Jianan Cui

Jianan Cui

Zhejiang University

H-index: 8

Asia-China

About Jianan Cui

Jianan Cui, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of PET denoising, PET reconstruction.

His recent articles reflect a diverse array of research interests and contributions to the field:

STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction

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

Dynamic low-count PET image reconstruction using spatio-temporal primal dual network

Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network

A noise-level-aware framework for PET image denoising

PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Unsupervised PET logan parametric image estimation using conditional deep image prior

2.5 D Nouveau VAE model for 11C-DASB PET image denoising and uncertainty estimation

Jianan Cui Information

University

Position

Massachusetts General Hospital (visiting PhD student)

Citations(all)

378

Citations(since 2020)

372

Cited By

100

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Zhejiang University

Google Scholar

View Google Scholar Profile

Jianan Cui Skills & Research Interests

PET denoising

PET reconstruction

Top articles of Jianan Cui

Title

Journal

Author(s)

Publication Date

STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction

Rui Hu

Jianan Cui

Chengjin Yu

Yunmei Chen

Huafeng Liu

2023/4/18

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

Chenxu Li

Jingwan Fang

Rui Hu

Jianan Cui

Huafeng Liu

2023/10/8

Dynamic low-count PET image reconstruction using spatio-temporal primal dual network

Physics in Medicine & Biology

Rui Hu

Jianan Cui

Chenxu Li

Chengjin Yu

Yunmei Chen

...

2023/6/30

Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network

Medical Physics

Jianan Cui

Kuang Gong

Paul Han

Huafeng Liu

Quanzheng Li

2022/4

A noise-level-aware framework for PET image denoising

Ye Li

Jianan Cui

Junyu Chen

Guodong Zeng

Scott Wollenweber

...

2022/9/22

PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Jianan Cui

Yutong Xie

Anand A Joshi

Kuang Gong

Kyungsang Kim

...

2022/9/16

Unsupervised PET logan parametric image estimation using conditional deep image prior

Medical image analysis

Jianan Cui

Kuang Gong

Ning Guo

Kyungsang Kim

Huafeng Liu

...

2022/8/1

2.5 D Nouveau VAE model for 11C-DASB PET image denoising and uncertainty estimation

Jianan Cui

Yutong Xie

Kuang Gong

Kyungsang Kim

Young Don Son

...

2022/6/1

SURE-based Stopping Strategy for Fine-tunable Supervised PET Image Denoising

Jianan Cui

Kuang Gong

Ning Guo

Scott Wollenweber

Floris Jansen

...

2021/10/16

The evolution of image reconstruction in PET: from filtered back-projection to artificial intelligence

Kuang Gong

Kyungsang Kim

Jianan Cui

Dufan Wu

Quanzheng Li

2021/10/1

Populational and individual information based PET image denoising using conditional unsupervised learning

Physics in Medicine & Biology

Jianan Cui

Kuang Gong

Ning Guo

Chenxi Wu

Kyungsang Kim

...

2021/7/19

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

2020

[68Ga]-DOTATATE PET Image Denoising using Unsupervised Deep Learning can Improve CNR in A Wide Range

Jianan Cui

Kuang Gong

Tinsu Pan

Quanzheng Li

2020/5/1

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

...

2020

See List of Professors in Jianan Cui University(Zhejiang University)