Zanella Maxime

Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Main Referenced Co-authors

MAHMOUDI, Saïd (3)

Cioppa, Anthony (2)

Halin, Anaı̈s (2)

Macq, Benoı̂t (2)

Piérard, Sébastien (2)

Main Referenced Keywords

Domain adaptation (2); 3D MRI (1); 3d MRI (1); 3D segmentation (1); Adaptation techniques (1);

Main Referenced Disciplines

Computer science (3)

Publications (total 3)

Search in publications

The most downloaded

2 downloads

Gérin, B., Zanella, M., Wynen, M., Mahmoudi, S., Macq, B., & De Vleeschouwer, C. (2024). Exploring viability of Test-Time Training: Application to 3D segmentation in Multiple Sclerosis. In Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/CAI59869.2024.00110 https://hdl.handle.net/20.500.12907/51464

Halin, A. S., Piérard, S. B., Vandeghen, R., Gérin, B. T., Zanella, M., Colot, M., Held, J., Cioppa, A., Jean, E., Bontempi, G., Mahmoudi, S., Macq, B. T., & Van Droogenbroeck, M. (2024). Physically Interpretable Probabilistic Domain Characterization. Lecture Notes in Computer Science, 15-33.

https://hdl.handle.net/20.500.12907/51506

Peer reviewed

https://hdl.handle.net/20.500.12907/51464

Peer reviewed

Piérard, S. B., Cioppa, A., Halin, A. S., Vandeghen, R., Zanella, M., Macq, B. T., Mahmoudi, S., & Van Droogenbroeck, M. (2023). Mixture Domain Adaptation To Improve Semantic Segmentation in Real-World Surveillance. IEEE Access, 22-31.

https://hdl.handle.net/20.500.12907/44871

Peer Reviewed verified by ORBi