Aghiles Kebaili

According to our database, Aghiles Kebaili authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes.

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan

Neurocomputing, 2024

3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes.

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review.

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan

J. Imaging, 2023

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks.

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan

CoRR, 2023