510实验室

学术论文：

• 2012年以后发表的相关论文、专著资料目录：
• 著书（共著，藤田広志，石田隆行，桂川茂彦監修：張学軍・分担執筆） 1本
• 《実践　医用画像解析ハンドブック》pp.155-167, 2012年11月发行（日本エヌ・ピー・エス出版社， ISBN-10：4274212823， ISBN-13：9784274212826）
• 国内外学术刊物发表的文章：
• 1. Editorial Topical Collection: “Biomedical Imaging and Data Analytics for Disease Diagnosis and Treatment”, Cosimo Ieracitano and Xuejun Zhang, Bioengineering, 2024, 11(7), 726. https://doi.org/10.3390/bioengineering11070726
• 2. Bohui Liang, Hongna Qin, Xiaolin Nong, Xuejun Zhang*, Classification of Ameloblastoma, Periapical Cyst, and Chronic Suppurative Osteomyelitis with Semi-Supervised Learning: The WaveletFusion-ViT Model Approach, Bioengineering, 2024, 11, 571. https://doi.org/10.3390/bioengineering11060571
• 3. Huang Zheng; Xingliang Xiong; Xuejun Zhang*, Multi-Threshold Recurrence Rate Plot: A Novel Methodology for EEG Analysis in Alzheimer’s Disease and Frontotemporal Dementia, Brain Sciences https://doi.org/10.3390/brainsci14060565 2024, 14(6), 565
• 4. Xuejun Zhang, Shengxiang Chen, Pengfei Zhang, Chun Wang, Qibo Wang, and Xiangrong Zhou. 2024. "Staging of Liver Fibrosis Based on Energy Valley Optimization Multiple Stacking (EVO-MS) Model", Bioengineering, 2024, 11(5), 485. https://doi.org/10.3390/bioengineering11050485
• 5. Zeping Fan, Xuejun Zhang*, Min Huang and Zhaohui Bu, Sampleformer: An efficient conformer-based Neural Network for Automatic Speech Recognition, Intelligent Data Analysis (2024) 1–13
• 6. Zeping Fan, Min Huang, Xuejun Zhang*, Rongqi Liu, Xinyi Lyu, Taisen Duan, Zhaohui Bu, Jianghua Liang, Construction of an Online Cloud Platform for Zhuang Speech Recognition and Translation with Edge-Computing-Based Deep Learning Algorithm, Applied Sciences, 2023, 13(22), 12184; https://doi.org/10.3390/app132212184
• 7. Mingran Li, Xuejun Zhang*, Jiasheng Guo, and Feng Li, Cloud–Edge Collaborative Inference with Network Pruning, Electronics, 2023, 12(17), 3598; https://doi.org/10.3390/electronics12173598 (online publication SCI收录Q2, 影响因子: 2.9, 入藏号: WOS: 001060537200001)
• 8. Feng Li, Jingxian Chen, Xuejun Zhang*, A Survey of Non-Autoregressive Neural Machine Translation, Electronics, 2023, 2(13), 2980, (online publication SCI收录Q2, 影响因子: 2.9, 入藏号: WOS:001031199700001)
• 9. 张学军，突破云端Al瓶颈开创虚拟仿真教学，中国科技投资，29期，pp70-71,2023
• 10. 苏文俊，张学军，许先富，谭伊璇，李 斌，班艳娇，改进YOLOv4的人脸口罩检测与硬件加速，计算机工程与设计，2023年3月，第44卷，第3期，第798-806页
• 11. Yanjiao Ban, Huan Lao, Bin Li, Wenjun Su, Xuejun Zhang, Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning, Journal of Biomedical Informatics, https://doi.org/10.1016/j.jbi.2023.104326, vol.140 , pp.104326, 2023-03-03 (online publication SCI收录Q1, 影响因子: 8.0, 入藏号: MEDLINE:36870585)
• 12. Lan Nan, Min Tang, Bohui Liang, Shuixue Mo, Na Kang, Shaohua Song, Xuejun Zhang*, Xiaojuan Zeng, Automated Sagittal Skeletal Classification of Children Based on Deep Learning, Diagnostics, https://doi.org/10.3390/diagnostics13101719, 2023. (online publication SCI收录Q2, 影响因子: 3.6, 入藏号: WOS:000998316500001)
• 13. 张学军：发扬工匠精神，产学研“一肩挑”，人民日报，中国上思融媒，2023-07-30。 https://life.china.com/2023-07/30/content_230123.html
• 14. 张学军，“挖掘需求，让技术造福社会”，科学中国人，2022年11期，514，第28-32页 https://m.thepaper.cn/baijiahao_21829274
• 15. Xuejun Zhang*, Susu Zhang, Zhaohui Bu, Liangdi Ma and Ju Huang, Texture feature dimensionality reduction-based mammography classification using Random Forest, Journal of Computational Methods in Sciences and Engineering, 2023, (EI收录号: 20233214496268), DOI: 10.3233/JCM-226669
• 16. Jingxian Chen, Feng Li, Xuejun Zhang*, and Bin Li, "An Assistant System for Translation Flipped Classroom", Applied Sciences, 13(1):327, 2023. (online publication SCI收录Q2, 影响因子: 2.838, 入藏号: WOS: 000909961800001)
• 17. Bin Li, Xuejun Zhang*,Yanjiao Ban, Xianfu Xu, Wenjun Su, Jingxian Chen, Shan Zhang, Feng Li, Zuopeng Liang, and Shengkai Zhou, "Construction of a Smart Supply Chain for Sand Factory Using the Edge-Computing-Based Deep Learning Algorithm," Scientific Programming, vol. 2022, Article ID 9607755, 15 pages, 2022 , (SCI收录Q3, 入藏号: WOS: 000869681500001, 影响因子: 1.672)
• 18. Huan Lao, Xuejun Zhang*, “Diagnose Alzheimer's Disease by Combining 3-D Discrete Wavelet Transform and 3-D Moment Invariants”, IET Image Processing, 16 (14) , pp.3948-3964, 2022, (SCI收录Q3, 入藏号: WOS:000837282500001, 影响因子: 1.96
• 19. Yanjiao Ban, Xuejun Zhang*, Huan Lao, "Diagnosis of Alzheimer's Disease Using Structure Highlighting Key Slice Stacking and Transfer Learning", Medical Physics, 2022; 49 (9):5855–5869, （SCI收录Q2, 影响因子: 4.506, 入藏号WOS:000838138400001）
• 20. Huan Lao and Xuejun Zhang*, "Regression and Classification of Alzheimer's Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image," IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 3, pp.1103-1115, 2022. （SCI收录Q1, 影响因子: 7.021, 中科院Top期刊, 入藏号WOS:000766665300021）
• 21. 许先富，莫琳，张学军*，刘小菁，基于ZYNQ的激光通信图像高速传输系统设计与实现，激光杂志，网络首发： 2022-04-20
• 22. Chan Liang, Huan Lao, Tao Wei, Xuejun Zhang*, "Alzheimer’s Disease Classification from Hippocampal Atrophy based on PCANet-BLS", Multimedia Tools and Applications, 81(8), 11187–11203, 2022.（SCI收录Q2, 影响因子: 2.577, 入藏号: WOS:000757168400002）
• 23. Zhaohui Bu, Xuejun Zhang*, Jianxiang Lu, Huan Lao, Chan Liang, Xianfu Xu, Yini Wei and Hongjie Zeng. Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets. MCB Molecular and Cellular Biomechanics, 19(1), 17–28, 2022（EI收录号: 20220711614381）
• 24. 韦依妮，张学军，孔德宇，曾泓杰，许先富，虚拟注射仿真系统设计与实现，信息技术与信息化， 2021, (07): 61-64
• 25. 袁梅，汪鹏程，张学军，超声波测距的双相位检测方法，电子测量技术，2021
• 26. 覃剑，邓元彪，梁志新，胡家绿，张学军，基于物联网控制的智能电磁炉设计，计算机科学与应用 Vol.11 No.11, November 18 2021
• 27. 李坚平, 谢敏, 张学军. 基于Android程序的声控机器人设计[J]. 计算机科学与应用, 2021, 11(7): 1869-1874.
• 28. 张学军，图像编程仿真的实验教学，教育学研究, vol.18, p.216, 2021
• 29. Huan Lao, Xuejun Zhang*, Yanyan Tang, Chan Liang, Alzheimer’s disease diagnosis based on the visual attention model and equal-distance ring shape context features, IET Image Process, 15 (10), pp.2351-2362, 2021. (SCI收录Q3, 入藏号: WOS:000636851400001, 影响因子: 2.373)
• 30. Xuejun Zhang, Huan Lao, Dongbo Wu, Chan Liang, Binmei Liang, Liangdi Ma, Fuzzy C-means measurement of mass base on image features, Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4431-4438, 2021. (SCI收录Q3, 影响因子: 1.85, 入藏号: WOS: 000709679300022, IDS 号: WK4EC)
• 31. Liang Mu, Tao Wei, Yuyu Tao, Chang Liang, Xuejun Zhang*, Design of Medical Image Hardware Acceleration Platform by SDSoC for ZYNQ SoC, Journal of Image and Graphics, Vol. 8, No. 4, 8(4):98-106, December 2020.
• 32. Xuejun Zhang, “Preface”, ACM International Conference Proceeding Series (JA), Proceedings of 2020 5th International Conference on Biomedical Signal and Image Processing, Pages: v, 2020, ACM ISBN 978-1-4503-8776-7, EI收录号: 20204409414084.
• 33. 韦涛, 李璧江, 穆亮, 梁婵, 张学军*，基于深度学习的非小细胞肺癌耐药性研究，计算机科学与应用,2020, 10(10): 1853-1862. DOI: 10.12677/csa.2020.1010195
• 34. 李璧江，张学军*，韦涛，黄菊，韦依尼，孙映华，基于虚拟现实的腹部手术仿真系统研究，医疗卫生装备，2020年08期，第19-24页
• 35. Qian Bian, Xuejun Zhang*, Zhenduo Wang, Mujun Liu, Bijiang Li, Dongbo Wu and Gang Liu, Virtual surgery system for liver tumor resection, Journal of Intelligent and Fuzzy Systems, Vol.38(1), pp.263-276, 2020. (SCI收录Q3, 影响因子: 1.637, 入藏号: WOS:000506856200028, IDS 号: KC0DF)  
• 36. 黄慧宁, 张学军*, 黄菊, 梁婵, 孙映华, 基于深度学习YOLOv2 算法的钢材压印字符识别研究，计算机科学与应用, 10(1): 126-135, 2020. DOI: 10.12677/csa.2020.101014
• 37. Xuejun Zhang, Xiaomin Tan, XinGao, Dongbo Wu, Xiangrong Zhou, Hiroshi Fujita, Non-rigid registration of multi-phase liver CT data using fully automated landmark detection and TPS deformation, Cluster Computing- The Journal of Networks, Software Tools and Applications, 22(6), pp.15305-15319, 2019, (SCI收录Q1, 影响因子: 3.458, 入藏号: WOS:000501745700222, IDS 号: JU5WA)
• 38. 杨倩梅，张学军，宁小霞. 基于三维卷积神经网络的肝脏静脉血管的分割［J］．广西大学学报 (自然科学版)，2019，44( 5) : 1252-1260.
• 39. Xuejun Zhang, Bijiang Li, Dongbo Wu, A web based 3D model construction tool for abdominal organs segmentation, Basic & Clinical Pharmacology & Toxicology, vol.124(2) p.26, 2018. (SCI收录Q2, 影响因子: 2.659, 入藏号: WOS:000452533800042, IDS 号: HD4YF)
• 40. Xuejun Zhang, Xiangrong Zhou, Takeshi Hara and Hiroshi Fujita, Non-Invasive Assessment of Hepatic Fibrosis by Elastic Measurement of Liver Using Magnetic Resonance Tagging Images, Applied Sciences, 2018, 8(3), 437; doi:10.3390/app8030437 (online publication SCI收录Q2, 影响因子: 2.217, 入藏号: WOS:000428369400120, IDS 号: GA5JI)
• 41. Yonghua Zhu, Xuejun Zhang*, Rongyao Hu, Guoqiu Wen, Adaptive Structure Learning for Low-rank Supervised Feature Selection, Pattern Recognition Letters, Vol. 109: 89-96, 2018.（SCI收录Q2, 影响因子: 1.99, 入藏号: WOS:000434380800012, IDS号: GI4ZV）
• 42. 欧阳淦鑫，张学军*(通信作者)，吴东波，基于医学图像纹理特征量优化的肝纤维化分级，计算机科学与应用，Vol.8 No.7, DOI:10.12677/CSA.2018.87121, 2018
• 43. 欧阳淦鑫，张学军*(通信作者)，微电网并网模拟系统研究，计算机技术与教育[J]，2018, (09):11-15.
• 44. Yonghua Zhu, Xuejun Zhang*, Wei Zheng, Rongyao Hu, Self-representation and PCA embedding for unsupervised feature selection, World Wide Web, Vol. 21(6): 1675-1688, 2018. (SCI收录, 影响因子: 1.4；入藏号: WOS:000449485200014, IDS 号: GZ5RS) Research Interest Score: 10.3, Citations: 12.
• 45. Yonghua Zhu, Xuejun Zhang*, Guoqiu Wen, Wei he, Debo Cheng, "Double sparse-representation feature selection algorithm for classification", Multimedia Tools and Applications, 76(16): 17525-17539, 2017. （SCI收录Q2, 影响因子: 1.54, 入藏号: WOS:000405528500036, IDS号: FA6BO）
• 46. 张学军，胡中华，袁培，黄达明，人工神经网络的训练方式对乳癌识别效果的影响，计算机技术与教育学报vol. 5(2), pp.12-16, 2017
• 47. 张学军，付饶，宁琪琦，刘方驿，黎桂荣,基于虚拟现实技术的肝脏模拟手术研究，计算机技术与教育学报 vol. 5(1), pp.37-42, 2017
• 48. 张学军，王月,邓瑾雯, 刘慕俊,基于人体骨骼的人物识别系统，计算机技术与教育学报vol. 4(1), pp.77-82, 2016
• 49. XianhuiZeng, Jinwen Deng, Mujun Liu, Yue Wang,Xuejun Zhang*, “A human identity recognition system based on Kinect skeletal tracking and ANN classifier”, Advances in Intelligent Systems Research, vol. 133, pp. 244-247, 2016.
• 50. VinayDuddalwar, Zhang Xuejun, Darryl Hwang, Steven Cen, Felix Yap, ChidubemUgwueze, Andre Luis De Castro Abreu, Monish Aron, Mihir Desai, Inderbir Gill, “Differentiation between clear cell renal cell carcinomas and oncocytomas using Texture Analysis of CT images”, The Journal of Urology, Volume 195, Issue 4, Supplement, April 2016, Page e305. DOI: 10.1016/j.juro.2016.02.1004. ISSN: 0022-5347,（SCI收录Q1,影响因子: 5.38, 入藏号: WOS: 000375538600011, IDS 号: DL3MT）
• 51. Felix Yap, Darryl Hwang, Steven Cen, Zhang Xuejun, Andre Luis de Castro Abreu, Mihir Desai, Monish Aron, Inderbir Gill, Vinay Duddalwar, “THE SHAPELY RENAL MASS: CONTOUR EVALUATION OF RENAL CELL CARCINOMA”, The Journal of Urology, Volume 195, Issue 4, Supplement, April 2016, Page e204, DOI: 10.1016/j.juro.2016.02.2751. ISSN: 0022-5347, （SCI收录Q1,影响因子: 5.38, 入藏号: WOS: 000375278600458 IDS 号: DK9VB）
• 52. 张学军, 瞿祥和, 雷锦添, 毕红梅, 刘天鹏, 基于图像处理的物体质量与软硬度的测量, 广西大学学报:自然科学版, Vol. 41, No. 2, pp. 541–553, 2016.
• 53. Ximing Wang, Brent J Liu, Clarisa Martinez, Zhang Xuejun, Carolee J Winstein, " Development of a novel imaging informatics-based system with an intelligent workflow engine (IWEIS) to support imaging-based clinical trials", Computers in Biology and Medicine, Volume 69, pp. 261–269, 2016. (EI: 20151500738825, SCI收录, 影响因子: 1.240, 入藏号: WOS:000371188400028 IDS 号: DF2QH)
• 54. Zhang Xuejun, XinGao, Brent J. Liu, Wen Yan, Long Liling, Huang Yuhong, and Hiroshi Fujita, "Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?", Computerized Medical Imaging and Graphics, Volume 46, pp. 227–236, 2015. (SCI收录Q1, 影响因子: 7.422, 入藏号: WOS:000367632700015 IDS 号: DA2NJ), Research Interest Score: 23.1, Citations: 45.
• 55. Zhang Xuejun, Bin Zhou, Kevin Ma, Xianghe Qu, Xiaomin Tan, XinGao, Wen Yan, Long Liling, and Hiroshi Fujita, Selection of optimal shape features for staging Hepatic fibrosis on CT image, Journal of Medical Imaging and Health Informatics, Vol.5, No.8, pp.1926-1930, 2015. (SCI收录, 影响因子: 0.503, 入藏号: WOS:000368564700058 IDS 号: DB5OY)
• 56. Mingjian Su, Zhang Xuejun*, Ximin Wang, Brent J Liu, XinGao, Zuojun Zhang, and Bin Zhou, "Vessel extraction on ocular fundus images by using Gabor filter bank",计算机辅助绘图设计与制造(CADDM), Volume 25, Number 1, pp. 28-36, March 2015.
• 57. Xiaomin Tan, Jintian Lei, Hongmei Bi, Tianpeng Liu, Zhang Xuejun* and Ximing Wang, A novel method for Measuring Mass by Image Processing, Advances in Computer Science Research, Atlantis Press, pp. 888-893, 2015. ( ISTP收录, 入藏号: WOS:000359820600170 IDS 号: BD3KZ)
• 58. Hannu Huhdanpaa, Darryl Hwang, Steven Cen, Brian Quinn, Megha Nayyar, Zhang Xuejun, Frank Chen, Bhushan Desai, Gangning Liang, Inderbir Gill, VinayDuddalwar, “CT prediction of the Fuhrman grade of clear cell renal cell carcinoma (RCC): towards the development of computer-assisted diagnostic method”, Abdominal Imaging, Vol. 40, pp. 3168–3174, 2015. (SCI收录, 影响因子: 1.630, 入藏号: WOS:000363952000027 IDS 号: CV0PD)
• 59. Zhang Xuejun, YuKun Huang, Tian Liang, JiaXiong Shi, XinGao, ZuoJun Zhang, " Selection of optimal parameters in SVM classifier: An example study on texture analysis of hepatic fibrosis", WIT Transactions on Computational Intelligence and Industrial Engineering,Vol. 99, pp.473-480, 2014.12 (EI收录)
• 60. Yihe Zhang, Zhang Xuejun*, Zuojun Zhang, Dongbo Wu, Bin Zhou, " Registration of hepatic CT images based on thin plate spline (TPS) deformation using automatically searching landmarks on binary maps ", WIT Transactions on Biomedicine and Health, Vol. 18, pp.471-477, 2014.3 (EI收录: 20143218035731)
• 61. Zhang Xuejun, YufanZeng, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, "Quantitative Measurement of Fibrosis by Texture Features", Transactions of Japanese Society for Medical and Biological Engineering, Vol. 51 (S.), P.R-34, 2013.9.6
• 62. Zhang Xuejun, Satoshi Goshima, Xiangrong Zhou, Takeshi Hara, massayukikanematsu, Hiroshi Fujita, "Quantitative Measurement of Fibrosis by Morphological Features", Transactions of Japanese Society for Medical and Biological Engineering, Vol. 51 (S.), P. M-86, 2013.9.6
• 63. 小林龍徳, 古川貴裕, 五島聡, 張学軍, 原武史, 周向栄, 村松千左子, 近藤浩史, 兼松雅之, 藤田広志, "EOB造影MRI画像における肝臓輪郭線の自動抽出法の開発", 医用画像情報学会雑誌, Vol.30(3), p.57-62, 2013.8.28
• 64. Zuojun Zhang, Zhang Xuejun*, Dongpo Wu, Yihe Zhang, Jinwen Deng, "Automatic extraction of primary malignant liver tumor for surgical liver resection", Journal of Investigative Medicine, Vol.61, No.4, P.17, 2013 (SCI收录151RJ, WOS:000319477600056, 影响因子：2.0).
• 65. ZengYufan, Zhang Xuejun*, Wen Yan, Long Liling, Huang Yukun, Shi Jiaxiong, Liang Tian, and Huang Yuhong, “Computer Aided Interpretation of Fibrous Texture in Hepatic Magnetic Resonance Images”, Advanced Materials Research: Biomaterial and Bioengineering, Vol.647, No. 2013, pp.325-330, 2013. EI收录(收录号：20130615987958).
• 66. Qihai Zhou, Zhang Xuejun,"Special Issue on Current Research in Computer Science and Information Technology: Guest Editorial", Journal of Computers, v 7, n 7, p 1543-1544, 2012（EI收录：20123215307826）
• 67. 内山良一，張学軍，藤田広志：脳と肝臓のMR画像のためのコンピュータ支援診断, 画像ラボ, 23 (2), 41-46, 2012.
• 68. 林浩，覃玉荣，张学军, 计算机辅助实验教学在《微波技术与天线》课程的应用, Scientific Journal of Education Technology (SJET), Vol.2, No.5, PP.22-26, 2012
• 69. S. Goshima, M. Kanematsu, T. Kobayashi, T. Furukawa, X. Zhang, H. Fujita, H. Watanabe, H. Kondo, N. Moriyama, and K. T. Bae: Staging hepatic fibrosis: Computer-aided analysis of hepatic contours on gadolinium ethoxybenzyldiethylenetriaminepentaacetic acid-enhanced hepatocyte-phase magnetic resonance imaging, Hepatology, 55(1), Letter, 328-329, 2012(SCI收录867WS, 1区，影响因子：10.885).
• 70. Nobuo Kako, Xuejun Zhang, Wenguang Li, Masayuki Kanematsu, Hiroshi Fujita, and Takeshi Hara, "Artificial Neural Network Method for Differentiation of Focal Liver Disease in MR Imaging"(Abstr), Radiology, Vol.225 (P):646, 2002. (SCI收录Q1, 影响因子: 19.7, 入藏号: WOS:000178825102083, IDS 号: 608BK)
• 71. Takeshi Hara, Xuejun Zhang, Hiroshi Fujita, Norimitsu Shinohara, Yoshitaka Ooe, and Tokiko Endo, "Artificial Neural Network Method for Detecting Clustered Microcalcifications in Masses on Mammograms"(Abstr)., Radiology, Vol.225 (P):184, 2002. (SCI收录Q1, 影响因子: 19.7, 入藏号: WOS:000178825100305, IDS 号: 608BK)
• 国内外学术会议发表的论文：
• 72. Xuejun Zhang, The Role of Online Experimental Simulation System for Theory Teaching Classes, the 5th World Congress of Education (WCE-2023), Hokkaido, Japan
• 73. Xuejun Zhang, Zhaohui Bu, Feng Li, Zeping Fan, Research on Zhuang's speech to text and translation cloud platform, the 6th IEEE International Conference on Knowledge Innovation and Invention 2023, Aug. 11-13, Hokkaido, Japan (获得最佳会议论文奖)
• 74. Shan Zhang, Bohui Liang, Xuejun Zhang*, Bin Li, Liying Zhang, An Investigation of Segment Anything Model (SAM) on Uterus Segmentation, Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing, pp. 39–41, July 2023, https://doi.org/10.1145/3613307.3613315
• 75. Yehui Liu, Aobo Xu, Hui Zeng, Juneng Huang, Mingxian Liang, Wei Luo, Zhao Zeng, Xuejun Zhang*, Edge Computing-Based Cloud Platform for Snakebite Assisted Diagnosis, Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing, pp.18–22, July 2023, https://doi.org/10.1145/3613307.3613311
• 76. Xuejun Zhang, Yehui Liu, Fuming Ya, Junpeng Qiao, Zihao Lu and Zhaohui Bu, Construction of an edge computing based innovative cloud platform for simulation teaching, 第二届教育创新与多媒体技术国际学术会议(EIMT 2023), 中国南昌, C. F. Peng et al. (Eds.): EIMT 2023, AHSSEH 8, pp. 362–368,2023年3月17-19日
• 77. Xuejun Zhang， 新一代AI医学诊疗系统及设备的研发，Proceedings of 22nd LSACJ 2022―ILS2022, international Conference on lnterdisciplinary Life Sciences, 日本，东京，pp.10-13, 2022.
• 78. Shan Zhang, Weiyan Chen, Changjian Zhu, A Spectral Analysis of Light Field Signal for Plenoptic Sampling and Rendering, 2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022, 2022, EI收录号: 20225013233807
• 79. Deyu Kong, Xuejun Zhang*, Yini Wei, Xianfu Xu, Hongjie Zeng and Bin Li, Human Recognition Using Joint Coordinate Images (JCIs) with Convolutional Neural Network, Journal of Physics: Conference Series 2095 (2021) 012056, EI收录号: 20215111372833, doi:10.1088/1742-6596/2095/1/012056, https://iopscience.iop.org/article/10.1088/1742-6596/2095/1/012056
• 80. Hongjie Zeng, Xuejun Zhang*, Jingxian Chen, Yini Wei, Deyu Kong, and Xianfu Xu, A Liver Electrosurgery Simulator Developed by Unity Engine, 6th International Conference on Biomedical Signal and Image Processing (ICBIP 2021), Aug 20-22, pp 14–19, 2021, Suzhou, China. (获得最佳发表奖) , EI收录号: 20214711185894. https://doi.org/10.1145/3484424.3484427
• 81. Xianfu Xu, Wenjun Su, Bin Li, Yini Wei, Deyu Kong, and Xuejun Zhang*, An FPGA-Based Hardware Accelerator for 2D Labeling, 6th International Conference on Biomedical Signal and Image Processing (ICBIP 2021), Aug 20-22,2021, pp.72–78, Suzhou, China. , EI收录号: 20214711185903. https://doi.org/10.1145/3484424.3484436
• 82. Bin Li, Jingxian Chen, Xianfu Xu, Yini Wei, Deyu Kong, and Xuejun Zhang*, A Design of ZYNQ-based Medical Image Edge Detection Accelerator, 6th International Conference on Biomedical Signal and Image Processing (ICBIP 2021), Pages 59–64, Aug 20-22, 2021, Suzhou, China, EI收录号: 20214711185901. https://doi.org/10.1145/3484424.3484434
• 83. Xuejun Zhang, Chan Liang, Huan Lao, Binmei Liang, Dongbo Wu, Li Lin, Yinghua Sun, Online System for Staging Hepatic Fibrosis, Proceedings of SPIE - The International Society for Optical Engineering, v 11792, 2021, International Forum on Medical Imaging in Asia 2021, Jan 24-26, 2021, Taipei, China. EI收录号: 20212310451387.
• 84. Tao Wei, Bijiang Li, Chan Liang, Xiaobo Zhang, Xuejun Zhang*,“Drug Resistance Prediction of Non-small Cell Lung Cancer Based on Deep Learning”, 2020 IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, pp. 283-286 , November 6, 2020 , Chongqing, EI收录号: 20210309780152.
• 85. Xuejun Zhang, Ju Huang, Huining Huang, Bijiang Li, Binmei Liang, Dongbo Wuand Yinghua Sun, A web based computer aided diagnosis system on liver disease, SPIE Proceedings, International Workshop on Advanced Image Technology (IWAIT) 2020, Volume: 11515, Part number: 1 of 1, Jan 5-6, 2020, Yogyakarta, Indonesia. EI收录号: 20202508855437
• 86. Bijiang Li, Xuejun Zhang*, Chan Liang, Tao Wei, Deep Learning: Excellent Method at Surface Defect Detection of Industrial Products, Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, pp. 712-716, October 11-13, 2019, Chongqing, China, EI收录号: 20200908241085
• 87. Xiaoxia Ning, Zhang Xuejun*, Qianmei Yang, A Web-Based Platform for Segmentation of Abdominal Organs on CT Images, IFIP Advances in Information and Communication Technology, v 538, p 412-420, 2018, Intelligent Information Processing IX, 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China. 2018.10, EI收录号: 20184406019620.
• 88. Qianmei Yang, Zhang Xuejun* and XiaoxiaNing, Hepatic vein segmentation based on three-dimensional convolutional neural network, Proceedings of the 2018 Asian Conference on Computer Aided Surgery, Shanghai, China. 2018.11
• 89. Zhang Xuejun, Mujun Liu, Jinwen Deng, Yue Wang, “Virtual surgery system for abdominal organs based on VR helmet”, International Workshop on Advanced Image Technology (IWAIT 2018), January 7-10, 2018 in Chiang Mai, Thailand. EI收录号:20182605363184, IEEE Xplore: May 2018
• 90. Yonghua Zhu, Zhang Xuejun*, Rongyao Hu, Guoqiu Wen: Robust Features Selection via Structure Learning and Multiple Subspace Learning, 8th IEEE International Conference on Big Knowledge (ICBK 2017), 2017:326-331. EI收录号: 20174304290619，获得Best Student Paper Awards.
• 91. Zhang Xuejun, Jin-wen DENG, HuaChEN, Wei WEI, Xiong NIE, Hua-guang HE and Ling M0, “Research on a practice-based teaching style based on CDIO engineering education mode-Taking a Teaching Reform on Electronic and Information Course Groups as an Example”, 2016 International Conference on Education, Management and Applied Social Science, Beijing, 2016.ISTP收录，入藏号: WOS:000406675600012，IDS 号: BI1PU
• 92. Yap Felix, Hwang Darryl, Cen Steven, Zhang Xuejun, Gill Inderbir, DuddalwarVinay, The Shapely Renal Mass: Contour Evaluation, 116th Annual Meeting of the ARRS, accepted as an electronic exhibit, Los Angeles, April 17-22, 2016.
• 93. Mingjian Su, Zhang Xuejun*, Brent Liu, Kening Su and Ryan Louie, "A handheld Computer Aided Diagnosis system and simulated analysis", Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890P (March 25, 2016); 20162702551912. 获得Robert F. Wagner All Conference Best Student Paper Awards.
• 94. Zhang Xuejun, Ryan Louie, Brent J. Liu, XinGao, Xiaomin Tan, XiangheQu, Liling Long, " Comparing the role of shape and texture on staging hepatic fibrosis from medical imaging ", Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890W (March 25, 2016); 20162702551919.
• 95. Kevin Ma, Joseph Liu, Zhang Xuejun, LilyanaAmezcua, Mark Shiroishi, Alex Lerner, Brent Liu, "Lesion registration for longitudinal disease tracking in an imaging informatics-based multiple sclerosis eFolder ", Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890F (March 25, 2016); 20162702551903.
• 96. Zhang Xuejun, Bin Zhou; Brent Liu, X Tan; X Qu, L Long, "Quantitative staging of fibrosis by the optimized features of liver: shape vs texture", 101st Radiological Society of North America Scientific Assembly and Annual Meeting, Radiological Society of North America (RSNA2015), (accepted as scientific presentation), Chicago, December 2015.
• 97. Kevin Ma, Zhang Xuejun, LilyanaAmezcua, Mark Shiroishi, Alex Lerner, Brent Liu, " Lesion Registration for longitudinal disease tracking using Thin-Plate Splines deformation for Multiple Sclerosis eFolder ", 101st Radiological Society of North America Scientific Assembly and Annual Meeting, Radiological Society of North America (RSNA2015) , (accepted as education exhibit), Chicago, December 2015.
• 98. Zhang Xuejun, Y. Zeng; H. Fujita, y. wen, L. Long, Y. Huang, "Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging? ", Radiological Society of North America Scientific Assembly and Annual Meeting Program, Radiological Society of North America (RSNA), SSG08-03(scientific presentation), 2013.12
• 99. Zhang Xuejun, Hiroshi Fujita, Satoshi Goshima and Masayuki Kanematsu, "Quantitative Staging the Hepatic Fibrosis: Computer-aided Diagnosis by Shape, Texture, Volume, and Elasticity Analysis", Proceeding of 4th Annual Symposia of Hepatitis Virus (SHV-2013), p. 106, 2013.7.30
• 100. Zhang Xuejun, Jinwen Deng. "The role of Smith chart in teaching the course of Microwave Technology and Antenna". 2013 International Conference on Education Technology and Management Science (ICETMS), Atlantis Press, ISSN:1951-6851, pp.782-785, 2013 (ISTP收录BIC47：WOS:000327396400212)
• 101. Zhang Xuejun,YufanZeng, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, "Quantitative measurement of fibrosis by texture features", IEEE Engineering in Medicine and Biology Society (EMBC'13), Osaka, Japan , July 3-7, 2013.
• 102. Zhang Xuejun, Satoshi Goshima, Xiangrong Zhou, Takeshi Hara, Masayuki kanematsu, Hiroshi Fujita, "Quantitative measurement of fibrosis by morphological features", IEEE Engineering in Medicine and Biology Society (EMBC'13), Osaka, Japan , July 3-7, 2013.