Zhanli Hu

发表

Low-Dose 68 Ga-PSMA Prostate PET/MRI Imaging Using Deep Learning Based on MRI Priors

Xin Liu, Yongfeng Yang, Fuquan Deng, 2022, Frontiers in Oncology.

Low-dose dental CT image enhancement using a multiscale feature sensing network

D. Liang, Yongfeng Yang, Xin Liu, 2020 .

Performance of a SiPM based semi-monolithic scintillator PET detector

D. Liang, Yongfeng Yang, Xin Liu, 2017, Physics in medicine and biology.

Precision isochronous mass measurements at the storage ring CSRe in Lanzhou

X. Zhang, K. Blaum, Zhanli Hu, 2011 .

Low-count PET image restoration using sparse representation

Dong Liang, Juan Gao, Zhanli Hu, 2018 .

Development and Evaluation of a High Performance Micro-CT System for Insect or Small Animal Imaging

Junyan Rong, Hairong Zheng, Zhanli Hu, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Dual-ended readout small animal PET detector by using 0.5 mm pixelated LYSO crystal arrays and SiPMs

D. Liang, Yongfeng Yang, Xin Liu, 2019, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning

Xin Liu, Yongfeng Yang, Meiyun Wang, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

The value of AI in the Diagnosis, Treatment, and Prognosis of Malignant Lung Cancer

Zhanli Hu, Y. Wang, Haihua Cai, 2022, Frontiers in Radiology.

Deep Learning-Based Automated Detection of Arterial Vessel Wall and Plaque on Magnetic Resonance Vessel Wall Images

Xin Liu, Zhenhuan Gong, Seng Jia, 2022, Frontiers in Neuroscience.

Depth encoding PET detectors using single layer crystal array with different reflector arrangements along depths

Zhanli Hu, Chunhui Zhang, Ziru Sang, 2019, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms

Jun Liu, D. Liang, Xin Liu, 2020, Applied Intelligence.

An iterative image-based inter-frame motion compensation method for dynamic brain PET imaging

D. Liang, Wei Wang, Xin Liu, 2022, Physics in medicine and biology.

An improved PET image reconstruction method based on super-resolution

D. Liang, Xin Liu, Hairong Zheng, 2019 .

Ultralow-Dose Pediatric Total-Body PET/CT Imaging Using an Artificial Intelligence Technique

D. Liang, Xin Liu, Yongfeng Yang, 2022, SSRN Electronic Journal.

Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET

Xin Liu, Yongfeng Yang, Yan Bai, 2022, EJNMMI Physics.

Comparison between a dual-time-window protocol and other simplified protocols for dynamic total-body 18F-FDG PET imaging

Xin Liu, Yongfeng Yang, Yan Bai, 2022, EJNMMI Physics.

Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging

Tao Sun, Xin Liu, Yongfeng Yang, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

FDG PET Scan Durations via Effective Data Processing.

Yongfeng Yang, Xin Liu, Yun Zhou, 2021, Medical physics.

Deep learning–based dynamic PET parametric K_i image generation from lung static PET

Xin Liu, Yongfeng Yang, Meiyun Wang, 2022, European Radiology.

Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning

Xin Liu, Yongfeng Yang, Meiyun Wang, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation

T. Zeng, Zhi-Feng Pang, Dong Liang, 2022, Signal Process..

Artifact correction in low‐dose dental CT imaging using Wasserstein generative adversarial networks

Dong Liang, Hairong Zheng, Fengyi Sun, 2019, Medical physics.

A method for the measurement of elastic scattering angular distribution at HIRFL-RIBLL

Z. Bai, Y. Yang, Zhanli Hu, 2013 .

β -delayed two-proton decay of S27 at the proton-drip line

J. Liu, S. Wang, Haoran Sun, 2021 .

Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array.

Jianwei Chen, Zhanli Hu, Yongshuai Ge, 2020, Journal of X-ray science and technology.

Mutual interferences between SIAT aPET insert and a 3 T uMR 790 MRI scanner

Xin Liu, Yongfeng Yang, Dong Liang, 2022, Physics in medicine and biology.

DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images

Dong Liang, Zhanli Hu, Yongshuai Ge, 2021, Displays.

The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention Network

Zhanli Hu, Hao Shen, Guoshuai Wang, 2021, HECKTOR@MICCAI.

PET parametric imaging based on MR frequency-domain texture information

D. Liang, Qiang He, Zhanli Hu, 2022, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Performance of long rectangular semi‐monolithic scintillator PET detectors

Dong Liang, Zhanli Hu, Xin Liu, 2019, Medical physics.

A depth-encoding PET detector that uses light sharing and single-ended readout with silicon photomultipliers

D. Liang, Yongfeng Yang, Xin Liu, 2018, Physics in medicine and biology.

A thick semi-monolithic scintillator detector for clinical PET scanners

Yongfeng Yang, Zhanli Hu, Chunhui Zhang, 2021, Physics in medicine and biology.

Design and performance of SIAT aPET: a uniform high-resolution small animal PET scanner using dual-ended readout detectors

D. Liang, Yongfeng Yang, Xin Liu, 2020, Physics in medicine and biology.

Development of depth encoding small animal PET detectors using dual‐ended readout of pixelated scintillator arrays with SiPMs

Dong Liang, Zhanli Hu, Xin Liu, 2018, Medical physics.

Performance of a depth encoding PET detector module using light sharing and single-ended readout with SiPMs

D. Liang, Yongfeng Yang, Xin Liu, 2019, Physics in medicine and biology.

Performance of a high-resolution depth encoding PET detector using barium sulfate reflector

Dong Liang, Zhanli Hu, Xin Liu, 2017, Physics in medicine and biology.

Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging

Zhanli Hu, Dong Liang, Yongshuai Ge, 2020, Physics in medicine and biology.

ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge.

Hairong Zheng, Zhanli Hu, Dong Liang, 2020, Quantitative imaging in medicine and surgery.

Image reconstruction from few-view CT data by gradient-domain dictionary learning.

Dong Liang, Na Zhang, Qiegen Liu, 2016, Journal of X-ray science and technology.

Spatial adaptive and transformer fusion network (STFNet) for low-count pet blind denoising with MRI.

D. Liang, Yongfeng Yang, Xin Liu, 2021, Medical physics.

CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging

Dong Liang, Chengjin Zhang, Zhanli Hu, 2020, IEEE Transactions on Computational Imaging.

A Motion Compensation Approach for Oral and Maxillofacial Cone-beam Imaging

D. Liang, J. Nuyts, R. Fulton, 2020, 2009.08218.

Real-Time 3D Space Coordinate Acquisition of Medical Visualization Data

Hairong Zheng, Dan Xia, Jing Zou, 2010 .

Real-Time Visualization and Interaction of Three-dimensional Human CT Images

Junyan Rong, Jing Zou, Hairong Zheng, 2010, J. Comput..

Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks

Zhanli Hu, Hairong Zheng, Dong Liang, 2020, Physics in medicine and biology.

Self-wavelength shifting in two-dimensional perovskite for sensitive and fast gamma-ray detection

Guangda Niu, K. Xue, Zhanli Hu, 2023, Nature communications.

An iterative reconstruction method for sparse-projection data for low-dose CT.

Zhanli Hu, Guanxun Cheng, Zixiang Chen, 2021, Journal of X-ray science and technology.

Geometric Calibration of a Micro-CT System and Performance for Insect Imaging

Dan Xia, Junyan Rong, Jing Zou, 2011, IEEE Transactions on Information Technology in Biomedicine.

Geometric Calibration Method Based Micro-CT System for Small-Animal Imaging

Junyan Rong, Hairong Zheng, Zhanli Hu, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation

Zhanli Hu, Qiyang Zhang, Changhui Jiang, 2018, Scientific Reports.

Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks

Zhanli Hu, Xin Liu, Xinfeng Liu, 2020, Neurocomputing.

Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests

Dong Liang, Hairong Zheng, Zhanli Hu, 2019, Sensors.

Investigation of BPF algorithm in cone-beam CT with 2D general trajectories.

Junyan Rong, Zhanli Hu, Jianbao Gui, 2012, Journal of X-ray science and technology.

Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder–Decoder Convolutional Neural Network for Low-Dose CT Imaging

Xin Liu, Yongfeng Yang, Dong Liang, 2022, IEEE Transactions on Radiation and Plasma Medical Sciences.

Extraction of Any Angle Virtual Slice on 3D CT Image

Zhanli Hu, Zhanli Hu, 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

DPIR-Net: Direct PET Image Reconstruction Based on the Wasserstein Generative Adversarial Network

Hairong Zheng, Juan Gao, Zhanli Hu, 2020, IEEE Transactions on Radiation and Plasma Medical Sciences.

Few-view CT image reconstruction using improved total variation regularization.

Hairong Zheng, Dong Liang, Zhanli Hu, 2019, Journal of X-ray science and technology.

Positron emission tomography image reconstruction using feature extraction.

Juan Gao, Hairong Zheng, Dong Liang, 2019, Journal of X-ray science and technology.

Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning

Xin Liu, Hairong Zheng, Jing Cheng, 2019 .

A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment

Hao Shen, J. Liu, Jing Qin, 2023, Quantitative imaging in medicine and surgery.

Synthesizing PET/MR (T1-weighted) images from non-attenuation-corrected PET images

D. Liang, Yongfeng Yang, Xin Liu, 2021, Physics in medicine and biology.

An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction

D. Liang, Yongfeng Yang, N. Zhang, 2017, Scientific Reports.

The Study of Reconstruction Image Quality Resulting from Geometric Error in Micro-CT System

Xin Liu, Junyan Rong, Hairong Zheng, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Low-Dose 68 Ga-PSMA Prostate PET/MRI Imaging Using Deep Learning Based on MRI Priors

Yongfeng Yang, Xin Liu, Fuquan Deng, 2021, Frontiers in Oncology.

Design of Electrostatic Focusing Lens for an X-ray Source with Carbon Nanotube Cathode

Dong Liang, Hairong Zheng, Zhanli Hu, 2015 .

LCPR-Net: low-count PET image reconstruction using the domain transform and cycle-consistent generative adversarial networks.

Chao Zhou, Hairong Zheng, Zhanli Hu, 2021, Quantitative imaging in medicine and surgery.

DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging

Zhanli Hu, Guotao Quan, Ping Lu, 2020, Physics in medicine and biology.

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model

Yihang Zhou, Zhuoxu Cui, Yanjie Zhu, 2023, ArXiv.

Improved GAN: Using a transformer module generator approach for material decomposition

Zhanli Hu, Hao Shen, Zhou Liu, 2022, Comput. Biol. Medicine.

Image reconstruction for positron emission tomography based on patch‐based regularization and dictionary learning

Dong Liang, Juan Gao, Zhanli Hu, 2019, Medical physics.

A feature refinement approach for statistical interior CT reconstruction

Dong Liang, Jianhua Ma, Zhanli Hu, 2016, Physics in medicine and biology.

PWLS-PR: low-dose computed tomography image reconstruction using a patch-based regularization method based on the penalized weighted least squares total variation approach.

Dong Liang, Zhanli Hu, Qian Wan, 2021, Quantitative imaging in medicine and surgery.

Low-dose CT reconstruction method based on prior information of normal-dose image.

Zhanli Hu, Zixiang Chen, Chao Zhou, 2020, Journal of X-ray science and technology.

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement

Yongfeng Yang, Meiyun Wang, Fang-Xiang Wu, 2023, IEEE Journal of Biomedical and Health Informatics.

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites

Zhanli Hu, Xin Liu, Hairong Zheng, 2021, IEEE Journal of Biomedical and Health Informatics.

The synthesis of high-energy CT images from low-energy CT images using an improved cycle generative adversarial network.

Zhanli Hu, Zhi-Feng Pang, Xinfeng Liu, 2021, Quantitative imaging in medicine and surgery.

MRI-aided kernel PET image reconstruction method based on texture features

D. Liang, Yongfeng Yang, Xin Liu, 2021, Physics in medicine and biology.

Voxel-wise mapping of DCE-MRI time-intensity-curve profiles enables visualizing and quantifying hemodynamic heterogeneity in breast lesions.

M. Wang, Xin Liu, Dong Liang, 2023, European radiology.

Low-dose PET image denoising based on coupled dictionary learning

D. Liang, Xin Liu, Qiang He, 2021, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Feasibility of a deep learning algorithm to achieve the low-dose 68Ga-FAPI/the fast-scan PET images: a multicenter study.

Dong Liang, Zhanli Hu, Yue Chen, 2023, British Journal of Radiology.

TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner

Dong Liang, Zhanli Hu, Zixiang Chen, 2022, Comput. Biol. Medicine.

Compressive sampling in computed tomography: Method and application

Dong Liang, Zhanli Hu, Dan Xia, 2014 .

Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning

Wenbo Li, Yongfeng Yang, Dong Liang, 2023, European Journal of Nuclear Medicine and Molecular Imaging.

Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture

Hairong Zheng, Zhanli Hu, Wenjian Qin, 2020, Biomedical physics & engineering express.

Reducing pediatric total-body PET/CT imaging scan time with multimodal artificial intelligence technology

Yongfeng Yang, Zhanli Hu, Chao Zhou, 2024, EJNMMI physics.

Combining deep learning with a kinetic model to predict dynamic PET images and generate parametric images

Zhanli Hu, Liwen Wan, Dong Liang, 2023, EJNMMI Physics.

Inferring CT perfusion parameters and uncertainties using a Bayesian approach.

D. Liang, R. Fulton, Hairong Zheng, 2021, Quantitative imaging in medicine and surgery.

Dynamic PET Imaging Using Dual Texture Features

D. Liang, Zhanli Hu, Zixiang Chen, 2022, Frontiers in Computational Neuroscience.

Direct and indirect parameter imaging methods for dynamic PET

Zhanli Hu, Xin-Qi Mao, Na Zhang, 2021, Biomedical physics & engineering express.

A 3D attention residual encoder–decoder least-square GAN for low-count PET denoising

D. Liang, Yongfeng Yang, Xin Liu, 2020 .

Super-resolution of PET image based on dictionary learning and random forests

Dong Liang, Ying Wang, Zhanli Hu, 2019, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Medical Multimodal Image Transformation With Modality Code Awareness

Qiang He, Zhanli Hu, Chao Zhou, 2024, IEEE Transactions on Radiation and Plasma Medical Sciences.

Learning CT-free attenuation-corrected total-body PET images through deep learning.

Yongfeng Yang, Zhanli Hu, Chao Zhou, 2024, European radiology.

Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation

Rui Fan, Zhanli Hu, Qiyang Zhang, 2018, Scientific Reports.

Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC)

Xiang Li, Dong Liang, Zhanli Hu, 2023, Biomed. Signal Process. Control..

Novel reconstruction of low-dose DCP-CT images using a regularized least-squares method based on voxel-level TAC correction (RLS-VC)

Xiang, Dong Liang, Zhanli Hu, 2022 .

Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism pdf

Dong Liang, Ying Wang, Zhanli Hu, 2021, Medical physics.

Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision

Dong Liang, Zhanli Hu, S. Zhong, 2023, Comput. Methods Programs Biomed..

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning

Yaoqin Xie, Pengfei Yang, Zhanli Hu, 2022, IEEE Transactions on Medical Imaging.

Accurate brain pharmacokinetic parametric imaging using the blood input function extracted from the cavernous sinus.

Zixiang Chen, Zhanli Hu, Yang Yu, 2024, American journal of nuclear medicine and molecular imaging.

A novel automatic segmentation method directly based on magnetic resonance imaging K-space data for auxiliary diagnosis of glioma

Seng Jia, Zhanli Hu, Lei Zhang, 2024, Quantitative imaging in medicine and surgery.

OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising

Yongfeng Yang, Fangxiang Wu, Qiang He, 2023, IEEE Transactions on Medical Imaging.

A fast reading and processing method of batch human CT image data

Zhanli Hu, Hairong Zheng, Jianbao Gui, 2009, 2009 ISECS International Colloquium on Computing, Communication, Control, and Management.