HNU Medical Image Laboratory

2024

期刊论文 Peer-reviewed Journal Papers

  1. BH Zou, CJ Cao*, FJ Tao, Y Sun, LJ Wang, YQ Zhang, and JZ Sun*.Submitted to IEEE Transactions on Dependable and Secure Computing.
  2. HB Zhou, WX Liang, ZF Wen, JK Ma, ZX Xie, ZL Chen, JZ Sun, XG Hu, and CG Huang. Submitted to Annals of Vascular Surgery.
  3. CH Gao, HB Zhou, WX Liang, ZF Wen, ZX Xie, CL Liao, LM He, JZ Sun, ZL Chen, NJ Yuan*, CG Huang*, and JW Zhang*. Submitted to CNS Neuroscience & Therapeutics.
  4. ZX Jing, CJ Cao*, ZW Luo, QL Yue, Q Zhang, ZY Liu, HY Yan, CG Huang, and JZ Sun*. Submitted to Computer Networks.
  5. Y Du, JZ Sun, CY Li, BH Yang, TH Wu, and GSP Mok*. Submitted to EJNMMI Physics.
  6. ZY Peng, FW Zhang, Han Jiang, GC Liu, JZ Sun, Y Du, Y Wang*, and GSP Mok*. Submitted to Quantitative Imaging in Medicine and Surgery.
  7. ZY Liu, CJ Cao*, FJ Tao, Q Zhang, and JZ Sun*. Overcoming homophily bias: graph anomaly detection based on integrated learning. XX, 2024.
  8. BH Zou, CJ Cao, LJ Wang*, YN Cheng, CX Dang, Y Liu, and JZ Sun. Feature graph construction with static features for malware detection. IET Information Security, 2024.
  9. Q Zhang, ZB Ying, J Shen, S-K Kou, JZ Sun, and B Zhang*. Unsupervised color-based nuclei segmentation in histopathology images with various color spaces and K values selection. International Journal of Image and Graphics, (2024): 2550061.
  10. BH Zou, CJ Cao*, LJ Wang, SZ Fu, TH Qiao, and JZ Sun. FACILE: A capsule network with fewer capsules and richer hierarchical information for malware image classification. Computers & Security, 137 (2024): 103606.

会议论文及报告 Conference Proceedings & Presentation

  1. TH Qiao, CJ Cao, BH Zou, FJ Tao, YN Cheng, Q Zhang, and JZ Sun*. A weighted discrete wavelet transform-based capsule network for malware classification. Paper accepted for presentation at 27 th International Conference on Pattern Recognition (ICPR 2024), December 1-5, Kolkata, India. (CCF-C)
  2. 程轶男，曹春杰*，邹炳慧，乔彤华，符思政，张琪 & 孙敬张. 用于邮件附件在线扫描 系统的恶意软件分类轻量级方法研究. 第十七届中国计算机网络与信息安全学术会议 (CCNIS 2024), 口头报告, 2024年8月18日-21日, 云南丽江.
  3. 王映麟，曹春杰*，孙旸，陶虹妃，杨皓凝，师景铖 & 孙敬张. 基于Logistic-SineCosine映射的混沌跳频序列构造方法及其性能分析. 第十七届中国计算机网络与信息安 全学术会议 (CCNIS 2024), 口头报告, 2024年8月18日-21日, 云南丽江.
  4. Y Du, JZ Sun, CY Li, BH Yang, TH Wu, and GSP Mok*. Myocardial perfusion SPECT denoising using an attention-guided generative adversarial network with integrated multifrequency generators. Paper accepted for presentation at Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2024 Annual Meeting, June 8-11, 2024. Toronto, Canada.

2023

期刊论文 Peer-reviewed Journal Papers

  1. 符思政, 曹春杰*, 刘志远, 陶方舰 & 孙敬张. 用于攻击深度哈希图像检索模型的双分支自编码器网络. 电信科学. 39, no. 11 (2023): 96-106. (中国通信学会-T1)
  2. MN Wang, CJ Cao*, XY Wang*, Q Zhang, ZX Jing, HY Yan, and JZ Sun*. CVFL: A chain-like and verifiable federated learning with computational efficiency. Mathematics, 11, no. 21 (2023): 4547. 3 / 8
  3. Q Zhang, ZB Ying, JH Zhou, JZ Sun, and B Zhang*. Broad learning model with a dual feature extraction strategy for classification. Mathematics, 11, no. 19 (2023): 4087.
  4. FJ Tao, CJ Cao*, H Li, BH Zou, LJ Wang, and JZ Sun*. Adversarial attack for deep steganography based on surrogate training and knowledge diffusion. Applied Sciences, 13, no. 11 (2023): 6588.
  5. ZL Lu, GF Chen, H Jiang, JZ Sun, K-H Lin, and GSP Mok*. SPECT and CT misregistration reduction in [ 99mTc] Tc-MAA SPECT/CT for precision liver radioembolization treatment planning. European Journal of Nuclear Medicine and Molecular Imaging. 50, no. 8 (2023): 2319-2330.
  6. Y Du, H Jiang, CN Lin, ZY Peng, JZ Sun, PY Chiu, GU Hung*, and GSP Mok*. Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT. Frontiers in Medicine, 10 (2023): 1171118.
  7. JZ Sun, CY Li, Y Du, TH Wu, YH Liu, BH Yang*, and GSP Mok*. Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. Frontiers in Medicine. 10 (2023): 1083413.
  8. Y Du, JJ Shang, JZ Sun, L Wang, YH Liu, H Xu, and GSP Mok*. Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT. Journal of Nuclear Cardiology. 30, no. 3 (2023): 1022-1037.
  9. JZ Sun, H Jiang, Y Du, CY Li, TH Wu, YH Liu, BH Yang*, and GSP Mok*. Deep learning based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal of Nuclear Cardiology. 30, no. 3 (2023): 970-985. (2024 Best Translational Paper Award in JNC)

会议论文及报告 Conference Proceedings & Presentation

  1. QL Dong, CJ Cao, HR Li, YL Wang, and JZ Sun*. Radio frequency fingerprinting identification with low-power neural networks based on weight pruning and knowledge distillation. Paper accepted for presentation at The Nineteenth International Conference on Computational Intelligence and Security (CIS’2023). December 1-4, 2023, Haikou, China.
  2. 孙敬张，李建颖，吴东信，杨邦宏，刘义华 & 莫升萍*. 基于注意力机制的生成对抗网 络对投影域低剂量心肌灌注SPECT降噪. 中华医学会核医学分会2023年学术年会, 口头汇报, 2023年9月21-23日, 陕西西安.
  3. 符思政, 曹春杰*, 刘志远, 陶方舰 & 孙敬张*. 基于双分支自编码器网络的面向深度哈希图像检索系统的攻击方法. 第十六届中国计算机网络与信息安全学术会议 (CCNIS 2023), 口头报告, 2023年8月2日-6日, 西藏拉萨.
  4. ZY Liu, CJ Cao*, FJ Tao, and JZ Sun*. Revisiting graph contrastive learning for anomaly detection. Paper accepted for presentation at 26 th European Conference on Artificial Intelligence (ECAI). September 30- October 5, 2023. Kraków, Poland.
  5. HR Li, CJ Cao*, Y Sun, HF Peng, YF Li, and JZ Sun*. Deep wavelet residual attention network for radio frequency fingerprint identification under low SNR. Paper accepted for presentation at 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS). September 25-27, 2023. Toronto, Canada.
  6. YL Wang, CJ Cao*, YF Li, QL Dong, HR Li, and JZ Sun*. Radiofrequency fingerprint feature extraction and recognition using a coordinate attention-guided deep residual shrinkage network. Paper accepted for presentation at 2023 International Conference on Networking and Network Applications (NaNA). August 18-21, 2023. Qingdao, China.
  7. SZ Fu, CJ Cao*, FJ Tao, BH Zou, XY Lin, and JZ Sun*. LGWAE: Label-guided weighted autoencoder network for flexible targeted attacks of deep hashing. Paper accepted for oral presentation at 2023 International Joint Conference on Neural Networks (IJCNN), June 18- 23, 2023. Queensland, Australia.
  8. JZ Sun, CY Li, TH Wu, BH Yang, and GSP Mok*. One-size-fits-all deep learning model for fast myocardial perfusion SPECT denoising. Paper accepted for presentation at Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2023 Annual Meeting, June 24-27, 2023. Chicago, Illinois, USA.
  9. Y Du, JZ Sun, CY Li, TH Wu, BH Yang, and GSP Mok*. Frequency specific denoising for myocardial perfusion SPECT using deep learning. Paper accepted for presentation at Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2023 Annual Meeting, June 24-27, 2023. Chicago, Illinois, USA.

2022

期刊论文 Peer-reviewed Journal Papers

  1. JZ Sun, Q Zhang, Y Du, D Zhang, PH Pretorius, MA King, and GSP Mok*. Dual gating myocardial perfusion SPECT denoising using a conditional generative adversarial network. Medical Physics. 49, no. 8 (2022): 5093-5106.
  2. JZ Sun, Y Du, CY Li, TH Wu, BH Yang, and GSP Mok*. Pix2Pix generative adversarial network for low dose myocardial perfusion SPECT denoising. Quantitative Imaging in Medicine and Surgery. 12, no. 7 (2022): 3539.

会议论文及报告 Conference Proceedings & Presentation

  1. JZ Sun, CY Li, Y Du, TH Wu, BH Yang, YH Liu, and GSP Mok*. Low dose myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. Paper accepted for oral presentation at 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), November 5-12, 2022. Milano, Italy.
  2. Y Du, J Shang, JZ Sun, L Wang, H Xu, and GSP Mok*. The effect of mismatch between SPECT and CT images on deep learning-based attenuation correction for myocardial perfusion SPECT. Paper accepted for presentation at 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), November 5-12, 2022. Milano, Italy.
  3. ZY Peng, FW Zhang, JZ Sun, Y Du, Y Wang, and GSP Mok*. Deep learning-based low dose whole body PET denoising incorporating CT priors. Paper accepted for presentation at 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), November 5-12, 2022. Milano, Italy.
  4. JZ Sun, CY Li, Y Du, TH Wu, YH Liu, BH Yang, and GSP Mok*. Deep learning-based denoising for low dose myocardial perfusion SPECT. Paper accepted for oral presentation of The 8 th Rising Nuclear Medicine Professional Challenge at 14th Asia Oceania Congress of Nuclear Medicine and Biology (AOCNMB), September 6-7, 2022. Kyoto, Japan.
  5. Y Du, ZY Peng, JZ Sun, GW Hung, and GSP Mok*. Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT. Paper accepted for oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2022 Annual Meeting, June 11–14, 2022.Vancouver, Canada.
  6. ZL Lu, GF Chen, JZ Sun, K Lin, and GSP Mok*. SPECT and CT misregistration reduction in Tc-99m-MAA SPECT/CT for precision liver radioembolization treatment planning. Paper accepted for oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2022 Annual Meeting, June 11–14, 2022. Vancouver, Canada.

Before 2022

期刊论文 Peer-reviewed Journal Papers

  1. D Zhang, JZ Sun, PH Pretorius, MA King and GSP Mok*. Clinical evaluation of three respiratory gating schemes for different respiratory patterns on cardiac SPECT. Medical physics, 47, no. 9 (2020): 4223-4232.
  2. CJ Cao*, ZQ Zhang, JZ Sun, XP Wang and MX Huang. Vulnerability analysis of interdependent scale-free networks with complex coupling. Journal of Electrical and Computer Engineering. no. 1 (2017): 9080252.
  3. 曹春杰*, 孙敬张, 张智强, 王隆娟, & 黄梦醒. 基于相似度的伪随机序列中超长稀疏特征分析. 通信学报, 37(Z1), 2016.

会议论文及报告 Conference Proceedings & Presentation

  1. Y Du, JZ Sun, and GSP Mok*. Preliminary performance evaluation of deep learning-based attenuation corrections for myocardial perfusion SPECT. Paper accepted for oral presentation at 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2021. October 16–23 2021, Yokohama, Japan.
  2. GSP Mok*, JZ Sun, Q Zhang and Y Du. Comparison of projection-based and reconstruction-based low dose SPECT image denoising using a conditional generative adversarial network. Paper accepted for oral presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), October 31–November 7, 2020, Boston, USA.
  3. JZ Sun, Q Zhang, D Zhang, PH Hendrik, MA King, and GSP Mok*. Generative adversarial network for denoising in dual gated myocardial perfusion SPECT using a population of phantoms and clinical data. Paper accepted for presentation at 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), October 28–November 3, 2019, Manchester, England.
  4. GSP Mok*, Q Zhang, JZ Sun, D Zhang, PH Hendrik, MA King. Auto-classification of respiratory trace using convolutional neural network for adaptive respiratory gated myocardial perfusion SPECT. Paper accepted for presentation at 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), October 28–November 3, 2019, Manchester, England.
  5. Q Zhang, JZ Sun and GSP Mok*. Low dose SPECT image denoising using a generative adversarial network. Paper presented at 2019 The International Conference on Medical Imaging with Deep Learning (MIDL), July 8–10, 2019, London, England.
  6. JZ Sun, CJ Cao*, and H Li. Searchable encryption scheme based on CPABE with attribute update in a cloud medical environment.Paper accepted for presentation at 2018 International Conference on Cloud Computing and Security (ICCCS), June 8-10, 2018. Haikou, China.
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孙敬张

——HNUMedImgLab PI——

Ph.D. in Electrical and Computer Engineering

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