Lisa Di Jorio
Lisa Di Jorio
AlleyCorp Nord
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Cited by
Cited by
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
Mining frequent gradual itemsets from large databases
L Di-Jorio, A Laurent, M Teisseire
International symposium on intelligent data analysis, 297-308, 2009
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
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
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
Infomask: Masked variational latent representation to localize chest disease
SA Taghanaki, M Havaei, T Berthier, F Dutil, L Di Jorio, G Hamarneh, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Precision-weighted federated learning
J Reyes, L Di Jorio, C Low-Kam, M Kersten-Oertel
arXiv preprint arXiv:2107.09627, 2021
Sequential patterns for maintaining ontologies over time
L Di-Jorio, S Bringay, C Fiot, A Laurent, M Teisseire
On the Move to Meaningful Internet Systems: OTM 2008: OTM 2008 Confederated …, 2008
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
Paper recommendation system: A global and soft approach
S Pruitikanee, L Di Jorio, A Laurent, M Sala
Future computing, 21-27, 2012
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
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
VPSP: extraction de motifs séquentiels dans weka
L Di-Jorio, D Jouve, D Kraemer, A Serra, C Raissi, A Laurent, M Teisseire, ...
Démonstrations dans les 22èmes journées “Bases de Données Avancées”(BDA’06), 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
Recherche de motifs graduels et application aux données médicales
L Di Jorio
Université Montpellier II-Sciences et Techniques du Languedoc, 2010
Cmim: Cross-modal information maximization for medical imaging
T Sylvain, F Dutil, T Berthier, L Di Jorio, M Luck, D Hjelm, Y Bengio
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Extraction efficace de règles graduelles.
L Di-Jorio, A Laurent, M Teisseire
EGC 9, 199-204, 2009
Enrichissement d'ontologie basé sur les motifs séquentiels
L Di Jorio, L Abrouk, C Fiot, M Teisseire, D Hérin
Automated detection of anatomical landmarks during colonoscopy using a deep learning model
M Taghiakbari, S Hamidi Ghalehjegh, E Jehanno, T Berthier, L di Jorio, ...
Journal of the Canadian Association of Gastroenterology 6 (4), 145-151, 2023
Iteratively unveiling new regions of interest in deep learning models
F Bordes, T Berthier, L Di Jorio, P Vincent, Y Bengio
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