陈建刚

2007-2011     香港理工大学工程学院              博士 (导师：Prof. Zhongqing Su)

2003-2006     西安交通大学生命学院              硕士 (导师：王珏教授)

1999-2003     南昌航空大学信息工程学院       学士          

2023-至今        华东师范大学                            研究员，硕导

2020-2023        华东师范大学                            副研究员

2019                 牛津大学高等研究院(苏州)       高级研究员 (Lab of Prof.Ronald Roy)，超声人工智能实验室主任

2017-2018        美童智能科技                           首席科学家

2013-2017        飞利浦亚洲研究院                    高级科学家

2011-2012        美国哥伦比亚大学                    博士后研究员 (Lab of Prof.Elisa Konofagou)

2006-2007        香港理工大学                           研究助理 (Lab of Prof.Yongping Zheng)

教育部"春晖计划"学者，四川省医学科技奖获得者。研究方向主要聚焦于医学超声人工智能，可穿戴医疗设备等。已发表国际学术论文40多篇，研究成果发表在IEEE Transactions on Medical Imaging(IF:10.048)、 Frontiers in Oncology(IF: 6.244)、European Radiology(IF:5.3)、Computer Methods and Programs in Biomedicine(IF: 5.428)等国际期刊，已获授权的国内外发明专利10多项，参编《新型冠状病毒肺炎影像诊断与人工智能》一书。近两年指导研究生和本科生30多人参加互联网+、挑战杯、创新创业大赛、全国高校计算机能力挑战赛等多项赛事，获得2021年度国家大学生创新创业训练计划优秀项目，2020年全国高校计算机能力挑战赛一等奖和二等奖等多个奖项。首创无线手持三维超声，曾获慈溪上林英才和宁波泛3315创业人才称号及资金支持。

亚欧儿童新生儿重症超声研究会 副秘书长

大灣區教育融合發展智庫 特邀研究員

国际期刊Sensors特刊 Associated Editor

中国声学学会生物医学超声工程分会 委员

中国医学装备协会超声装备技术分会质量标准专委会 委员

上海市第十人民医院超声诊疗工程技术研究中心 兼职教授

上海中医药大学 校外研究生导师

西藏大学  校外研究生导师

西交利物浦大学   校外导师 

西安交通大学医电校友会 副会长

详情请前往：智慧超声研究中心网站（ultrasound.ecnu.edu.cn)

本实验室研究方向包括医学超声设备硬件电路设计、嵌入式智能化算法开发、无线传输（蓝牙、无线）系统开发、医学影像处理与AI分析，欢迎有志于医疗器械开发、医学影像分析的同学报考！

详情请前往：智慧超声研究中心网站（ultrasound.ecnu.edu.cn)

研究方向：

1.可穿戴柔性超声系统开发

  结合最新的柔性超声传感器技术，针对无创血压连续监测、无创颅内压连续监测、功能性经颅多普勒监测等领域，开发可穿戴超声设备，重点集中于可穿戴硬件系统、chip-level算法、信号处理与分析算法开发。

（1）可穿戴超声硬件系统开发

  采用高集成度超声专用电路、多层PCB设计、柔性PCB（即fPCB）、先进的电池管理系统（电路、算法），将传统大型超声设备电路缩小至手掌大小，实现超声系统的小型化和可穿戴。

主控电路：

4层电路板PCB布局：

电路板实物：

（2）柔性超声设计

根据具体应用场景，设计高贴合度、高透气性的柔性超声传感阵列

2.急救重症超声

  针对急救重症领域常见疾病，开发超声自动化、智能化算法，如气胸、肺炎、休克、心脏骤停、颅内高压、肝脾破裂、内出血等。 

（1）新冠肺炎超声AI智能辅助诊断

（2）下腔静脉超声自动识别与动态测量

3.妇产超声  

  针对胎儿发育、早产，开发超声自动识别、分割和大数据分析技术，如胎儿肺部、脑部发育，早产预测等。

  项目1：无创胎儿肺部成熟度智能评估技术。目前，胎儿肺部成熟度评估的唯一方法是羊水穿刺，有创风险高。本项目拟开发基于超声AI的无创胎肺成熟度评估技术。

胎儿心脏与肺脏智能分割

4.专科手持超声系统开发

  开发专科化手持超声智能辅助诊断系统，解决临床医生不具备专业超声图像解读能力的瓶颈，实现手持超声人人可用，人人会用。

4. 《工程伦理》

3. 大学生创新创业大赛项目指导

2. 大学生挑战杯项目指导

1. “互联网+”项目指导 

详情请前往：智慧超声研究中心网站（ultrasound.ecnu.edu.cn)

14.浙江省“尖兵”“领雁”研发攻关计划项目. 2024. 基于人工智能ARDS肺循环精准化诊治新技术研究. 250万. 子课题负责人.

13.吉林省科技发展计划项目. 2023. 基于柔性穿戴式TCD的无创颅脑损伤智能监护系统研发及临床应用. 50万. 负责人.

12.西藏自治区2023科技厅中央引导地方科研项目, 2023, 基于人工智能的超声高原肺水肿辅助诊断与评估方法及临床应用. 55万. 负责人.

11.糖尿病足微环境智能感知及柔性声学探头与微针贴片复合系统调控末梢神经的作用及机制, 2022-01-01 至 2024-12-31, 来源: 国家自然科学基金委员会, 专项项目, 82151318，经费: 100万, 主要负责人.

10.深度学习技术支持下的煤矿工人尘肺患者合并肺癌影像学诊断模型的建立, 2020-01-01 至 2023-12-31, 来源: 国家自然科学基金委员会, 地区科学基金项目, 81960577, 经费: 35万, 主要负责人.

9.基于人工智能的超声ARDS辅助诊断与评估方法及临床应用. 2021. 来源:上海市科委. 经费: 30万. 主要负责人.  

8.柔性超声传感阵列贴片研制. 2021. 来源: 上海理工大学. 经费: 18万. 主持.

7.汗液监测系统关键技术开发. 2021. 来源:上海交通大学. 经费: 18万. 主持. 

6.智能腕表生命体征参数分析算法研发. 2121. 来源:企业. 经费: 51万. 主持.  

5.超声多普勒数据智能分析. 2021. 来源:医院. 经费: 17万. 主持.  

4.基于人工智能超声算法的颅脑外伤伤情评估. 2021. 来源:医院. 经费: 20万. 主持.

3.超声图像目标自动识别算法. 2021. 来源:企业. 2021. 经费: 14.3万. 主持.

2.训练汗液传感芯片信号处理模块开发与腕表集成测试. 2021. 来源：企业. 经费: 30万. 主持.

1.基于自然语言处理的医疗文本信息智能提取软件模块开发和集成. 2020. 来源:企业. 经费: 10万. 主持.

详情请前往：智慧超声研究中心网站（ultrasound.ecnu.edu.cn)

详情请前往：智慧超声研究中心网站（ultrasound.ecnu.edu.cn)  

期刊论文（*通讯作者 #共同第一）

2024

48.  W.Y. Xing, C. He, Y.B. Ma, Y.M. Liu, Q.Li, W.F. Li, J. Chen*, D.A. Ta. 2024. Combining quantitative and qualitative analysis for scoring pleural line in lung ultrasound. Physics in Medicine and Biology. Accepted.(IF: 4.174, JCR: 2区)

47. Y.M. Liu, Q.M. Huang, X.X. Han, T.T. Liang, Z.F Zhang, X. Lu, B. Dong, J.J. Yuan, Y. Wang, M.H. Hu, J.F. Wang, A. Stefanidis, J.L. Su,  J. Chen*, Q.L. Li, Y.Q. Zhang. 2024. Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning. Journal of Imaging Informatics in Medicine. (IF: 4.4, JCR: 1区) 2024-Liu-JIIM.pdf

46.  X.H. Liu, Y.Y. Miao, L. Qian, Z.T. Shi, Y. Wang, J.L. Su, C. Chang, J.Y. Chen, J. Chen* and J.W. Li. 2024. Deep Learning Radiomics-Based Ultrasound Analysis Facilitates Precise Distinction between Parotid Pleomorphic Adenoma and Warthin Tumor. Frontiers in Oncology. Accepted. (IF:4.7, JCR:2区)

2023

45.  J.W. Li, D.L. Sheng, J. Chen#, C. You, S. Liu, H.X. Xu, C. Chang. Artificial Intelligence in Breast Imaging: Potentials and Challenges. 2023. Physics in Medicine and Biology. 68 23TR01.  (IF: 4.174, JCR: 2区) 2023-Li-PMB.pdf

44. Y.M. Liu, X.X. Han, T.T. Liang, B. Dong, J.J. Yuan, M.H. Hu, Q.H. Liu, J. Chen*, Q.L. Li, Y.Q. Zhang. 2023. EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography. Biomedical Signal Processing and Control. 105280. (IF: 5.1, JCR:2 区）2023-Liu-BSPC.pdf

43. Y.M. Liu, X.X. Han, T.T. Liang, B. Dong, J. Yuan, M. Hu, Q. Liu, J. Chen*, Q. Li, Y.Q. Zhang. 2023. Intelligent diagnosis of Atrial septal defect in children using Echocardiography with deep learning. Virtual Reality & Intelligent Hardware. Accepted. 

42. Z. Shi, Y.Ma, X.Ma, A.Jin, J.Zhou, N.Li, D.Sheng, C.Chang, J.Chen*, J. Li. 2023. Differentiation between phyllodes tumor and fibroadenoma at breast ultrasound: deep learning model outperforms ultrasound physicians. Sensors. 5099 (IF: 3.847, JCR:2区) 2023-Shi-Sensors.pdf 

41. J. Chen, S. Hou, L. Feng, B. Lu, M.L. Yang, F. Sun, Q.L. Li, T. Tan, X. Deng and G.F. Wei. 2023. Ultrasonic Evaluation of Fetal Lung Development Using deep learning with Graph. Displays. 102451. (IF: 3.074, JCR:2区)  Chen et al.-2023-Displays.pdf

40. X. Zhang, L. Zhang, T. Gong, Z. Wang, K. Guo, J. Li, Y Chen, J. Zhang, B. Ye, J. Ding, J. Zhu, F. Liu, D. Hu, J. Chen, C. Zhou, D. Zou. 2023. A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images. Journal of Applied Clinical Medical Physics. 24:e14023.

39. 范浩浩,姜倩倩,邢文宇,陈建刚,何超,李文放.  基于人工智能的自动肺部超声评分对 ARDS 患者血管外肺水评估的价值.中国急救医学.  2023, 6:24-29. 2023-范浩浩-急救医学.pdf

38. 刘贻曼,张志芳,沈蓉,陈丽君,胡孟晗,陈建刚,李庆利,张玉奇. 迷走锁骨下动脉的超声心动图与CTA术前诊断价值及术后随访分析[J]. 临床超声医学杂志,2023,25(02):95-100.2023-刘贻曼-临床超声医学.pdf

37. 刘贻曼,韩啸翔,张玉奇,张志芳,沈蓉,董斌,袁加俊,胡孟晗,李庆利,陈建刚*. 深度学习在儿童心脏超声标准切面自动智能识别中的应用[J].海军军医大学学报，已录用，2023.

36. 王卓然,张贤达,曹羽成,张玲,龚婷婷,马烨波,段晓倩,郭康丽,李军,陈媛,张健涛,叶本功,丁进,朱建伟,刘枫,胡端敏,周春华,邹多武,李庆利,陈建刚*. 基于影像组学和机器学习的胃肠道间质瘤与非胃肠道间质瘤鉴别. 海军军医大学学报，2023. 已接收.

35. 刘贻曼，张玉奇，张志芳，沈蓉，陈丽君，吴兰平，李庆利，陈建刚，胡孟晗. 2023. 儿童先天性右心房畸形的超声心动图诊断价值及误诊分析. 医学影像杂志. 33(2):220-224.2023-刘贻曼-医学影像学.pdf

2022

34. J Chen, M Shen, S Hou, X. Duan, Y. Cao, W. Qin, Q. Niu, Q. Li, Y. Zhang and Y. Wang. 2022. Intelligent Interpretation of Four Lung Ultrasonographic Features with Split Attention and Mish Function based Resnet. Biomedical Signal Processing & Control. 81:104228. (IF: 5.076，JCR：二区) Chen et al. 2022-BSPC.pdf

33. W. Xing, G. Li, C. He, Q. Huang, X. Cui, Q. Li, W. Li, J. Chen* and D. Ta. 2022. Automatic Detection of A-line in Lung Ultrasound Images Using Deep Learning and Image Processing. Medical Physics. Accepted. (IF: 4.506，JCR：二区) 2022-Xing-MP.pdf

32. Z. Zhao, S. Hou, S. Li, D. Sheng, Q. Liu, C. Chang, J. Chen*, J. Li. 2022. Application of Deep Learning to Reduce the Rate of Malignancy Among BI-RADS 4A Breast Lesions Based on Ultrasonography. Ultrasound in Medicine & Biology. 48(11):2267-2275. (IF: 3.694，JCR：一区) 2022-Zhao et al-UMB.pdf

31. W. Xing, W. He, X. Li, J. Chen, Y. Cao, W. Zhou, Q. Shen, X. Zhang and D. Ta. 2022. Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation. Computer Methods and Programs in Biomedicine. 221:106869. (IF: 5.428)

30. W. Zhang, S. Hou, Y. Chen, F. Mao, Y. Dong, J. Chen and W. Wang. Deep Learning for Approaching Hepatocellular Carcinoma Ultrasound Screening Dilemma: Identification of α-Fetoprotein-Negative Hepatocellular Carcinoma From Focal Liver Lesion Found in High-Risk Patients. Frontiers in Oncology. 26;12:862297. (IF: 6.244)

29. Q. Huang,Y. Lei, W. Xing, C. He, G. Wei, Z. Miao,Y. Hao, G. Li, Y. Wang, Q. Li, X. Li, W. Li and J. Chen*. 2022. Evaluation of pulmonary edema using ultrasound imaging in patients with covid-19 pneumonia based on a non-local channel attention resnet. Ultrasound in Medicine & Biology. S0301-5629(22)00039-4.  (IF: 3.694，JCR：一区) 2022-Huang-UMB.pdf

28. W. Xing, C. He, J. Li, W. Qin, M. Yang, G. Li, Q. Li, D. Ta, G. Wei, W. Li and J. Chen*. 2022. Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model. Biomedical Signal Processing and Control. 75:103561.(IF: 5.076，JCR：二区)2022-Xing-BPSC.pdf

27. 马烨波，邵杰，杨桓，黄麒铭，邢文宇，叶长青，王卓然，杨明雷，陈锴，李博，陈自强，陈建刚. 2022. 基于支持向量机的椎弓根螺钉钉道超声图像评估方法研究. 海军军医大学学报. 43(9):993-999. 2022-马烨波-海医大学报.pdf

26. 段晓倩，陈建刚，王茵，秦伟，曹羽成，马烨波，王卓然，魏高峰，沈梦君. 2022. 基于深度学习的四种肺部超声征象分类. 海军军医大学学报. 43(8):901-907.2022-段晓倩-海医大学报.pdf

25. 毛禹皓，李佳清，杨敬涵，张雅涵，马烨波，王卓然，秦伟，郭强，李庆利，魏高峰，陈建刚. 2022. 人体汗液生化微信号无创连续采集传输系统. 电子制作. 已接收.

2021

24. J. Xi#, J. Chen#, Z. Wang, D. Ta, B. Lu, X. Deng, X. Li and Q. Huang. 2021. Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism. Ultrasonic Imaging.  43(6) 308–319.  (IF: 2，JCR：三区) 2021-Xi-UI.pdf

23. Q. Wang, L. Sun, Y. Wang, M. Zhou, M. Hu, J. Chen, Y. Wen and Q. Li. 2021. Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks. IEEE Transactions On Medical Imaging. 40(1):218-227. (IF:10.048)

22. Q. Zhang. Y. Wang, S. Qiu, J. Chen, L. Sun, Q. Li. 2021. 3D-PulCNN: Pulmonary cancer classification from hyperspectral images using convolution combination unit based CNN. Journal of Biophotonics. 14( 12), e202100142. (IF: 3.207)

21. J. Li, Y. Cao, Z. Zhao, X. Duan, Z. Shi, C. Chang and J. Chen*. 2021. Prediction for pathological and immunohistochemical characteristics of triple-negative invasive breast carcinomas: The performance comparison between quantitative and qualitative sonographic feature analysis. European Radiology. 32:1590-1600. (IF: 5.3，二区) 2021-Li-ER.pdf

20. J. Chen, C. He, J. Yin, J. Li, W. Li and Q. Li. 2021. Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. doi: 10.1109/TUFFC.2021.3070696. (IF: 3.267，JCR：二区) Chen et al. 2021-IEEE.pdf

19. J. Yin, J. Li, Q. Huang, Y. Cao, Q. Duan, B. Lu, X. Deng, Q. Li and J. Chen*. 2021. Ultrasonographic Segmentation of Fetal Lung with Deep Learning. Journal of Biosciences and Medicines. 9:146-153.2021-Yin-JBM.pdf

18. J. Chen, J. Li, C. He, W. Li and Q. Li. 2021. Automated pleural line detection based on Radon transform using ultrasound. Ultrasonic imaging. 43(1):19-28. (IF: 2，JCR：三区) Chen et al. 2021-UI.pdf

17. 向桂齐阳; 陈贝宁; 林诗祺; 朱包良; 陈建刚*; 徐伟刚*. 减压性气泡多普勒评级. 中国职业医学, 2021, 48(04): 472-475.

Before 2021

16. Q. Zhang, L. Sun, J. Chen, M. Zhou, M. Hu, Y. Wen and Q. Li. 2020. Speeded up robust features based image mosaic method for large scale microscopic hyperspectral pathological imaging. Measurement Science and Technology. 32(2). (IF: 2.046)

15. J. Chen, J. Li, X. Ding, G. Wei, X. Wang and Q. Li. 2020. Automated ultrasound measurement of the inferior vena cava: an animal study. Ultrasonic Imaging. 42(3) 148-158.  (IF: 2，JCR：三区)Chen et al. 2020-UI.pdf

14. J. Chen, J. Li, X. Ding, C. Chang, X. Wang and D. Ta. 2018. Automated identification and localization of the inferior vena cava using ultrasound: An animal study. Ultrasonic Imaging. 40(4):232-244.  (IF: 2，JCR：三区)Chen et al. 2018-UI.pdf

13. P. Muleki-Seya, R. Guillermin, J. Guglielmi, J. Chen, T. Pourcher, E. Konofagou and E. Franceschini. 2016. High-Frequency Quantitative Ultrasound Spectroscopy of Excised Canine Livers and Mouse Tumors Using the Structure Factor Model. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 63(9):1335-1350. (IF: 2.7)

12. J. Chen, Y. Hou, F. Marquet and E. Konofagou. 2015. Radiation-force-based estimation of acoustic attenuation using Harmonic Motion Imaging. Physics in Medicine and Biology. 60:7449-7512.  (IF: 3.609)Chen et al.-2015-PMB.pdf

11. D. Shahmirzadi, Y. Hou, J. Chen and E. Konofagou. 2013. Ex vivo characterization of canine liver tissue viscoelasticity after high-intensity focused ultrasound ablation. Ultrasound in Medicine and Biology, 40(2):341-350. (IF: 2.998)

10. J. Chen and Z. Su. 2013. On ultrasound waves guided by bones with coupled soft tissues: A mechanism study and in vitro calibration. Ultrasonics, 54(5):1186-1196. (IF: 2.89)Chen et al. 2013-Ultrasonics-1.pdf

9. J. Chen, Z. Su, L. Cheng and D.A. Ta. 2013. Exploring and calibrating local curvature effect of cortical bone for quantitative ultrasound (QUS). Structural Engineering and Mechanics, 48(4): 501-518. (IF: 3.5)

8. J. Chen, Z. Su and L. Cheng. 2012. The medium coupling effect on propagation of guided waves in engineering structures and human bone phantoms, Coupled Systems Mechanics, An International Journal, 1(4):297-309.Chen et al. 2013-CSM.pdf

7. X.D. Qian, M. Cao,  J. Chen and Z. Su. 2012. A hybrid particle swarm optimization (PSO)-simplex algorithm for damage identification of delaminated beams, Mathematical Problem in Engineering, 2012:1-11.

6. J.Y. Peng, M.S. Cao, N. Xia and J. Chen*. 2013. Natural frequency spectra of cracked beams for dynamic property characterization. Applied Mechanics and Materials, 275-277: 247-251.

5. J. Chen, Z. Su, L. Cheng and L. Qin. 2013. Modeling elastic waves in coupled media: Estimate of soft tissue influence and application to quantitative ultrasound. Ultrasonics, 53(2):350–362. (IF:2. 89)Chen et al. 2013-Ultrasonics.pdf

4. J. Chen, J. Foiret, J.G. Minonzio, M. Talmant, Z. Su, L. Cheng and P. Laugier. 2012. Measurement of guided mode wavenumbers in soft tissue-bone mimicking phantoms using ultrasonic axial transmission, Physics in Medicine and Biology, 57:3025–3037. (IF: 3.609)

3. J. Chen, Z. Su, L. Cheng and L. Qin. 2010. Influence of soft tissues on ultrasonic Lamb waves in synthesised soft tissue-bone phantoms, Proc. IFMBE, 31:1315-1318.

2. J. Chen, Z. Su and L. Cheng. 2010. Identification of corrosion damage in submerged structures using fundamental anti-symmetric Lamb waves, Smart Materials and Structures, 19(1):015004(12pp). (IF: 3.585)Chen et al. 2010-SMS.pdf

1. Y.P. Zheng, J. Chen and H.Y. Ling. 2010. Development of an ultrasound platform for the evaluation of plantar soft tissue properties, Instrumentation Science & Technology, 39(3):248–260. (IF: 1.584)

会议论文 

13. Y. Cao, X. Duan, S. Hou, W. Xing, M. Yang, Y. Ma, Z. Wang, W. Li, Q. Li, C. He, J. Chen*. 2022. Intelligent classification of B-line and white lung from COVID-19 pneumonia ultrasound images using radiomics analysis. The 14th International Conference on Bioinformatics and Biomedical Technology (ICBBT 2022).

12. 杨敬涵，姜梦圆，张皓，秦伟，陈上仲，李庆利，魏高峰，陈建刚*，胡才宝. 多参数低血容量性休克预警系统研究. 中华医学会第15次全国重症医学大会, 2021.

11. 邢文宇，陈上仲，秦伟，魏高峰，他得安，李庆利，陈建刚*，胡才宝. 基于深度学习的肺超声A线自动检测算法研究. 中华医学会第15次全国重症医学大会, 2021.

10. D. Shahmirzadi, J. Chen, Y. Hou, E. Konofagou. 2013. A Viscoelastic Property Study in Canine Liver Before and After HIFU Ablation In Vitro. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, 2013, Osaka, Japan.

9. J.Y. Peng, M.S. Cao, N. Xia and J. Chen. 2012. Natural Frequency Spectra of Cracked Beams for Dynamic Property Characterization, in Proceedings of the 2012 International Conference on Applied Mechanics and Materials (ICAMM 2012), 24-25 November, 2012, Sanya, China.

8. J. Chen, Y. Hou, F. Marquet and E. Konofagou. 2012. Radiation-force-based estimation of acoustic attenuation using harmonic motion imaging. the 164th Meeting of the Acoustical Society of America, 22-26 October, Kansas City, MO, USA.

7. J. Chen, Z. Su and L. Cheng. 2012. Coupling effect on propagation of guided waves in engineering structures and human bone phantoms, in Proceedings of the 2012 International Conference on Advances in Coupled Systems Mechanics (ACSM’12), 26-29 August, 2012, Seoul, Republic of Korea.

6. J. Chen, Z. Su and L. Cheng. 2010. Identification of corrosion damage in submerged structures using anti-symmetric Lamb wave mode, in Proceedings of the 5th European Workshop on Structural Health Monitoring, Jul, 2010, Naples, Italy.

5. J. Chen, Z. Su, L. Cheng and L. Qin. 2010. Influence of soft tissues on ultrasonic Lamb waves in synthesised soft tissue-bone phantoms, in Proceedings of the 6th World Congress of Biomechanics (WCB 2010) in conjunction with the 14th International Conference on Biomedical Engineering (ICBME) and the 5th Asia-Pacific Conference on Biomechanics (AP Biomech-2010), edited by Lim, C.T. and Goh, J.C.H., Heidelberg: Springer-Verlag GmbH & Co., ISBN: 978-3-642-14514-8, pp. 1315-1318, 1-6, August, 2010, Singapore.

4. J. Chen, Z. Su and L. Cheng. 2009. Exploring influence of coupled fluid layer on propagation of Lamb waves in bone phantoms: Modelling and experiment, in Proceeding of the 3th International Conference onMechanics of Biomaterials & Tissues, pp. 99, Dec, 2009, Clearwater Beach, USA.

3. J. Chen, Z. Su and L. Cheng. 2009. Influence of media coupling on Lamb waves in bone phantoms, in Proceedings of the 4th Asia-Pacific Conference on Biomechanics. pp. 236-237, Apr, 2009, Christchurch, New Zealand.

2. J. Chen, Y.P. Zheng and H.Y. Ling. 2007. Development of ultrasound platform for the evaluation of the plantar soft tissue properties, in Proceeding of the 6th International Conference and Imaging of Tissue Elasticity. pp.99, Nov, 2007, New Mexico, USA.

1. J. Chen and J. Wang. Development of physical therapy instrument for cervical spondylosis treatment, in Proceeding of International Forum on Rehabilitation 2005 and the 6th Chinese Symposium of Rehabilitation Medical Engineering & Rehabilitation Engineering. pp.133, Aug, 2005, Xian, China

发明专利

已授权：

12.陈建刚,李庆利.2020.一种下腔静脉超声动态自动化测量系统和方法.授权日期:2023.02.06.专利号: CN111388006A.(发明)

11.陈建刚,秦伟等.可采集心电数据的方向盘、生命体征检测系统.授权日期:2022.03.29.专利号:ZL202121588397.2.(实用新型)

10.陈建刚,秦伟等.超声气胸快速检测分析系统.授权日期:ZL202122546044.2.(实用新型)

9.陈建刚,秦伟等.一种自由臂超声气胸定量评估系统.ZL202122829168.1.(实用新型)

8. 陈建刚,李庆利. 一种基于Radon变换的超声胸膜线自动识别定位系统.授权日期:2021.05.07.专利号:CN111297396B.(发明)

7. 陈建刚,屠友冲,秦伟.  一种防止滑落的超声探头.授权日期:2019.02.22.专利号:CN 208524900U.(发明)

6. 陈建刚,李庆利.一种基于Radon变换的超声胸膜线自动识别定位方法.授权日期: 2021.3.26.专利号: ZL202020204078.6. (实用新型)

5. J. Chen, Eugene Leyvi and Balasundar Raju. Ultrasound system and method of vessel identification. 授权日期：2020.07.28. 授权国家:美国,中国,日本.Patent number: WO2016156446A1, US10722209B2, CN107438408 (A), JP2017524455 (A).(发明)

4. J. Chen, E. Konofagou and Y. Hou. Quantitative estimation of tissue attenuation based on acoustic radiation force using Harmonic Motion Imaging (HMI). 授权日期：2014.05.06. 授权国家：美国. Patent number: WO2014113442A1, US10722209B2.(发明)

3. J. Chen and J.P. Xu. Multi-mode ultrasound device and method for assessing a bone of a subject with coupler sensing configurations of probes.授权日期:2019.12.24. 授权国家:美国.Patent number:WO2015113813A9, US10512445B2.(发明)

2. Y. Tu and J. Chen. Method for controlling wireless intelligent ultrasound fetal imaging system. 授权日期:2016.01.28. 授权国家:美国. Publication number: US10413274B2.(发明)

1. J. Provost, E. Konofagou, Y. Hou and J. Chen. Systems and methods of high frame rate streaming for treatment monitoring.保护期:2014.06.09-2034.06.08.授权国家:美国. Patent number: US20150010222A1, US9247921B2 (发明)

已受理：

11. 陈建刚,李庆利.2021.一种基于A超的气胸自动检测系统和A超图像分类方法.专利申请号: 202110061225.8

10. 陈建刚,李庆利.2021.一种基于超声应变成像的气胸自动检测系统.专利申请号: 202110061483.6

9. 陈建刚,李庆利.2021.一种基于人工智能的便携式超声肺炎辅助诊断系统.专利申请号: 202110087077.7

8. 陈建刚,秦伟,艾志军,周昌,屠友冲 2018 超声脂肪厚度测量装置；专利申请号：2018D139.

7. 陈建刚,赵磊,周昌,屠友冲 2017 一种可变形的手持三维超声探头及应用该探头的成像装置；专利号: CN 107518917 A.

6. 陈建刚,屠友冲,秦伟 2017 超声探测装置及其探测方法；专利申请号：CN107693048A.

5. 李文放，何超，陈建刚，张英，裴蕾，江伟伟一种用于评估新冠肺炎患者病情严重程度的超声分析系统.专利申请号: 202010269407.X

4. Y. Qi, J. Chen and H. Li. 2016. Fetal imaging system and method. PCT Application. Patent number: WO2017153301 (A1), EP20160168847. 授权国家：美国.

3. 陈建刚等.一种石墨烯电极智能方向盘系统及制备方法.2021.

2. 蒋天颢、周家纬、王惜蕊等.一种新型OCR识别方法.2021

1. 陈建刚、徐伟刚、秦伟等.一种基于超声视频的气泡自动检测分级方法及系统.2022

专著

1. 陈建刚，2021《新型冠状病毒肺炎影像诊断与人工智能》第7章

2022年 教育部"春晖计划"

2022年 四川省医学科技奖，三等，题目：高效多模态图像融合技术对儿童心脏和肺部进行医学超声图像分析的应用研究，证书号:2022-3-24-02

2021年 全国高校计算机能力挑战赛优秀指导老师

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