End2end-ALARA: Approaching the ALARA Law in CT Imaging with End-to-end Learning

Documenti analoghi

• Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
  di: Zhang, Xi, et al.
  Pubblicazione: (2024)
• MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
  di: Fang, Xi, et al.
  Pubblicazione: (2024)
• Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
  di: Zhou, Jiaming, et al.
  Pubblicazione: (2023)
• End4: End-to-end Denoising Diffusion for Diffusion-Based Inpainting Detection
  di: Wang, Fei, et al.
  Pubblicazione: (2025)
• HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations
  di: Xu, Yiran, et al.
  Pubblicazione: (2025)