Jianan Cui

According to our database, Jianan Cui authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Deep unrolled primal dual network for TOF-PET list-mode image reconstruction.

Rui Hu, Chenxu Li, Kun Tian, Jianan Cui, Yunmei Chen, Huafeng Liu

CoRR, 2024

Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography.

Lei Xie, Qingrun Zeng, Huajun Zhou, Guoqiang Xie, Mingchu Li, Jiahao Huang, Jianan Cui, Hao Chen, Yuanjing Feng

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Non-exponential stability to a Timoshenko system with heat conduction and Kelvin-Voigt damping.

Jianan Cui, Shugen Chai

Appl. Math. Lett., June, 2023

A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity.

Qiaoyong Jiang, Jianan Cui, Lei Wang, Yanyan Lin, Yali Wu, Xinhong Hei

Memetic Comput., March, 2023

LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method.

Chenxu Li, Rui Hu, Jianan Cui, Huafeng Liu

CoRR, 2023

STPDnet: Spatial-Temporal Convolutional Primal Dual Network for Dynamic Pet Image Reconstruction.

Rui Hu, Jianan Cui, Chengjin Yu, Yunmei Chen, Huafeng Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method.

Chenxu Li, Jingwan Fang, Rui Hu, Jianan Cui, Huafeng Liu

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Unsupervised PET logan parametric image estimation using conditional deep image prior.

Jianan Cui, Kuang Gong, Ning Guo, Kyung Sang Kim, Huafeng Liu, Quanzheng Li

Medical Image Anal., 2022

Improved adaptive coding learning for artificial bee colony algorithms.

Qiaoyong Jiang, Jianan Cui, Yueqi Ma, Lei Wang, Yanyan Lin, Xiaoyu Li, Tongtong Feng, Yali Wu

Appl. Intell., 2022

A Noise-Level-Aware Framework for PET Image Denoising.

Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss.

Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network.

Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network.

Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Novel Radiomic Features Based on Graph Theory for PET Image Analysis.

Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network.

Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li

CoRR, 2018