Hao Chen 博士(PHD DEGREE)

集萃产业导师(JITRI INDUSTRIAL SUPERVISOR)

Mathware Architect & Team Lead - Jiangsu JITRI Sioux Technology Co., Ltd, Suzhou, Chin
江苏集萃苏科思科技有限公司 应用数学架构师&团队主管

期刊文章:
(1) Hao Chen (#), Leo Kluijtmans, Max Bakker, Hans Dunning, Yan Kang, Sebastiaan van de Groes, André M.J. Sprengers(*), Nico Verdonschot. A robust and semi-automatic quantitative measurement of patellofemoral instability based on four dimensional computed tomography. Medical Engineering and Physics. 2020; online doi: 10.1016/j.medengphy.2020.01.012.
(2) Hao Chen (#)(*), André Sprengers, Yan Kang, Nico Verdonschot. Automated segmentation of trabecular and cortical bone from proton density weighted MRI of the knee. Medical & Biological Engineering & Computing. 2019;57(5):1015–1027.
(3) Shengyu Fan (#), Yueyan Bian, Hao Chen, Yan Kang, Qi Yang, Tao Tan(*). Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model. Frontiers in Neuroinformatics.2020;13:77.
(4) Chenggong Yan, Jie Lin, Haixia Li, Jun Xu, Tianjing Zhang, Hao Chen, Henry C Woodruff, Guangyao Wu, Suqu Zhang, Yikai Xu, Philippe Lambin. Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis. Korean J Radiol. 2021 Mar 9. doi: 10.3348/kjr.2020.0988.
(5) Jing Zou(#), Hao Chen(#), Qiyang Zhang, Yan Kang and Dan Xia(*). Fast Cone-beam CT Image Reconstruction based on BPF Algorithm: Application to Ortho-CT. International Journal of Computational Methods.2014;11(4):130067-1-19.

发表专利:
(1) 陈皓,周海华,杨乐,张娜. CN105678750B 医学图像的灰度映射曲线生成方法及装置.
(2) 陈皓,周海华,滕万里. CN1057011796B 乳房图像的厚度均衡方法及装置、乳房摄影系统.
(3) 张娜,陈皓,周海华,滕万里,胡扬. CN105374062 二维医学图像的生成方法及装置.
(4) 张娜,周海华,陈皓,杨乐. CN105147310B 乳房图像获取方法及装置、乳房摄影系统.
(5) 张娜,杨乐,陈皓,牛杰,韩业成. CN105184835B 乳腺断层图像重建方法和装置.
(6) Le Yang, Haihua Zhou, Juan Feng, Kai Cui, Ji Qi, Na Zhang, Hao Chen, Jie Niu Yecheng Han, Wanli Teng, Yange Ma. US20170301114A1 Image Reconstruction system and method.

期刊、专利外的代表性研究成果:
(1) Hao Chen (#). Knee bone and cartilage segmentation based on a 3D deep neural network using adversarial loss for prior shape constraint. University of Twente.2020:33-50.
(2) Hao Chen (#). Fully automatic quantitative measurement of knee joint movement based on 4DCT using deep neural network for automatic segmentation of bones. University of Twente. 2020:103-119.
(3) Zhiqiong Wang(#), Hao Chen, Yalu Huang, Yu Xu, Longwei Yang, Jingjing Xiao. Efficient similarity search on massive gene data based on cloud computing. 2011 IEEE International Conference on Computer Science and Automation Engineering.2011.
Hao Chen