个人信息介绍

刘琮，1982年生，籍贯湖北省郧西县，群众，工学博士，讲师。2016年6月博士毕业于同济大学，主要从事图像引导放疗、计算机视觉、机器学习的研究工作；2020年2月-至今，上海商学院商务信息学院，讲师。

个人教学、科研介绍

目前主要从事计算机科学与技术专业的教学和科研工作。主讲课程有《海量数据存储》、《计算机视觉》、《常微分》等。主要研究方向有：1）图像引导放疗；2）机器学习等。

联系方式：

主要教科研成果：

[1] "Liu, Cong",A modality conversion approach to MV‐DRs and KV‐DRRs registration using information bottlenecked conditional generative adversarial network,Medical Physics,46,10,4575-4587,2019,Wiley Online Library

[2] "Liu, Cong ",Multimodal medical image registration via common representations learning and differentiable geometric constraints,Electronics Letters,55,6,316-318,2019,IET

[3] "Liu, Cong ",Synthesising KV-DRRs from MV-DRs with fractal hourglass convolutional network,Electronics Letters,54,12,762-764,2018,IET

[4] "Liu, Cong ",Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics,European radiology,29,11,6080-6088,2019,Springer

[5] " Liu, Cong ",Association of lung and heart dose with survival in patients with non-small cell lung cancer underwent volumetric modulated arc therapy,Cancer management and research,11,,6091,2019,Dove Press

[6] "Liu, Cong ",Learning motion and content-dependent features with convolutions for action recognition,Multimedia Tools and Applications,75,21,13023-13039,2016,Springer

[7] "Liu, Cong ",Segmentation of nerve on ultrasound images using deep adversarial network,Int. J. Innov. Comput. Inform. Control,14,1,53-64,2018,

[8] "Liu Cong", Imposing Boundary-aware Prior into CNNs-based Medical Image Segmentation,Electronics Letters,,,,2020,IET