The Advanced Nuclear Medicine and Molecular Imaging Lab
Xie, Zhaoheng（谢肇恒）
Principal Investigator/Assistant Professor (Tenure-track):
Institude of Medical Technology, Peking University Health Science Center, Peking University
Courtesy Appointment:The National Biomedical Imaging Center (NBIC), College of Future Technology, Peking University
Email: xiezhaoheng@pku.edu.cn
I am an Assistant Professor (tenure-track) at the Institute of Medical Technology, Peking University Health Science Center, with a courtesy appointment at the National Biomedical Imaging Center, Peking University. My laboratory is dedicated to innovative research in nuclear medicine and molecular imaging, with a focus on PET/SPECT image reconstruction, quantitative kinetic modeling and parametric imaging, radiopharmaceutical dosimetry and theranostic optimization, as well as AI-driven multimodal image analysis and clinical decision support.
Before joining Peking University, I was a Postdoctoral Fellow at UC Davis, where I contributed to the development of several landmark imaging systems, including the world’s first total-body PET scanner EXPLORER and the NeuroEXPLORER brain PET system for the U.S. BRAIN Initiative. Over the past decade, I have also participated in a series of major imaging technology projects spanning small-animal multimodality imaging, total-body PET, dedicated brain PET, and high-resolution total-body PET/CT systems with depth-of-interaction capability.
To date, I have published more than 40 papers in leading international SCI journals, including Nature Communications, IEEE Transactions on Medical Imaging, and Medical Image Analysis, and have delivered more than 10 oral presentations at major international conferences such as SNMMI, EANM, IEEE NSS/MIC, and Fully 3D. I also hold more than 10 patents, including patents granted in both China and the United States. My work has been featured by major scientific media outlets, including Science, Nature News, and NIH, reflecting a sustained commitment to bridging imaging physics, computational methodology, and translational clinical applications.
Under my supervision, students have received national- and state-level funding & awards, including one National Natural Science Foundation Youth Student Basic Research Project award and two Beijing Natural Science Foundation “Qiyan” awards. Members of the group have also been recognized as “Outstanding Graduates of Beijing” and received the “Outstanding Undergraduate Thesis Award of Peking University.”
Selected Funding & Award
- Principal Investigator of NSFC Major Project (Sub-project), 2023
- NSFC Excellent Young Scholars Fund (Overseas), 2022
- SNMMI Young Investigator Award(1st place Winners), 2020
- SNMMI Henry N. Wagner Best Paper Award, 2019
News
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May 2026, 招生信息（2027年秋入学）：本课题组通过医学技术研究院（一级学科：医学技术）招收博士研究生1名（直博/普博）、硕士研究生名额待定。研究方向为基于分子影像的智能放疗（医学、信息、物理交叉领域）。欢迎物理、人工智能、生物医学工程等学科背景的同学申请。本科保研同学请于6月初前联系，硕士起点申请者请于9月底前联系。要求：为人正派真诚，具备扎实数学基础与代码功底，具有批判性思维、自驱力与探索精神。若课题组名额已满，合适的candidates可强推至相近研究领域的靠谱导师。
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May 2026, Our paper NeuronCtrl: Geometry-Aware Safe Closed-Loop Generative Control for Neuronal Microenvironment Dynamics has been accepted as a spotlight paper at ICML 2026 . The paper is in the top 2.2% of 23,918 submissions (536 spotlights out of 6,352 accepted papers). Congratulations to @Haowei and all co-authors!
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Apr. 2026, Welcome to Xiangcen Wu (UCL profile), who recently completed his PhD at University College London and joined our lab as a postdoctoral researcher!
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Admission 2026: PhD positions (including direct-entry and application-based programs) will be available. Official announcements expected in late April and early May. Stay tuned!
Feb. 2026, Our paper "Enhancing Uncertainty Assessment in Dynamic PET Imaging with Residual Permutation and Clustering" has been accepted by Medical Image Analysis.
Jan. 2026 – PhD student Yixin Chen has been awarded the National Natural Science Foundation of China (NSFC) Young Student Basic Research Project (Doctoral Student). Under the supervision of Asst Prof. Zhaoheng Xie, his project aims to develop SOTA techniques for multi-organ metabolic coupling research using PET imaging.
Dec. 2025 – Our paper titled "Neural Network Approximation Aided Kinetic Parameter Inference of Compartment Models in Dynamic PET" has been accepted by IEEE Transactions on Radiation and Plasma Medical Sciences.
Sep. 2025 – Our paper on an unsupervised neural network approach for dual-time-window PET acquisition in the Patlak plot has been accepted by EJNMMI Physics.
Aug. 2025 – Led by undergraduate student Sheng Liu, with contributions from YuQiao Wang and the Department of Otolaryngology at Peking University Third Hospital, the project “Quantitative Analysis of Drug-Induced Sleep Endoscopy Images Based on Spatial Intelligence and Dynamic Features” received support from the Beijing Natural Science Foundation “QiYan” Program.
Jul. 2025 – Undergraduate student Ruoyan Xu and master’s student Yang Wang were honored as Beijing Outstanding Graduates.
Jul. 2025 – Our paper on a Modality-projection universal model for comprehensive full-body medical imaging segmentation has been accepted by Nature Communications.
Jun. 2025 – Undergraduate student Ruoyan Xu received the Peking University Outstanding Undergraduate Thesis Award.
Jun. 2025 – Our study on multiorgan metabolic dysregulation in Alzheimer's disease has been accepted for presentation at European Association of Nuclear Medicine Congress 2025 (The largest international meeting in nuclear medicine).
May 2025 – Our work on multi-GPU total-body PET image reconstruction has been accepted for Oral Presentation at Fully 3D 2025 (Premier conference dedicated to 3D image reconstruction in medical imaging).
Mar. 2025 – Our paper on brain interstitial fluid imaging has been accepted by Sensing and Imaging.
Oct. 2024 – Our work on low-dose universal-tissue CT image domain adaptation for medical segmentation was accepted by MICCAI 2024 (Top-tier conference in medical image field).
Aug. 2024 – Led by undergraduate student Ruoyan Xu, with participation from the Department of Radiology at Peking University Third Hospital, the project “Intelligent Diagnosis and Staging of Alzheimer’s Disease Based on Multimodal Imaging” received support from the Beijing Natural Science Foundation “QiYan” Program.
Jul. 2024 – Our paper introducing a novel graphical plot in dynamic PET imaging was accepted by Physics in Medicine & Biology (PMB).
Jun. 2024 – Our work on uncertainty evaluation in dynamic PET imaging was accepted for Oral Presentation at the SNMMI Annual Meeting.
May 2024 – Our study on suppressing label noise in medical image classification was accepted by Physics in Medicine & Biology (PMB).
Apr. 2024 – Our Prior Category Network (PCNet) for CT universal segmentation was accepted by IEEE Transactions on Medical Imaging (TMI).
Apr. 2024 – Our paper on structure-enhanced unsupervised domain adaptation for CT whole-brain segmentation was accepted by IEEE Transactions on Radiation and Plasma Medical Sciences.
Nov. 2023 – Invited to give a talk at the Total-body PET Workshop during IEEE NSS/MIC 2023 (The premier international conference on nuclear science and medical imaging).
Nov. 2023 – Our study on optimizing coincidence sorting protocols for total-body PET was accepted by IEEE NSS/MIC 2023.
Jun. 2023 – Our work on fast and robust estimation of kinetic parameters in dynamic PET imaging was accepted for Oral Presentation at the SNMMI Annual Meeting (The premier international conference in nuclear medicine and molecular imaging).
Jue. 2022 – Our paper on a Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time has been accepted by Frontiers in Oncology. This work is a follow-up to our Journal of Nuclear Medicine paper, which reported the world’s first integrated quad-modality molecular imaging system for small animals.
Research Interests
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Theranostics
PET/SPECT image reconstruction
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Pharmacology&kinetics modeling
AI4Science&AI4Medicine
Lab Members
Faculty
Postdoctoral Researchers
Xiangcen Wu
(吴相岑)
Postdoc
2026 ~ Now
Xiangcen Wu
PhD Students
Kunlun Xu
(田子枫)
PhD
2019 ~ 2025
Zifeng Tian
Zhao Wang
(王曌)
PhD
2023 ~ Now
Zhao Wang
Yixin Chen
(陈亦新)
PhD
2023 ~ Now
Yixin Chen
Xin Zhao
(赵鑫)
PhD
2024 ~ Now
Xin Zhao
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Zhengkun Dong
(董正坤)
PhD
2024 ~ Now
Zhengkun Dong
Wenpei Jiao
(焦文沛)
PhD
2024 ~ Now
Wenpei Jiao
Ruoyan Xu
(徐若妍)
PhD
2025 ~ Now
Ruoyan Xu
Haowei Xu
(徐皓玮)
PhD
2025 ~ Now
Haowei Xu
Master Students
Yang Wang
(汪洋)
Master RA
2022 ~ Now
Yang Wang
Zhengyan Deng
(邓政言)
Master
2023 ~ Now
Zhengyan Deng
Wenrui Shao
(邵闻睿)
Master
2023 ~ Now
Wenrui Shao
Kun Ma
(马琨)
Master
2024 ~ Now
Kun Ma
Yuyao Wang
(王语瑶)
Master
2025 ~ Now
Yuyao Wang
Undergraduate Students
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Xuan Xiao
(肖璇)
Undergraduate
2026 ~ Now
Xuan Xiao
Sheng Liu
(刘圣)
Undergraduate
2023 ~ Now
Sheng Liu
Alumni
Yuqiao Wang
Fengguang Li
Research Overview
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Research Interests
| Zhao Wang (王曌) | z.wang@stu.pku.edu.cn | High spatiotemporal resolution PET image reconstruction for long axial field-of-view systems |
| Zhengkun Dong (董正坤) | dongzhengkun@stu.pku.edu.cn | Personalized dosimetry and quantitative SPECT reconstruction for theranostics |
| Zifeng Tian (田子枫) | tianzifeng1990@pku.edu.cn | Dynamic PET image enhancement and quantitative analysis |
| Yixin Chen (陈亦新) | yixinchen970320@126.com | Multimodal medical image segmentation methods and applications |
| Wenrui Shao (邵闻睿) | wenrui_shao@stu.pku.edu.cn | Neural network-based methods for dynamic PET parametric estimation and applications |
| Xin Zhao (赵鑫) | xzhao@bjmu.edu.cn | Attenuation correction methods based on intrinsic Lu-176 radiation and their applications |
| Wenpei Jiao (焦文沛) | jwp@stu.pku.edu.cn | Automatic PET/CT report generation based on multimodal large language models |
| Kun Ma (马琨) | makun8049@163.com | Occult cervical lymph node metastasis in oral cancer |
| Ruoyan Xu (徐若妍) | xuruoyan@stu.pku.edu.cn | Intelligent diagnosis, staging, and subtyping of Alzheimer's disease based on multimodal imaging |
| Yuyao Wang (王语瑶) | wangyuyao0510@yeah.net | Timing resolution optimization for TOF-PET detectors |
| Yang Wang (汪洋) | wang_yang@bjmu.edu.cn | Mechanistic studies of Alzheimer's disease based on brain interstitial fluid dynamics |
| Zhengyan Deng (邓政言) | 2301213591@pku.edu.cn | Deep learning-based CT-free attenuation correction for brain PET |
| Haowei Xu (徐皓玮) | haoweixu@stu.pku.edu.cn | Scientific machine learning for simulation, control, and design of neuronal microenvironments |
| Xiangcen Wu (吴相岑) | 2616398046@bjmu.edu.cn | Multimodal (PET/CT/MRI) medical image registration and cancer diagnosis and treatment decision-making |
Publications
(MedIA'26) - Ma, K.†, Cheng, F.†, Liu, W., Shao, W., Yang, Y., Li, N., Meng, X.*, and Xie, Z.*, "Enhancing Uncertainty Assessment in Dynamic PET Imaging with Residual Permutation and Clustering", in Medical Image Analysis, 2026.
[bib] [DOI](IEEE TRPMS'26) - Shao, W., Chen, Y., Fu, O., Li, T., Yang, Z., Li, N., Han, H., Meng, X.*, and Xie, Z.*, "Neural Network Approximation Aided Kinetic Parameter Inference of Compartment Models in Dynamic PET", in IEEE Transactions on Radiation and Plasma Medical Sciences, pp. 1-1, 2026.
[bib] [DOI](EJNMMI Phys.'25) - Shao, W.†, Zhang, Y.†, Du, F., Cheng, F., Chen, Y., Meng, X., Liang, Y.*, and Xie, Z.*, "Neural network-aided unsupervised input function estimation for dual-time-window PET Patlak analysis", in EJNMMI Physics, vol. 12, p. 100, 2025.
[bib] [DOI](Nat. Commun.'25) - Chen, Y.†, Gao, L.†, Gao, Y., Wang, R., Lian, J., Meng, X., Duan, Y., Chai, L., Han, H., Cheng, Z.*, and Xie, Z.*, "Modality-projection universal model for comprehensive full-body medical imaging segmentation", in Nature Communications, 2025
[bib] [DOI](Sens. Imaging'25) - Wang, Y., Gao, T., Su, S., Wang, T., Zhang, S., Gao Y.*, Xie, Z.*, and Han, H.*, "Imaging Brain Interstitial Fluid", in Sensing and Imaging, vol. 26, no. 1, pp. 38, 2025
[bib] [DOI](Neural Netw.'25) - Wang, Q., Zhang, S., Zeng, D., Xie, Z., Guo, H., Zeng, T., and Fan, F. L.*, "Don’t fear peculiar activation functions: EUAF and beyond", in Neural Networks, vol. 189, pp. 107258, 2025
[bib](EANM'25) - Xu, R., Duan, Y., Gao, L., Chen, Y., Cheng, Z.*, and Xie, Z.*, "Multiorgan Metabolic Dysregulation in Alzheimer's Disease: Total-body PET/CT Reveals Systemic Network Interactions with Amyloid Burden", in Annual Congress of the European Association of Nuclear Medicine (EANM), 2025
[bib](Fully 3D'25) - Zhao, W., Zhao, X., Dong, Z., Ren, Q., and Xie, Z.*, "Load Balancing for Multi-GPU Total-Body PET Image Reconstruction", in Proc. of the 18th Intl. Meeting on Fully 3D Image Reconstruction, 2025
[bib] [news](Expert Syst. Appl.'24) - Zhang, X., Chen, Q., He, H., Zhu, L., Xie, Z., Lu, Y.*, and Cheng, F.*, "Generative learning-based lightweight MRI brain tumor segmentation with missing modalities", in Expert Systems with Applications, vol. 257, pp. 125478, 2024
[bib] [DOI](Phys. Med. Biol.'24) - Tian, Z., Zuo, Y., Xi, P., Meng, X., Shao, W., Yang, Y., Ren, Q., Yu, J.*, and Xie, Z.*, "A Novel Relative-Equilibrium Graphical Plot for Rapid Reversible Tracer Studies in Dynamic PET Imaging", in Physics in Medicine & Biology, vol. 69, no. 15, pp. 155006, 2024
[bib] [DOI] [news](IEEE Trans. Med. Imaging'24) - Chen, Y., Gao, Y., Han, H., Shao, W., Lu, Y., and Xie, Z.*, "PCNet: Prior Category Network for CT Universal Segmentation Model", in IEEE Transactions on Medical Imaging, vol. 43, no. 8, pp. 3154-3165, 2024
[bib] [DOI] [news](IEEE Trans. Radiat. Plasma Med. Sci.'24) - Chen, Y., Gao, Y., Zhu, L., Li, J., Hu, J., Han, H., Lu, Y., and Xie, Z.*, "Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation", in IEEE Transactions on Radiation and Plasma Medical Sciences, 2024
[bib] [DOI](Phys. Med. Biol.'24) - Gao, M., Jiang, H., Hu, Y., Ren, Q., Xie, Z.*, and Liu, J.*, "Suppressing Label Noise in Medical Image Classification Using Mixup Attention and Self-Supervised Learning", in Physics in Medicine & Biology, vol. 69, no. 10, pp. 105004, 2024
[bib] [DOI] [news](MICCAI'24) - Chen, Y., Meng, X., Wang, Y., Zeng, S., Liu, X., and Xie, Z.*, "LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation", in Proc. of the Intl. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
[bib](J. Nucl. Med.'24) - Ma, K., Shao, W., Tian, Z., Li, N., Meng, X., and Xie, Z.*, "Advancing Uncertainty Evaluation in Dynamic PET Imaging Through Residual Permutation and Clustering Techniques", in Journal of Nuclear Medicine, vol. 65, no. supplement 2, 2024
[bib](Med. Phys.'23) - Li, T., Xie, Z., Qi, W., Asma, E., and Qi, J.*, "Unsupervised deep learning framework for data-driven gating in positron emission tomography", in Medical Physics, vol. 50, no. 10, pp. 6142-6154, 2023
[bib] [DOI](IEEE NSS/MIC'23) - Wang, Z., Tian, Z., Peng, Q., Meng, X., Yang, Z., Ren, Q., and Xie, Z.*, "Optimization of Coincidence Sorting Protocol for Total-Body PET Based on Ring and Sector Difference", in Proc. of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2023
[bib](J. Nucl. Med.'23) - Shao, W., Chen, Y., Li, N., Yang, Y., Meng, X., and Xie, Z.*, "Fast and robust estimation of kinetic parameters in dynamic PET imaging using neural network-based discretization method", in Journal of Nuclear Medicine, vol. 64, no. supplement 1, pp. 58, 2023
[bib](IEEE NSS/MIC'23) - Xie, Z., "AI in total-body PET: Reconstruction and physics correction", (Invited Talk) in Total-body PET Workshop of IEEE NSS/MIC, 2023
[bib](Front. Oncol.'22) - Kang, Y., Zhai, X., Lu, S., Vuletic, I., Wang, L., Zhou, K., Ren, Q.*, and Xie, Z.*, "A Hybrid Imaging Platform (CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time", in Frontiers in Oncology, vol. 12, pp. 772392, 2022
[bib] [DOI](Med. Phys.'21) - Xie, Z., Li, T., Zhang, X., Qi, W., Asma, E., and Qi, J.*, "Anatomically aided PET image reconstruction using deep neural networks", in Medical Physics, vol. 48, no. 9, pp. 5244-5258, 2021
[bib] [DOI](Phys. Med. Biol.'21) - Lai, Y., Wang, Q., Zhou, S., Xie, Z., Qi, J., Cherry, S. R., and Du, J.*, "H2RSPET: a 0.5 mm resolution high-sensitivity small-animal PET scanner, a simulation study", in Physics in Medicine & Biology, vol. 66, no. 6, pp. 065016, 2021
[bib] [DOI](J. Nucl. Med.'21) - Zhang, X., Xie, Z., Zuo, Y., Wang, G., Shi, H., Cherry, S., Badawi, R., and Qi, J.*, "4D Total-Body PET Parametric Imaging with Cardiac Modulation", in Journal of Nuclear Medicine, vol. 62, no. supplement 1, pp. 54, 2021
[bib](Phys. Med. Biol.'20) - Xie, Z., Baikejiang, R., Li, T., Zhang, X., Gong, K., Zhang, M., Qi, W., Asma, E., and Qi, J.*, "Generative adversarial network based regularized image reconstruction for PET", in Physics in Medicine & Biology, vol. 65, no. 12, pp. 125016, 2020
[bib] [DOI](Alex. Eng. J.'20) - Yang, K., Zhai, X., Xie, Z., Zhou, K., Meng, X., Ren, Q., and Lu, Y.*, "A practical calibration criterion for image-based material decomposition in spectral computed tomography", in Alexandria Engineering Journal, vol. 59, no. 3, pp. 1371-1379, 2020
[bib] [DOI](PNAS'20) - Zhang, X., Cherry, S.R., Xie, Z., Shi, H., Badawi, R.D., and Qi, J.*, "Subsecond total-body imaging using ultrasensitive positron emission tomography", in Proceedings of the National Academy of Sciences, vol. 117, no. 5, pp. 2265-2267, 2020
[bib] [DOI](J. Nucl. Med.'20) - Zhang, X., Xie, Z., Berg, E., Judenhofer, M.S., Liu, W., Xu, T., Ding, Y., Lv, Y., Dong, Y., Deng, Z., Tang, S., Cherry, S., Badawi, R., and Qi, J.*, "Total-body dynamic reconstruction and parametric imaging on the uEXPLORER", in Journal of Nuclear Medicine, vol. 61, no. 2, pp. 285-291, 2020
[bib] [DOI](IEEE NSS/MIC'20) - Xie, Z. and Qi, J.*, "Image domain deep scatter estimation for high-temporal resolution dynamic PET", in Proc. of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2020
[bib](J. Nucl. Med.'20) - Xie, Z. and Qi, J.*, "Anatomy-guided PET image reconstruction with deep neural network", in Journal of Nuclear Medicine, vol. 61, no. supplement 1, pp. 8, 2020
[bib](J. BUON'19) - Tian, J., Zhou, K., Xie, Z., Xu, B., Tian, J., Chen, Y., Zhu, X., and Ren, Q.*, "An applicable method for PET/CT image quality assessment and comparison among three PET/CT systems with similar physical performance in cancer patients", in Journal of BUON, vol. 24, no. 6, pp. 2560-2569, 2019
[bib](IEEE NSS/MIC'19) - Xie, Z. and Qi, J.*, "Deep learning based PET image reconstruction protocol for inter-vendor scanners", in Proc. of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2019
[bib](Fully 3D'19) - Xie, Z., Baikejiang, R., Gong, K., and Qi, J.*, "Generative adversarial networks based regularized image reconstruction for PET", in Proc. of the 15th Intl. Meeting on Fully 3D Image Reconstruction, 2019
[bib](Chin. Opt. Lett.'18) - Xia, K., Zhai, X., Xie, Z., Zhou, K., Feng, Y., Zhang, G., and Li, C.*, "Dual-modal photoacoustic/CT imaging system", in Chinese Optics Letters, vol. 16, no. 12, pp. 121701, 2018
[bib] [DOI](Nucl. Instrum. Methods Phys. Res. A'18) - Xie, Z., Li, S., Zhou, K., Vuletic, I., Meng, X., Zhu, S., Xu, H., Yang, K., Xu, B., Zhang, J., and Ren, Q.*, "PKU-PET-II: A novel SiPM-based PET imaging system for small animals", in Nuclear Instruments and Methods in Physics Research Section A, vol. 877, pp. 104-111, 2018
[bib] [DOI](Gene Ther.'17) - Wang, L., Ivan, V., Xie, Z., Zhou, K., Guo, Q., and Ren, Q.*, "Bifidobacterium breve as a delivery vector of IL-24 gene therapy for head and neck squamous cell carcinoma in vivo", in Gene Therapy, vol. 24, no. 11, pp. 699-705, 2017
[bib] [DOI](JINST'17) - Li, S., Zhang, Q., Ivan, V., Xie, Z., Yang, K., and Ren, Q.*, "Monte Carlo simulation of Ray-Scan 64 PET system and performance evaluation using GATE toolkit", in Journal of Instrumentation, vol. 12, no. 02, pp. T02001, 2017
[bib] [DOI](Fully 3D'17) - Xie, Z., Zhou, K., Lu, Y., Yang, K., and Ren, Q.*, "A Novel Reconstruction Algorithm for Positron Emission Tomography Based on 3-D Data Rebinning", in Proc. of the 14th Intl. Meeting on Fully 3D Image Reconstruction, 2017
[bib](Sensors'16) - Xie, Z.#, Li, S.#, Yang, K., Xu, B., and Ren, Q.*, "Evaluation of a Wobbling Method Applied to Correcting Defective Pixels of CZT Detectors in SPECT Imaging", in Sensors, vol. 16, no. 6, pp. 772, 2016
[bib] [DOI](Chin. Phys. Lett.'16) - Li, S.#, Xie, Z.#, Huang, Z., Yang, K., Xu, B., and Ren, Q.*, "Off-axis imaging in keel-edge pinhole SPECT system based on Monte Carlo simulation", in Chinese Physics Letters, vol. 33, no. 4, pp. 048701, 2016
[bib] [DOI](Nucl. Instrum. Methods Phys. Res. A'15) - Li, S., Zhang, Q., Xie, Z., Yang, K., and Ren, Q.*, "GATE simulation of a LYSO-based SPECT imager: Validation and detector optimization", in Nuclear Instruments and Methods in Physics Research Section A, vol. 773, pp. 21-26, 2015
[bib] [DOI](WMIC'14) - Xie, Z., Zhou, K., Li, S., Yang, K., and Ren, Q.*, "An integrated Quad-Modality Molecular Imaging System for Small Animals", in Proc. of the World Molecular Imaging Congress (WMIC), 2014
[bib](Semicond. Optoelectron.'13) - Zhang, Q., Lu, Y., Xie, Z., Yang, K., and Ren, Q.*, "Progress in the development of CdZnTe unipolar sensing detector for medical imaging", in Semiconductor Optoelectronics, vol. 34, no. 2, pp. 171-179, 2013
[bib]
(MedIA'26) - Ma, K.†, Cheng, F.†, Liu, W., Shao, W., Yang, Y., Li, N., Meng, X.*, and Xie, Z.*, "Enhancing Uncertainty Assessment in Dynamic PET Imaging with Residual Permutation and Clustering", in Medical Image Analysis, 2026.
[bib] [DOI](IEEE TRPMS'26) - Shao, W., Chen, Y., Fu, O., Li, T., Yang, Z., Li, N., Han, H., Meng, X.*, and Xie, Z.*, "Neural Network Approximation Aided Kinetic Parameter Inference of Compartment Models in Dynamic PET", in IEEE Transactions on Radiation and Plasma Medical Sciences, pp. 1-1, 2026.
[bib] [DOI]
(EJNMMI Phys.'25) - Shao, W.†, Zhang, Y.†, Du, F., Cheng, F., Chen, Y., Meng, X., Liang, Y.*, and Xie, Z.*, "Neural network-aided unsupervised input function estimation for dual-time-window PET Patlak analysis", in EJNMMI Physics, vol. 12, p. 100, 2025.
[bib] [DOI](Nat. Commun.'25) - Chen, Y.†, Gao, L.†, Gao, Y., Wang, R., Lian, J., Meng, X., Duan, Y., Chai, L., Han, H., Cheng, Z.*, and Xie, Z.*, "Modality-projection universal model for comprehensive full-body medical imaging segmentation", in Nature Communications, 2025
[bib] [DOI](Sens. Imaging'25) - Wang, Y., Gao, T., Su, S., Wang, T., Zhang, S., Gao Y.*, Xie, Z.*, and Han, H.*, "Imaging Brain Interstitial Fluid", in Sensing and Imaging, vol. 26, no. 1, pp. 38, 2025
[bib] [DOI](Neural Netw.'25) - Wang, Q., Zhang, S., Zeng, D., Xie, Z., Guo, H., Zeng, T., and Fan, F. L.*, "Don’t fear peculiar activation functions: EUAF and beyond", in Neural Networks, vol. 189, pp. 107258, 2025
[bib](EANM'25) - Xu, R., Duan, Y., Gao, L., Chen, Y., Cheng, Z.*, and Xie, Z.*, "Multiorgan Metabolic Dysregulation in Alzheimer's Disease: Total-body PET/CT Reveals Systemic Network Interactions with Amyloid Burden", in Annual Congress of the European Association of Nuclear Medicine (EANM), 2025
[bib](Fully 3D'25) - Zhao, W., Zhao, X., Dong, Z., Ren, Q., and Xie, Z.*, "Load Balancing for Multi-GPU Total-Body PET Image Reconstruction", in Proc. of the 18th Intl. Meeting on Fully 3D Image Reconstruction, 2025
[bib] [news]
(Expert Syst. Appl.'24) - Zhang, X., Chen, Q., He, H., Zhu, L., Xie, Z., Lu, Y.*, and Cheng, F.*, "Generative learning-based lightweight MRI brain tumor segmentation with missing modalities", in Expert Systems with Applications, vol. 257, pp. 125478, 2024
[bib] [DOI](Phys. Med. Biol.'24) - Tian, Z., Zuo, Y., Xi, P., Meng, X., Shao, W., Yang, Y., Ren, Q., Yu, J.*, and Xie, Z.*, "A Novel Relative-Equilibrium Graphical Plot for Rapid Reversible Tracer Studies in Dynamic PET Imaging", in Physics in Medicine & Biology, vol. 69, no. 15, pp. 155006, 2024
[bib] [DOI] [news](IEEE Trans. Med. Imaging'24) - Chen, Y., Gao, Y., Han, H., Shao, W., Lu, Y., and Xie, Z.*, "PCNet: Prior Category Network for CT Universal Segmentation Model", in IEEE Transactions on Medical Imaging, vol. 43, no. 8, pp. 3154-3165, 2024
[bib] [DOI] [news](IEEE Trans. Radiat. Plasma Med. Sci.'24) - Chen, Y., Gao, Y., Zhu, L., Li, J., Hu, J., Han, H., Lu, Y., and Xie, Z.*, "Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation", in IEEE Transactions on Radiation and Plasma Medical Sciences, 2024
[bib] [DOI](Phys. Med. Biol.'24) - Gao, M., Jiang, H., Hu, Y., Ren, Q., Xie, Z.*, and Liu, J.*, "Suppressing Label Noise in Medical Image Classification Using Mixup Attention and Self-Supervised Learning", in Physics in Medicine & Biology, vol. 69, no. 10, pp. 105004, 2024
[bib] [DOI] [news](MICCAI'24) - Chen, Y., Meng, X., Wang, Y., Zeng, S., Liu, X., and Xie, Z.*, "LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation", in Proc. of the Intl. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
[bib](J. Nucl. Med.'24) - Ma, K., Shao, W., Tian, Z., Li, N., Meng, X., and Xie, Z.*, "Advancing Uncertainty Evaluation in Dynamic PET Imaging Through Residual Permutation and Clustering Techniques", in Journal of Nuclear Medicine, vol. 65, no. supplement 2, 2024
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[bib] [DOI](IEEE NSS/MIC'23) - Wang, Z., Tian, Z., Peng, Q., Meng, X., Yang, Z., Ren, Q., and Xie, Z.*, "Optimization of Coincidence Sorting Protocol for Total-Body PET Based on Ring and Sector Difference", in Proc. of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2023
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[bib] [DOI](Med. Phys.'21) - Xie, Z., Li, T., Zhang, X., Qi, W., Asma, E., and Qi, J.*, "Anatomically aided PET image reconstruction using deep neural networks", in Medical Physics, vol. 48, no. 9, pp. 5244-5258, 2021
[bib] [DOI](Phys. Med. Biol.'21) - Lai, Y., Wang, Q., Zhou, S., Xie, Z., Qi, J., Cherry, S. R., and Du, J.*, "H2RSPET: a 0.5 mm resolution high-sensitivity small-animal PET scanner, a simulation study", in Physics in Medicine & Biology, vol. 66, no. 6, pp. 065016, 2021
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[bib](Phys. Med. Biol.'20) - Xie, Z., Baikejiang, R., Li, T., Zhang, X., Gong, K., Zhang, M., Qi, W., Asma, E., and Qi, J.*, "Generative adversarial network based regularized image reconstruction for PET", in Physics in Medicine & Biology, vol. 65, no. 12, pp. 125016, 2020
[bib] [DOI](Alex. Eng. J.'20) - Yang, K., Zhai, X., Xie, Z., Zhou, K., Meng, X., Ren, Q., and Lu, Y.*, "A practical calibration criterion for image-based material decomposition in spectral computed tomography", in Alexandria Engineering Journal, vol. 59, no. 3, pp. 1371-1379, 2020
[bib] [DOI](PNAS'20) - Zhang, X., Cherry, S.R., Xie, Z., Shi, H., Badawi, R.D., and Qi, J.*, "Subsecond total-body imaging using ultrasensitive positron emission tomography", in Proceedings of the National Academy of Sciences, vol. 117, no. 5, pp. 2265-2267, 2020
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[bib](J. Nucl. Med.'20) - Xie, Z. and Qi, J.*, "Anatomy-guided PET image reconstruction with deep neural network", in Journal of Nuclear Medicine, vol. 61, no. supplement 1, pp. 8, 2020
[bib](J. BUON'19) - Tian, J., Zhou, K., Xie, Z., Xu, B., Tian, J., Chen, Y., Zhu, X., and Ren, Q.*, "An applicable method for PET/CT image quality assessment and comparison among three PET/CT systems with similar physical performance in cancer patients", in Journal of BUON, vol. 24, no. 6, pp. 2560-2569, 2019
[bib](IEEE NSS/MIC'19) - Xie, Z. and Qi, J.*, "Deep learning based PET image reconstruction protocol for inter-vendor scanners", in Proc. of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2019
[bib](Fully 3D'19) - Xie, Z., Baikejiang, R., Gong, K., and Qi, J.*, "Generative adversarial networks based regularized image reconstruction for PET", in Proc. of the 15th Intl. Meeting on Fully 3D Image Reconstruction, 2019
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[bib] [DOI](Gene Ther.'17) - Wang, L., Ivan, V., Xie, Z., Zhou, K., Guo, Q., and Ren, Q.*, "Bifidobacterium breve as a delivery vector of IL-24 gene therapy for head and neck squamous cell carcinoma in vivo", in Gene Therapy, vol. 24, no. 11, pp. 699-705, 2017
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[bib] [DOI](WMIC'14) - Xie, Z., Zhou, K., Li, S., Yang, K., and Ren, Q.*, "An integrated Quad-Modality Molecular Imaging System for Small Animals", in Proc. of the World Molecular Imaging Congress (WMIC), 2014
[bib](Semicond. Optoelectron.'13) - Zhang, Q., Lu, Y., Xie, Z., Yang, K., and Ren, Q.*, "Progress in the development of CdZnTe unipolar sensing detector for medical imaging", in Semiconductor Optoelectronics, vol. 34, no. 2, pp. 171-179, 2013
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Note: * indicates the corresponding author; †/# indicates equal contribution.
Neutral Network, 2025
Expert Systems with Applications, 2024
Physics in Medicine & Biology, 2024
Medical Physics, 2023
Journal of Nuclear Medicine, 2023
Medical Physics, 2021
Alexandria Engineering Journal, 2021
PANS, 2020
Journal of BUON, 2019
Nuclear Instruments and Methods in Physics Research Section A, 2018
Chinese Optics Letters, 2018
Gene Therapy, 2017
Neutral Network, 2025
Fully 3D Image Reconstruction, 2025
Expert Systems with Applications, 2024
Physics in Medicine & Biology, 2024
Journal of Nuclear Medicine, 2023
IEEE NSS MIC RTSD, 2023
Medical Physics, 2021
Alexandria Engineering Journal, 2021
PANS, 2020
Journal of BUON, 2019
Nuclear Instruments and Methods in Physics Research Section A, 2018
Chinese Optics Letters, 2018
Gene Therapy, 2017
