陳建剛，男，畢業於香港理工大學，現任華東師範大學通信與電子工程學院研究員，碩士生導師。主要研究方向為醫工交叉方向。
基本介紹
- 中文名：陳建剛
- 國籍：中國
- 畢業院校：香港理工大學工程學院、西安交通大學生命學院、南昌航空大學信息工程學院
- 學位/學歷：博士
- 職業：華東師範大學通信與電子工程學院研究員，碩士生導師
- 專業方向：醫工交叉方向，包括醫學超聲設備硬體電路設計、嵌入式智慧型化算法開發、無線傳輸（藍牙、無線）系統開發、醫學影像處理與AI分析等。
- 職務：教授，碩士生導師
人物經歷,教育經歷,工作經歷,研究方向,1.可穿戴柔性超聲系統開發,2.急救重症超聲,3.婦產超聲,4.專科手持超聲系統開發,科研項目,獲獎記錄,社會任職,學術成果,發明專利,專著,
人物經歷
教育經歷
2007-2011香港理工大學工程學院 博士 (導師：Prof. Zhongqing Su)
2003-2006西安交通大學生命學院 碩士 (導師：王珏教授)
1999-2003南昌航空大學信息工程學院 學士
工作經歷
2023- 華東師範大學 研究員，碩導
2020-2023 華東師範大學 副研究員
2019牛津大學高等研究院(蘇州) 高級研究員 (Lab of Prof.Ronald Roy)，超聲人工智慧實驗室主任
2017-2018 美童智慧型科技 首席科學家
2013-2017 飛利浦亞洲研究院 高級科學家
2011-2012 美國哥倫比亞大學 博士後研究員 (Lab of Prof.Elisa Konofagou)
2006-2007 香港理工大學 研究助理 (Lab of Prof.Yongping Zheng)
研究方向
研究方向包括醫學超聲設備硬體電路設計、嵌入式智慧型化算法開發、無線傳輸（藍牙、無線）系統開發、醫學影像處理與AI分析等。具體如下：
1.可穿戴柔性超聲系統開發
結合最新的柔性超聲感測器技術，針對無創血壓連續監測、無創顱內壓連續監測、功能性經顱都卜勒監測等領域，開發可穿戴超聲設備，重點集中於可穿戴硬體系統、chip-level算法、信號處理與分析算法開發。
（1）可穿戴超聲硬體系統開發
採用高集成度超聲專用電路、多層PCB設計、柔性PCB（即fPCB）、先進的電池管理系統（電路、算法），將傳統大型超聲設備電路縮小至手掌大小，實現超聲系統的小型化和可穿戴。
（2）柔性超聲設計
根據具體套用場景，設計高貼合度、高透氣性的柔性超聲感測陣列。
2.急救重症超聲
針對急救重症領域常見疾病，開發超聲自動化、智慧型化算法，如氣胸、肺炎、休克、心臟驟停、顱內高壓、肝脾破裂、內出血等。
（1）新冠肺炎超聲AI智慧型輔助診斷
（2）下腔靜脈超聲自動識別與動態測量
3.婦產超聲
針對胎兒發育、早產，開發超聲自動識別、分割和大數據分析技術，如胎兒肺部、腦部發育，早產預測等。
項目1：無創胎兒肺部成熟度智慧型評估技術。胎兒肺部成熟度評估的唯一方法是羊水穿刺，有創風險高。本項目擬開發基於超聲AI的無創胎肺成熟度評估技術。
4.專科手持超聲系統開發
開發專科化手持超聲智慧型輔助診斷系統，解決臨床醫生不具備專業超聲圖像解讀能力的瓶頸，實現手持超聲人人可用，人人會用。
科研項目
14.浙江省“尖兵”“領雁”研發攻關計畫項目. 2024. 基於人工智慧ARDS肺循環精準化診治新技術研究. 250萬.子課題負責人.
13.吉林省科技發展計畫項目. 2023. 基於柔性穿戴式TCD的無創顱腦損傷智慧型監護系統研發及臨床套用. 50萬. 負責人.
12.西藏自治區2023科技廳中央引導地方科研項目, 2023, 基於人工智慧的超聲高原肺水腫輔助診斷與評估方法及臨床套用. 55萬. 負責人.
11.糖尿病足微環境智慧型感知及柔性聲學探頭與微針貼片複合系統調控末梢神經的作用及機制, 2022-01-01 至 2024-12-31, 來源: 國家自然科學基金委員會, 專項項目, 82151318，經費: 100萬, 主要負責人.
10.深度學習技術支持下的煤礦工人塵肺患者合併肺癌影像學診斷模型的建立, 2020-01-01 至 2023-12-31, 來源: 國家自然科學基金委員會, 地區科學基金項目, 81960577, 經費: 35萬, 主要負責人.
9.基於人工智慧的超聲ARDS輔助診斷與評估方法及臨床套用. 2021. 來源:上海市科委. 經費: 30萬. 擔任主要負責人.
8.柔性超聲感測陣列貼片研製. 2021. 來源: 上海理工大學. 經費: 18萬. 主持.
7.汗液監測系統關鍵技術開發. 2021. 來源:上海交通大學. 經費: 18萬. 主持.
6.智慧型腕錶生命體徵參數分析算法研發. 2121. 來源:企業. 經費: 51萬. 主持.
5.超聲都卜勒數據智慧型分析. 2021. 來源:醫院. 經費: 17萬. 主持.
4.基於人工智慧超聲算法的顱腦外傷傷情評估. 2021. 來源:醫院. 經費: 20萬. 主持.
3.超聲圖像目標自動識別算法. 2021. 來源:企業. 2021. 經費: 14.3萬. 主持.
2.訓練汗液感測晶片信號處理模組開發與腕錶集成測試. 2021. 來源：企業. 經費: 30萬. 主持.
1.基於自然語言處理的醫療文本信息智慧型提取軟體模組開發和集成. 2020. 來源:企業. 經費: 10萬. 主持.
獲獎記錄
2022年 教育部"春暉計畫"
2022年 四川省醫學科技獎，三等，題目：高效多模態圖像融合技術對兒童心臟和肺部進行醫學超聲圖像分析的套用研究，證書號:2022-3-24-02
2021年 全國高校計算機能力挑戰賽優秀指導老師
社會任職
亞歐兒童新生兒重症超聲研究會 副秘書長
大灣區教育融合發展智庫 特邀研究員
國際期刊Sensors特刊 Associated Editor
中國聲學學會生物醫學超聲工程分會 委員
中國醫學裝備協會超聲裝備技術分會質量標準專委會 委員
上海市第十人民醫院超聲診療工程技術研究中心 兼職教授
上海中醫藥大學 校外研究生導師
西藏大學 校外研究生導師
西交利物浦大學 校外導師
西安交通大學醫電校友會 副會長
學術成果
下列均為期刊論文（*通訊作者 #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區)
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區) 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區)
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區) 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 區）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區) 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區) 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,陳建剛,何超,李文放. 基於人工智慧的自動肺部超聲評分對 ARDS 患者血管外肺水評估的價值.中國急救醫學. 2023, 6:24-29. 2023-范浩浩-急救醫學.pdf
38. 劉貽曼,張志芳,沈蓉,陳麗君,胡孟晗,陳建剛,李慶利,張玉奇. 迷走鎖骨下動脈的超聲心動圖與CTA術前診斷價值及術後隨訪分析[J]. 臨床超聲醫學雜誌,2023,25(02):95-100.2023-劉貽曼-臨床超聲醫學.pdf
37. 劉貽曼,韓嘯翔,張玉奇,張志芳,沈蓉,董斌,袁加俊,胡孟晗,李慶利,陳建剛*. 深度學習在兒童心臟超聲標準切面自動智慧型識別中的套用[J].海軍軍醫大學學報，已錄用，2023.
36. 王卓然,張賢達,曹羽成,張玲,龔婷婷,馬燁波,段曉倩,郭康麗,李軍,陳媛,張健濤,葉本功,丁進,朱建偉,劉楓,胡端敏,周春華,鄒多武,李慶利,陳建剛*. 基於影像組學和機器學習的胃腸道間質瘤與非胃腸道間質瘤鑑別. 海軍軍醫大學學報，2023. 已接收.
35. 劉貽曼，張玉奇，張志芳，沈蓉，陳麗君，吳蘭平，李慶利，陳建剛，胡孟晗. 2023. 兒童先天性右心房畸形的超聲心動圖診斷價值及誤診分析. 醫學影像雜誌. 33(2):220-224.2023-劉貽曼-醫學影像學.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：二區) 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：二區) 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：一區) 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：一區) 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：二區)2022-Xing-BPSC.pdf
27. 馬燁波，邵傑，楊桓，黃麒銘，邢文宇，葉長青，王卓然，楊明雷，陳鍇，李博，陳自強，陳建剛. 2022. 基於支持向量機的椎弓根螺釘釘道超聲圖像評估方法研究. 海軍軍醫大學學報. 43(9):993-999. 2022-馬燁波-海醫大學報.pdf
26. 段曉倩，陳建剛，王茵，秦偉，曹羽成，馬燁波，王卓然，魏高峰，沈夢君. 2022. 基於深度學習的四種肺部超聲徵象分類. 海軍軍醫大學學報. 43(8):901-907.2022-段曉倩-海醫大學報.pdf
25. 毛禹皓，李佳清，楊敬涵，張雅涵，馬燁波，王卓然，秦偉，郭強，李慶利，魏高峰，陳建剛. 2022. 人體汗液生化微信號無創連續採集傳輸系統. 電子製作. 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：三區) 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: 5.3，二區) 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：二區) 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：三區) Chen et al. 2021-UI.pdf
17. 向桂齊陽; 陳貝寧; 林詩祺; 朱包良; 陳建剛*; 徐偉剛*. 減壓性氣泡都卜勒評級. 中國職業醫學, 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：三區)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：三區)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 andZ. 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)
會議論文
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. 楊敬涵，姜夢圓，張皓，秦偉，陳上仲，李慶利，魏高峰，陳建剛*，胡才寶. 多參數低血容量性休克預警系統研究. 中華醫學會第15次全國重症醫學大會, 2021.
11. 邢文宇，陳上仲，秦偉，魏高峰，他得安，李慶利，陳建剛*，胡才寶. 基於深度學習的肺超聲A線自動檢測算法研究. 中華醫學會第15次全國重症醫學大會, 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
發明專利
已授權：
12.陳建剛,李慶利.2020.一種下腔靜脈超聲動態自動化測量系統和方法.授權日期:2023.02.06.專利號: CN111388006A.(發明)
11.陳建剛,秦偉等.可採集心電數據的方向盤、生命體徵檢測系統.授權日期:2022.03.29.專利號:ZL202121588397.2.(實用新型)
10.陳建剛,秦偉等.超聲氣胸快速檢測分析系統.授權日期:ZL202122546044.2.(實用新型)
9.陳建剛,秦偉等.一種自由臂超聲氣胸定量評估系統.ZL202122829168.1.(實用新型)
8. 陳建剛,李慶利. 一種基於Radon變換的超聲胸膜線自動識別定位系統.授權日期:2021.05.07.專利號:CN111297396B.(發明)
7. 陳建剛,屠友沖,秦偉. 一種防止滑落的超聲探頭.授權日期:2019.02.22.專利號:CN 208524900U.(發明)
6. 陳建剛,李慶利.一種基於Radon變換的超聲胸膜線自動識別定位方法.授權日期: 2021.3.26.專利號: ZL202020204078.6. (實用新型)
5. J. Chen, Eugene Leyvi and Balasundar Raju. Ultrasound system and method of vessel identification. 授權日期：2020.07.28. 授權國家:美國,中國,日本.Patent number: WO2016156446A1, US10722209B2, CN107438408 (A), JP2017524455 (A).(發明)
4. J. Chen, E. Konofagou and Y. Hou. Quantitative estimation of tissue attenuation based on acoustic radiation force using Harmonic Motion Imaging (HMI). 授權日期：2014.05.06. 授權國家：美國. Patent number: WO2014113442A1, US10722209B2.(發明)
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.授權日期:2019.12.24. 授權國家:美國.Patent number:WO2015113813A9, US10512445B2.(發明)
2. Y. Tu and J. Chen. Method for controlling wireless intelligent ultrasound fetal imaging system. 授權日期:2016.01.28. 授權國家:美國. Publication number: US10413274B2.(發明)
1. J. Provost, E. Konofagou, Y. Hou and J. Chen. Systems and methods of high frame rate streaming for treatment monitoring.保護期:2014.06.09-2034.06.08.授權國家:美國. Patent number: US20150010222A1, US9247921B2 (發明)
已受理：
11. 陳建剛,李慶利.2021.一種基於A超的氣胸自動檢測系統和A超圖像分類方法.專利申請號: 202110061225.8
10. 陳建剛,李慶利.2021.一種基於超聲應變成像的氣胸自動檢測系統.專利申請號: 202110061483.6
9. 陳建剛,李慶利.2021.一種基於人工智慧的攜帶型超聲肺炎輔助診斷系統.專利申請號: 202110087077.7
8. 陳建剛,秦偉,艾志軍,周昌,屠友沖 2018 超聲脂肪厚度測量裝置；專利申請號：2018D139.
7. 陳建剛,趙磊,周昌,屠友沖 2017 一種可變形的手持三維超聲探頭及套用該探頭的成像裝置；專利號: CN 107518917 A.
6. 陳建剛,屠友沖,秦偉 2017 超聲探測裝置及其探測方法；專利申請號：CN107693048A.
5. 李文放，何超，陳建剛，張英，裴蕾，江偉偉一種用於評估新冠肺炎患者病情嚴重程度的超聲分析系統.專利申請號: 202010269407.X
4. Y. Qi, J. Chen and H. Li. 2016. Fetal imaging system and method. PCT Application. Patent number: WO2017153301 (A1), EP20160168847. 授權國家：美國.
3. 陳建剛等.一種石墨烯電極智慧型方向盤系統及製備方法.2021.
2. 蔣天顥、周家緯、王惜蕊等.一種新型OCR識別方法.2021
1. 陳建剛、徐偉剛、秦偉等.一種基於超聲視頻的氣泡自動檢測分級方法及系統.2022
專著
- 陳建剛，2021《新型冠狀病毒肺炎影像診斷與人工智慧》第7章
