| Learning normalized inputs for iterative estimation in medical image segmentation M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ... Medical image analysis 44, 1-13, 2018 | 154 | 2018 |
| Mining frequent gradual itemsets from large databases L Di-Jorio, A Laurent, M Teisseire International Symposium on Intelligent Data Analysis, 297-308, 2009 | 81 | 2009 |
| Fast extraction of gradual association rules: A heuristic based method L Di Jorio, A Laurent, M Teisseire Proceedings of the 5th international conference on Soft computing as …, 2008 | 44 | 2008 |
| Deep learning for automated segmentation of liver lesions at CT in patients with colorectal cancer liver metastases E Vorontsov, M Cerny, P Régnier, L Di Jorio, CJ Pal, R Lapointe, ... Radiology: Artificial Intelligence 1 (2), 180014, 2019 | 25 | 2019 |
| Dual adversarial inference for text-to-image synthesis Q Lao, M Havaei, A Pesaranghader, F Dutil, LD Jorio, T Fevens Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11 | 2019 |
| Sequential patterns for maintaining ontologies over time L Di-Jorio, S Bringay, C Fiot, A Laurent, M Teisseire OTM Confederated International Conferences" On the Move to Meaningful …, 2008 | 10 | 2008 |
| InfoMask: Masked variational latent representation to localize chest disease SA Taghanaki, M Havaei, T Berthier, F Dutil, L Di Jorio, G Hamarneh, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 8 | 2019 |
| Paper recommendation system: A global and soft approach S Pruitikanee, L Di Jorio, A Laurent, M Sala Future computing, 2012 | 8 | 2012 |
| Enrichissement d'ontologie: Quand les motifs séquentiels labellisent des relations L Di Jorio, C Fiot, L Abrouk, D Hérin, M Teisseire BDA: Bases de Données Avancées, 2007 | 8 | 2007 |
| Enrichissement d'ontologie basé sur les motifs séquentiels L Di Jorio, L Abrouk, C Fiot, M Teisseire, D Hérin | 7 | 2007 |
| VPSP: extraction de motifs séquentiels dans weka L Di-Jorio, D Jouve, D Kraemer, A Serra, C Raissi, A Laurent, ... Démonstrations dans les 22èmes journées “Bases de Données Avancées”(BDA’06), 2006 | 7 | 2006 |
| Cbgp: Classification based on gradual patterns YW Choong, L Di Jorio, A Laurent, D Laurent, M Teisseire 2009 International Conference of Soft Computing and Pattern Recognition, 7-12, 2009 | 6 | 2009 |
| Extraction efficace de règles graduelles. L Di-Jorio, A Laurent, M Teisseire EGC, 199-204, 2009 | 5 | 2009 |
| Iteratively unveiling new regions of interest in deep learning models F Bordes, T Berthier, L Di Jorio, P Vincent, Y Bengio | 3 | 2018 |
| Efficient neural task adaptation by maximum entropy initialization F Varno, BH Soleimani, M Saghayi, L Di Jorio, S Matwin arXiv preprint arXiv:1905.10698, 2019 | 2 | 2019 |
| Recherche de motifs graduels et application aux données médicales L Di Jorio These, Université Montpellier II-Sciences et Techniques du Languedoc, 2010 | 2 | 2010 |
| Mining for gradualness over time using sequential patterns L Di Jorio, A Laurent, M Teisseire KES-IDT'09: First KES International Symposium on Intelligent Decision …, 2009 | 1 | 2009 |
| Gradual Rules: A Heuristic Based Method and Application to Outlier Extraction L Di Jorio, A Laurent, M Teisseire International Journal of Computer Information Systems and Industrial …, 2009 | 1 | 2009 |
| Vpsp: extraction de motifs séquentiels dans Weka D Kraemer, L Di Jorio, D Jouve, A Serra, C Raıssi, A Laurent, M Teisseire, ... Demonstration dans les 22emes journees de Bases de Donnees avancees, 2006 | 1 | 2006 |
| Cross-Modal Information Maximization for Medical Imaging: CMIM T Sylvain, F Dutil, T Berthier, L Di Jorio, M Luck, D Hjelm, Y Bengio arXiv preprint arXiv:2010.10593, 2020 | | 2020 |
