Lisa Di Jorio
Lisa Di Jorio
Imagia Cybernetics
Verified email at imagia.com
Title
Cited by
Cited by
Year
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
1542018
Mining frequent gradual itemsets from large databases
L Di-Jorio, A Laurent, M Teisseire
International Symposium on Intelligent Data Analysis, 297-308, 2009
812009
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
442008
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
252019
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
112019
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
102008
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
82019
Paper recommendation system: A global and soft approach
S Pruitikanee, L Di Jorio, A Laurent, M Sala
Future computing, 2012
82012
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
82007
Enrichissement d'ontologie basé sur les motifs séquentiels
L Di Jorio, L Abrouk, C Fiot, M Teisseire, D Hérin
72007
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
72006
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
62009
Extraction efficace de règles graduelles.
L Di-Jorio, A Laurent, M Teisseire
EGC, 199-204, 2009
52009
Iteratively unveiling new regions of interest in deep learning models
F Bordes, T Berthier, L Di Jorio, P Vincent, Y Bengio
32018
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
22019
Recherche de motifs graduels et application aux données médicales
L Di Jorio
These, Université Montpellier II-Sciences et Techniques du Languedoc, 2010
22010
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
12009
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
12009
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
12006
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
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Articles 1–20