Search Results - "Kebaili, Aghiles"

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review by Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Ruan, Su

“…Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in…”
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Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review by Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Ruan, Su

“…Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in…”
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Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes by Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su

“…Deep learning has gained significant attention in medical image segmentation. However, the limited availability of annotated training data presents a challenge…”
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End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks by Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su

“…Despite the increasing use of deep learning in medical image segmentation, acquiring sufficient training data remains a challenge in the medical field. In…”
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Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes by Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su

“…Deep learning has gained significant attention in medical image segmentation. However, the limited availability of annotated training data presents a challenge…”
Get full text

3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes by Kebaili, Aghiles, Lapuyade-Lahorgue, Jerome, Vera, Pierre, Ruan, Su

“…Despite the increasing use of deep learning in medical image segmentation, the limited availability of annotated training data remains a major challenge due to…”
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3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes by Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su

“…Despite the increasing use of deep learning in medical image segmentation, the limited availability of annotated training data remains a major challenge due to…”
Get full text