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. 1901.00106
  4. Cited By
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed
  Material Models and Efficient Clustering
v1v2 (latest)

DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering

1 January 2019
Zhipeng Li
S. Ravishankar
Y. Long
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering"

3 / 3 papers shown
Title
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for
  Spectral Tomography
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
Mathé T. Zeegers
A. Kadu
Tristan van Leeuwen
K. Batenburg
16
3
0
21 Dec 2021
An Improved Iterative Neural Network for High-Quality Image-Domain
  Material Decomposition in Dual-Energy CT
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT
Zhipeng Li
Y. Long
Il Yong Chun
25
12
0
02 Dec 2020
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
121
244
0
04 Apr 2019
1