Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey

29 March 2022

Papers citing "Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey"

6 / 6 papers shown

Title
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 132 1,198 0 02 Mar 2021
A hierarchical approach to deep learning and its application to tomographic reconstruction Lin Fu B. D. Man 19 20 0 16 Dec 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 46 82 0 26 Jul 2019
Radon Inversion via Deep Learning Ji He Jianhua Ma MedIm 27 112 0 09 Aug 2018
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang Pingkun Yan Yanbo Zhang Hengyong Yu Yongyi Shi X. Mou Mannudeep K. Kalra Ge Wang GAN MedIm 51 1,193 0 03 Aug 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 210 10,646 0 15 Sep 2016