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Jianan Cui
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2020 – today
- 2024
- [c8]Lei Xie, Qingrun Zeng, Huajun Zhou, Guoqiang Xie, Mingchu Li, Jiahao Huang, Jianan Cui, Hao Chen, Yuanjing Feng:
Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography. ISBI 2024: 1-5 - [i7]Lei Xie, Qingrun Zeng, Huajun Zhou, Guoqiang Xie, Mingchu Li, Jiahao Huang, Jianan Cui, Hao Chen, Yuanjing Feng:
Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography. CoRR abs/2402.18856 (2024) - 2023
- [j4]Jianan Cui, Shugen Chai:
Non-exponential stability to a Timoshenko system with heat conduction and Kelvin-Voigt damping. Appl. Math. Lett. 140: 108592 (2023) - [j3]Qiaoyong Jiang, Jianan Cui, Lei Wang, Yanyan Lin, Yali Wu, Xinhong Hei:
A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity. Memetic Comput. 15(1): 45-70 (2023) - [c7]Chenxu Li, Jingwan Fang, Rui Hu
, Jianan Cui, Huafeng Liu:
LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method. ICIP 2023: 1385-1389 - [c6]Rui Hu, Jianan Cui, Chengjin Yu, Yunmei Chen, Huafeng Liu:
STPDnet: Spatial-Temporal Convolutional Primal Dual Network for Dynamic Pet Image Reconstruction. ISBI 2023: 1-5 - [i6]Chenxu Li, Rui Hu, Jianan Cui, Huafeng Liu:
LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method. CoRR abs/2302.10481 (2023) - [i5]Rui Hu, Jianan Cui, Chengjin Yu, Yunmei Chen, Huafeng Liu:
STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction. CoRR abs/2303.04667 (2023) - 2022
- [j2]Qiaoyong Jiang
Improved adaptive coding learning for artificial bee colony algorithms. Appl. Intell. 52(7): 7271-7319 (2022) - [j1]Jianan Cui, Kuang Gong, Ning Guo, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Unsupervised PET logan parametric image estimation using conditional deep image prior. Medical Image Anal. 80: 102519 (2022) - [c5]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-Level-Aware Framework for PET Image Denoising. MLMIR@MICCAI 2022: 75-83 - [c4]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:
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. MICCAI (4) 2022: 173-183 - [i4]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-level-aware Framework for PET Image Denoising. CoRR abs/2203.08034 (2022) - 2020
- [c3]Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network. MLMI@MICCAI 2020: 50-59 - [c2]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. MICCAI (7) 2020: 793-802 - [i3]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. CoRR abs/2009.05901 (2020) - [i2]Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network. CoRR abs/2009.06129 (2020)
2010 – 2019
- 2019
- [c1]Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li
Novel Radiomic Features Based on Graph Theory for PET Image Analysis. ISBI 2019: 1311-1314 - 2018
- [i1]Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network. CoRR abs/1807.01759 (2018)
Coauthor Index
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