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Aghiles Kebaili
ORCID
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 6
Top Topics
Imaging Modalities
Deep Learning
Image Processing And Analysis
Volumetric Data
Top Venues
CoRR
J. Imaging
Neurocomputing
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Publications
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Aghiles Kebaili
,
Jérôme Lapuyade-Lahorgue
,
Pierre Vera
,
Su Ruan
Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes.
Neurocomputing
606 (2024)
Aghiles Kebaili
,
Jérôme Lapuyade-Lahorgue
,
Pierre Vera
,
Su Ruan
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes.
CoRR
(2024)
Aghiles Kebaili
,
Jérôme Lapuyade-Lahorgue
,
Pierre Vera
,
Su Ruan
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes.
CoRR
(2024)
Aghiles Kebaili
,
Jérôme Lapuyade-Lahorgue
,
Pierre Vera
,
Su Ruan
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks.
CoRR
(2023)
Aghiles Kebaili
,
Jérôme Lapuyade-Lahorgue
,
Su Ruan
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review.
J. Imaging
9 (4) (2023)
Aghiles Kebaili
,
Jérôme Lapuyade-Lahorgue
,
Su Ruan
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review.
CoRR
(2023)