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王聪聪




姓    名王聪聪

职    称讲师

导师类型硕士生导师

电子邮箱:congcong_wang@yeah.net

办公地点:7号楼314A

研究方向:计算机视觉、人工智能、工业机器人/手术导航

山东大学,电子科学与技术,学士;

北京理工大学光学工程,交流;

北京邮电大学,信息光子学与光通信国家重点实验室,学习;

欧盟Erasmus Mundus多媒体技术,全奖硕士(法国、西班牙、挪威);

挪威科技大学,计算机科学博士;

曾在挪威国立研究型医院奥斯陆大学医院医学机器人组和挪威科技大学计算机学院担任研究员,爱立信担任工程师。

长期从事信号处理,图像处理/计算机视觉等研究工作,2020 年至今起担任天津理工大学计算机科学与工程学院讲师。与挪威科大、奥斯陆大学、美国罗切斯特理工学院,英国、法国、巴基斯坦、工业界等保持稳定的学术研究合作。


1. 国家自然科学基金青年项目, 不配对数据集的弱监督学习及其用于腔镜视频去雾,2022-2024, 主持

2. 挪威科技大学创新项目,手术导航中的基于双目的器官表面配准,2020,主持。

3. 挪威国家研究理事会项目,医学诊断,监测和治疗中的图像质量增强,2015- 2019,参与。

4. 欧盟研究理事会玛丽居里ITN项目,针对软组织的高性能导航技术, 2016- 2021,参与。

5. 挪威国家研究理事会项目,通过人工智能的和3D重建提高无线胶囊内窥镜图像的病理检测,2019-2023,参与。

6. 挪威地区研究理事会项目,智慧眼镜,2020 – 2021,参与。



[1] Luo H, Wang C, Duan X, Liu H, Wang P, Hu Q, Jia F*. Unsupervised Learning of Depth Estimation from Imperfect Rectified Stereo Laparoscopic Images. Computers in Biology and Medicine. Volume 140, 2022, 105109, ISSN 0010-4825

[2]Yang Y, Wang C*, Feng Y, Zhang J, Zheng Y, Chen S*. Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images.  in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2021.3130719.

[3]Ma J, Zhang Y, Gu S, Zhu C, Ge C, Zhang Y, An X, Wang C, Wang Q, Liu X, Cao S, Zhang Q, Liu S, Wang Y, Li Y, He J, Yang X*. Abdomenct-1k: Is abdominal organ segmentation a solved problem. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 Jul 27. doi: 10.1109/TPAMI.2021.3100536.

[4]Mohammed A.#, Wang C.#, Zhao M.#, Ullah M.#, Naseem R.#, Wang H.,Pedersen M. and Alaya Cheikh F. “Semisupervised Network for Detection of COVID-19 in Chest CT Scans", IEEE access, 2020.

[5]Wang, C.*#, Cheikh, F. A., Kaaniche, M., Beghdadi, A., and Elle, O. J. (2018). “Variational based smoke removal in laparoscopic images”. Biomedical engineering online, 17(1), 139.

[6]Wang, C., Cheikh, F. A., Kaaniche, M., and Elle, O. J. “Liver surface reconstruction for image guided surgery”. Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol.10576. International Society for Optics and Photonics, 2018. (此算法获MICCAI 2019 endovissub2019 比赛第三名 )

[7]Wang, C., Alaya Cheikh, F., Beghdadi, A. and Elle, O. J. “Adaptive context encoding module for semantic segmentation”. In Electronic Imaging 2020: Image Processing: Algorithms and Systems. Society for Imaging Science and Technology, 2020.

[8]Ma J., Nie Z,, Wang C., Dong G., Zhu Q., He J., Gui L., Yang X. “Regional Active Contour Regularized Semisupervised Learning for COVID-19 CT Infection Segmentation with Limited Labelled Images", . Physics in Medicine & Biology, 2020, 65(22).

[9]Teatini, A.#, Wang C.#, Palomar R., Alaya Cheikh F., Beghdadi A., Edwin B., and Elle O.J. “Validation of stereo vision based liver surface reconstruction for image guided surgery”. In 2018 Colour and Visual Computing Symposium (CVCS), pp. 1-6. IEEE, 2018.

[10]Bolkar, S., Wang, C., Cheikh, F. A., and Yildirim, S. “Deep smoke removal from minimally invasive surgery videos”. In 25th IEEE International Conference on Image Processing (ICIP), pp. 3403-3407. IEEE, 2018.

[11]Wang, C.#, Sharma, V.#, Fan, Y., Alaya Cheikh, F., Beghdadi, A., Elle, O.J., and Stiefelhagen, R. “Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?”. In 26th Color and Imaging Conference, pp. 163-168, 2018, Society for Imaging Science andTechnology.

[12]Wang, C.*, Mohammed, A.K.*, Alaya Cheikh, F., Beghdadi, A., and Elle, O.J. “Multiscale deep desmoking for laparoscopic surgery”. Medical Imaging 2019: Image Processing. Vol. 10949. International Society for Opticsand Photonics, 2019. (* denotes equal contribution.)

[13]Sidorov, O., Wang, C., Cheikh, F.A. "Generative Smoke Removal". NeurIPS ML4H 2019 workshop, 2019.



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