Aghiles Kebaili

According to our database, Aghiles Kebaili authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression.

Aghiles Kebaili, Romain Modzelewski, Jérôme Lapuyade-Lahorgue, Maxime Fontanilles, Sébastien Thureau, Su Ruan

CoRR, September, 2025

Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation.

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

Comput. Medical Imaging Graph., 2025

AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation.

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2023