王進科(專碩)

發布者:董亮發布時間:2023-04-28浏覽次數:1336

伟德w88平台伟德w88平台

研究生指導教師簡介


姓    名

王進科

性    别

出生年月

1983.01

導師類别

專業學位碩導

技術職稱

教授

任職部門

榮成學院

E_mail

19598985@qq.com

電    話

0631-7595512

教育經曆

2002.09-2006.07,山東大學,軟件工程,工學學士

2006.09-2009.04,山東大學,計算機應用,工學碩士

2011.03-2016.07,哈爾濱工業大學,機械電子工程,工學博士

2017.09-2019.09,大阪大學,放射線研究科,博士後

工作經曆

2009.07-2011.09,伟德w88平台榮成學院,助教

2011.09-2018.09,伟德w88平台榮成學院,講師

2018.09-2023-08,伟德w88平台榮成學院,副教授

2019.10-至今,伟德w88平台伟德w88平台,碩導

2023.09-至今,伟德w88平台榮成學院,教授

研究領域及方向

  1. 研究領域(學科):電子信息、計算機應用

2. 主要研究方向:醫學圖像處理、深度學習、機器學習

3. 個人簡介

本人長期從事腹部CT、胸部CT、膝關節軟骨MRI、眼底圖像的醫學圖像處理與分析研究,歡迎自律自制,熱衷AI的同學聯系并加入本人所在的醫學圖像處理團隊https://402-lab.github.io/


科研項目

1. 主持或參與縱向課題

  1. 2018,主持國家自然科學基金,用于活體肝移植術前評估的肝髒CT圖像自動分割方法研究

  2. 2010,參與國家自然科學基金,用于準确診斷膝關節炎病情發展的MR圖像配準研究

  3. 2015,參與國家自然科學基金,MR圖像監測骨關節炎病情變化的量化研究

  4. 2019,主持黑龍江省自然科學基金,含病變肝髒CT的自動分割關鍵技術

  5. 2016,主持黑龍江省自然科學基金,基MR圖像精确配準技術監測膝關節軟骨厚度變化

  6. 2019,主持“理工英才”傑出青年人才項目,基于樹模型與圖譜模型的肝髒CT計算機輔助定位與分割技術

  7. 2023,主持伟德w88平台榮成學院拔尖創新團隊培養計劃,腹部CT的多器官自動分類識别關鍵技術

代表性科研論文

  1. Wang J, Li X, Cheng Y. (2023) Towards an extended EfficientNet-based U-Net framework for joint optic disc and cup segmentation in the fundus image[J]. Biomedical Signal Processing and Control, 2023, 85: 104906.

  2. Wang J, Zhou L, Yuan Z, et al.(2023) MIC-Net: multi-scale integrated context network for automatic retinal vessel segmentation in fundus image[J]. Mathematical Biosciences and Engineering, 2023, 20(4): 6912-6931.

  3. Wang J, Zhang X, Guo L, et al. Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT[J]. Mathematical biosciences and engineering: MBE, 2023, 20(1): 1297-1316.

  4. Wang, J., Lv, P., Wang, H., & Shi, C. (2021). SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography. Computer Methods and Programs in Biomedicine, 208, 106268.

  5. Lv, P., Wang, J., & Wang, H. (2022). 2.5 D lightweight RIU-Net for automatic liver and tumor segmentation from CT. Biomedical Signal Processing and Control, 75, 103567.

  6. Lv, P., Wang, J., Zhang, X., & Shi, C. (2022). Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT. Scientific Reports, 12(1), 16995.

  7. Wang, J., Zhang, X., Lv, P., Wang, H., & Cheng, Y. (2022). Automatic liver segmentation using EfficientNet and Attention-based residual U-Net in CT. Journal of Digital Imaging, 1-15.

  8. Lv, P., Wang, J., Zhang, X., Ji, C., Zhou, L., & Wang, H. (2022). An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography. Math. Biosci. Eng, 19, 1426-1447.

  9. Wang, J., Li, X., Lv, P., & Shi, C. (2021). SERR-U-Net: squeeze-and-excitation residual and recurrent block-based U-Net for automatic vessel segmentation in retinal image. Computational and Mathematical Methods in Medicine, 2021.

  10. Jiang, J., Guo, Y., Bi, Z., Huang, Z., Yu, G., & Wang, J. (2022). Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms. Artificial Intelligence Review, 1-37.

  11. Yao, D., Zhan, X., Zhan, X., Kwoh, C. K., Li, P., & Wang, J. (2020). A random forest based computational model for predicting novel lncRNA-disease associations. BMC bioinformatics, 21, 1-18.

  12. Shi, C., Cheng, Y., Wang, J., Wang, Y., Mori, K., & Tamura, S. (2017). Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation. Medical image analysis, 38, 30-49.

  13. Wang, J., Cheng, Y., Guo, C., Wang, Y., & Tamura, S. (2016). Shape–intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images. International journal of computer assisted radiology and surgery, 11, 817-826.

  14. Wang, J., & Guo, H. (2016). Automatic approach for lung segmentation with juxta-pleural nodules from thoracic CT based on contour tracing and correction. Computational and mathematical methods in medicine, 2016.

  15. Wang, J., & Shi, C. (2017). Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy. Biomedical engineering online, 16, 1-19.

  16. Guo, H., Song, S., Wang, J., Guo, M., Cheng, Y., Wang, Y., & Tamura, S. (2018). 3D surface voxel tracing corrector for accurate bone segmentation. International journal of computer assisted radiology and surgery, 13, 1549-1563.

  17. Wang, J., Zu, H., Guo, H., Bi, R., Cheng, Y., & Tamura, S. (2019). Patient-specific probabilistic atlas combining modified distance regularized level set for automatic liver segmentation in CT. Computer Assisted Surgery, 24, 20-26.

  18. Guo, C., Cheng, Y., Guo, H., Wang, J., Wang, Y., & Tamura, S. (2015). Surface-based rigid registration using a global optimization algorithm for assessment of MRI knee cartilage thickness changes. Biomedical Signal Processing and Control, 18, 303-316.

  19. Shi C, Cheng Y, Wang J, et al. Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation[J]. Medical image analysis, 2017, 38: 30-49.

  20. Jiang, J., Guo, Y... Wang J, et al. Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms. Artificial Intelligence Review2022.

代表性專利、專著

  1.  王進科,楊志鵬. 一種用于人工智能圖像的檢測裝置[P]. 黑龍江省:CN216483188U,2022-05-10.

  2.  王進科,孫豔霞. 一種醫療圖像處理裝置[P]. 黑龍江省:CN209059237U,2019-07-05.

  3. 王進科,晏清微. 一種醫療超聲波診斷輔助裝置[P]. 黑龍江省:CN209059262U,2019-07-05.

科研獲獎

  1. 2020,第二屆榮成市青年科技獎

  2. 2018,山東省高等學校科學技術三等獎

社會、學會及學術兼職

Biomedical Signal Processing and Control》、《International Journal of Computer Assisted Radiology and Surgery》、《Engineering Applications of Artificial Intelligence 》、《生物醫學工程學報》等國内外期刊審稿人、ISIS系統評議專家。


榮譽獎勵

  1. 2010,伟德w88平台優秀教師

  2. 2013,伟德w88平台優秀畢業設計指導教師

  3. 2016,伟德w88平台優秀主講教師



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