1 code implementation • 5 Jun 2023 • Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, YunMei Chen
We propose a novel Learned Alternating Minimization Algorithm (LAMA) for dual-domain sparse-view CT image reconstruction.
no code implementations • 8 Mar 2023 • Rui Hu, Jianan Cui, Chengjin Yu, YunMei Chen, Huafeng Liu
Dynamic positron emission tomography (dPET) image reconstruction is extremely challenging due to the limited counts received in individual frame.
no code implementations • 8 Mar 2023 • Rui Hu, YunMei Chen, Kyungsang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu
Deep learning based PET image reconstruction methods have achieved promising results recently.
no code implementations • 8 Apr 2022 • Wanyu Bian, Qingchao Zhang, Xiaojing Ye, YunMei Chen
In this paper, we propose a novel deep-learning model for joint reconstruction and synthesis of multi-modal MRI using incomplete k-space data of several source modalities as inputs.
no code implementations • 2 Oct 2021 • Wanyu Bian, YunMei Chen, Xiaojing Ye, Qingchao Zhang
In this model, the learnable regularization function contains a task-invariant common feature encoder and task-specific learner represented by a shallow network.
1 code implementation • 20 Sep 2021 • Wanyu Bian, YunMei Chen, Xiaojing Ye
We cast the reconstruction network as a structured discrete-time optimal control system, resulting in an optimal control formulation of parameter training where the parameters of the objective function play the role of control variables.
no code implementations • 27 Apr 2021 • Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, YunMei Chen
We propose a provably convergent method, called Efficient Learned Descent Algorithm (ELDA), for low-dose CT (LDCT) reconstruction.
no code implementations • 22 Jul 2020 • Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang
We propose a general learning based framework for solving nonsmooth and nonconvex image reconstruction problems.
2 code implementations • 31 Jan 2011 • Yunmei Chen, Xiaojing Ye
This mini-paper presents a fast and simple algorithm to compute the projection onto the canonical simplex $\triangle^n$.
Optimization and Control 49M37 G.1.6