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Pierre Vera

Identifiers

  • name variant Pierre Vera 0.60 · backfill

Papers (19)

  1. Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical Image cs.CV · 2025 · author #5
  2. Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution eess.IV · 2025 · author #7
  3. AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation cs.CV · 2025 · author #3
  4. Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution cs.CV · 2024 · author #4
  5. Deform-Mamba Network for MRI Super-Resolution cs.CV · 2024 · author #4
  6. Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes eess.IV · 2024 · author #3
  7. 3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes eess.IV · 2024 · author #3
  8. End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks eess.IV · 2023 · author #3
  9. Evidence fusion with contextual discounting for multi-modality medical image segmentation cs.CV · 2022 · author #3
  10. A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction eess.IV · 2022 · author #3
  11. Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images eess.IV · 2022 · author #3
  12. Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities eess.IV · 2021 · author #3
  13. A Tri-attention Fusion Guided Multi-modal Segmentation Network cs.CV · 2021 · author #3
  14. Conditional generator and multi-sourcecorrelation guided brain tumor segmentation with missing MR modalities eess.IV · 2021 · author #3
  15. Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities eess.IV · 2021 · author #3
  16. 3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint eess.IV · 2021 · author #3
  17. Brain tumor segmentation with missing modalities via latent multi-source correlation representation eess.IV · 2020 · author #3
  18. RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images eess.IV · 2020 · author #3
  19. Weakly Supervised PET Tumor Detection Using Class Response eess.IV · 2020 · author #3

Mentions

  • 2504.21281 #5 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2504.16958 #7 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2501.12840 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2406.11659 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2407.05993 #4 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2407.05969 #4 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2406.05421 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2311.10472 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2206.11739 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2203.11943 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2203.00641 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2111.04735 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2111.01623 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2105.13013 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2104.06231 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2003.08870 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2003.08663 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2102.03111 #3 · arxiv_oai · confidence 0.70 Pierre Vera
  • 2003.08337 #3 · arxiv_oai · confidence 0.70 Pierre Vera

Frequent Coauthors