005, Alushta, Ukraine. pp.149-164, ⟨10.1007/1-4020-5093-3⟩
Communication dans un congrès in2p3-00475186v1
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Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it?

 Audrey Duran , Gaspard Dussert , Carole Lartizien
19th IEEE International Symposium on Biomedical Imaging (ISBI), Mar 2022, Kolkata, India. pp.1-5, ⟨10.1109/ISBI52829.2022.9761616⟩
Communication dans un congrès hal-03704313v1
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Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography priority u-Net for detection of pwml in preterm 3d Cranial Ultrasonography

 Pierre Erbacher , Carole Lartizien , Matthieu Martin , Pedro Foletto Pimenta , Philippe Quetin , et al.
Medical Imaging with Deep Learning (MIDL), Jul 2020, Montreal, Canada. pp.205-216
Communication dans un congrès hal-02995667v1
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Handling uncertainties in SVM classification

 Emilie Niaf , Rémi Flamary , Carole Lartizien , Stéphane Canu
IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France
Communication dans un congrès hal-00582789v2
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Détection d'anomalies dans l'espace image ou l'espace latent d'auto-encodeurs par patch pour l'analyse d'images industrielles

 Nicolas Pinon , Robin Trombetta , Carole Lartizien
GRETSI 2023 : XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Communication dans un congrès hal-04147526v1

Incorporating patient-specific variability in the oncoPET_DB database

 Simon Marache-Francisco , Rémy Prost , Jean-Michel Rouet , Carole Lartizien
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011, Oct 2011, Valence, Spain. pp.4184--4187, ⟨10.1109/NSSMIC.2011.6153801⟩
Communication dans un congrès hal-00722960v1
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