Aghiles Kebaili

13 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation. ISBI Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025	J	`jnl`	AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025	J	`jnl`	Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression. CoRR Aghiles Kebaili, Romain Modzelewski, Jérôme Lapuyade-Lahorgue, Maxime Fontanilles, Sébastien Thureau, Su Ruan
2025	J	`jnl`	Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation. Comput. Medical Imaging Graph. Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025	—	`—`	Μοdèles génératifs pour la prédiction de la progression du cancer à partir de données multimodales. (Deep Generative Models for the Prediction of Brain Tumor Progression from Multimodal Data). Aghiles Kebaili
2024	—	`conf`	3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes. ISBI Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes. Neurocomputing Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2023	J	`jnl`	Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
2023	J	`jnl`	Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. J. Imaging Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
2023	—	`conf`	End-to-End Autoencoding Architecture for the Simultaneous Generation of Medical Images and Corresponding Segmentation Masks. MICAD Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2023	J	`jnl`	End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan