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Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT
  Reconstruction

Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction

Journal of Scientific Computing (J. Sci. Comput.), 2021
27 April 2021
Qingchao Zhang
Mehrdad Alvandipour
Wenjun Xia
Yi Zhang
X. Ye
Yunmei Chen
ArXiv (abs)PDFHTML

Papers citing "Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction"

5 / 5 papers shown
SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets
SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets
Chengbo Zang
Yunlong Li
Xuan Di
346
2
0
03 Jan 2025
A Learned Proximal Alternating Minimization Algorithm and Its Induced
  Network for a Class of Two-block Nonconvex and Nonsmooth Optimization
A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-block Nonconvex and Nonsmooth OptimizationJournal of Scientific Computing (J. Sci. Comput.), 2024
Yuxiao Chen
Lezhi Liu
Lei Zhang
217
1
0
10 Nov 2024
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy ImagesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Chen Liu
Danqi Liao
Alejandro Parada-Mayorga
Alejandro Ribeiro
Marcello DiStasio
Smita Krishnaswamy
463
11
0
04 Oct 2024
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View
  CT Reconstruction
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT ReconstructionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Chi-Jiao Ding
Qingchao Zhang
Ge Wang
X. Ye
Yunmei Chen
266
10
0
05 Jun 2023
Long Range Constraints for Neural Texture Synthesis Using Sliced
  Wasserstein Loss
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss
Li Yin
Albert Chua
3DV
176
1
0
21 Nov 2022
1
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