Jianan Cui

According to our database1, Jianan Cui authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography.
CoRR, 2024

2023
Non-exponential stability to a Timoshenko system with heat conduction and Kelvin-Voigt damping.
Appl. Math. Lett., June, 2023

A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity.
Memetic Comput., March, 2023

LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method.
CoRR, 2023

STPDnet: Spatial-Temporal Convolutional Primal Dual Network for Dynamic Pet Image Reconstruction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Unsupervised PET logan parametric image estimation using conditional deep image prior.
Medical Image Anal., 2022

Improved adaptive coding learning for artificial bee colony algorithms.
Appl. Intell., 2022

A Noise-Level-Aware Framework for PET Image Denoising.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss.
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.
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.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Novel Radiomic Features Based on Graph Theory for PET Image Analysis.
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.
CoRR, 2018


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