ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.10010
  4. Cited By
Enhancing signal detectability in learning-based CT reconstruction with
  a model observer inspired loss function

Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function

15 February 2024
Megan Lantz
E. Sidky
Ingrid S. Reiser
Xiaochuan Pan
Gregory Ongie
ArXivPDFHTML

Papers citing "Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function"

1 / 1 papers shown
Title
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
276
75,800
0
18 May 2015
1