| 2025 | MICCAI | Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data. | Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel |
| 2023 | MICCAI | Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. | Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes |
| 2021 | MICCAI | Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. | Vernica Muoz Ramrez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat |
| 2021 | MICCAI | 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 |
| 2020 | ICML | Margin-aware Adversarial Domain Adaptation with Optimal Transport. | Sofien Dhouib, Ievgen Redko, Carole Lartizien |
| 2018 | MICCAI | Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection. | Zara Alaverdyan, Jiazheng Chai, Carole Lartizien |
| 2016 | ESANN | Converting SVDD scores into probability estimates. | Meriem El Azami, Carole Lartizien, Stphane Canu |
| 2015 | ICML | Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases. | Rahaf Aljundi, Jrme Lehaire, Fabrice Prost-Boucle, Olivier Rouvire, Carole Lartizien |
| 2014 | ESANN | Robust outlier detection with L0-SVDD. | Meriem El Azami, Carole Lartizien, Stphane Canu |
| 2014 | ICIP | Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. | Jrme Lehaire, Rmi Flamary, Olivier Rouvire, Carole Lartizien |
| 2014 | ICIP | SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. | Emilie Niaf, Rmi Flamary, Alain Rakotomamonjy, Olivier Rouvire, Carole Lartizien |
| 2011 | CBMS | Sharing object models for multi-modality medical image simulation: A semantic approach. | Germain Forestier, Adrien Marion, Hugues Benoit-Cattin, Patrick Clarysse, Denis Friboulet, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Herv Liebgott, Joachim Tabary, Bernard Gibaud |
| 2011 | CBMS | Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP). | Adrien Marion, Germain Forestier, Hugues Benoit-Cattin, Sorina Camarasu-Pop, Patrick Clarysse, Rafael Ferreira da Silva, Bernard Gibaud, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Herv Liebgott, Svenja Specovius, Joachim Tabary, Sbastien Valette, Denis Friboulet |