User profiles for JIANAN CUI
 | Jianan CuiZhejiang University of Technology Verified email at zju.edu.cn Cited by 414 |
PET image denoising using unsupervised deep learning
Purpose Image quality of positron emission tomography (PET) is limited by various physical
degradation factors. Our study aims to perform PET image denoising by utilizing prior …
degradation factors. Our study aims to perform PET image denoising by utilizing prior …
CT-guided PET parametric image reconstruction using deep neural network without prior training data
Deep neural networks have attracted growing interests in medical image due to its success
in computer vision tasks. One barrier for the application of deep neural networks is the need …
in computer vision tasks. One barrier for the application of deep neural networks is the need …
Rapid in situ microwave synthesis of Fe3O4@ MIL-100 (Fe) for aqueous diclofenac sodium removal through integrated adsorption and photodegradation
S Li, J Cui, X Wu, X Zhang, Q Hu, X Hou - Journal of hazardous materials, 2019 - Elsevier
Metal-Organic Frameworks (MOFs) are efficient adsorbent and catalyst, however, the prepare
of MOFs can be extremely time consuming. The rapid in situ microwave synthesis process …
of MOFs can be extremely time consuming. The rapid in situ microwave synthesis process …
Rapid microwave synthesis of Fe3O4-PVP@ ZIF-67 as highly effective peroxymonosulfate catalyst for degradation of bisphenol F and its mechanism analysis
Various metal-based heterogeneous catalysts activated peroxymonosulfate for organic
pollutants degradation are increasingly recognized as an environmentally important sewage …
pollutants degradation are increasingly recognized as an environmentally important sewage …
Populational and individual information based PET image denoising using conditional unsupervised learning
Our study aims to improve the signal-to-noise ratio of positron emission tomography (PET)
imaging using conditional unsupervised learning. The proposed method does not require low-…
imaging using conditional unsupervised learning. The proposed method does not require low-…
Fabrication and characterization of metal organic frameworks/polyvinyl alcohol cryogel and their application in extraction of non-steroidal anti-inflammatory drugs in …
Y Wang, Y Zhang, J Cui, S Li, M Yuan, T Wang… - Analytica Chimica …, 2018 - Elsevier
A series of novel MOFs/PVA composite cryogel (MIL-101(Cr)/PVA, MIL-100(Fe)/PVA, ZIF-8(Zn)/PVA,
MOF-199(Cu)/PVA and MIL-53(Al)/PVA) were fabricated by using a facile and green …
MOF-199(Cu)/PVA and MIL-53(Al)/PVA) were fabricated by using a facile and green …
The evolution of image reconstruction in PET: from filtered back-projection to artificial intelligence
PET is a nuclear-medicine imaging technique that can provide functional images revealing
physiologic processes in vivo. By providing a quantitative measurement of the tracer uptake, …
physiologic processes in vivo. By providing a quantitative measurement of the tracer uptake, …
[HTML][HTML] Deep reconstruction model for dynamic PET images
Accurate and robust tomographic reconstruction from dynamic positron emission tomography
(PET) acquired data is a difficult problem. Conventional methods, such as the maximum …
(PET) acquired data is a difficult problem. Conventional methods, such as the maximum …
Simultaneous estimation and segmentation from projection data in dynamic PET
Purpose Dynamic positron emission tomography (PET) is known for its ability to extract
spatiotemporal information of a radio tracer in living tissue. Information of different functional …
spatiotemporal information of a radio tracer in living tissue. Information of different functional …
Unsupervised PET logan parametric image estimation using conditional deep image prior
Recently, deep learning-based denoising methods have been gradually used for PET images
denoising and have shown great achievements. Among these methods, one interesting …
denoising and have shown great achievements. Among these methods, one interesting …