Ding XiaoweiAssociate Professor

Address:

Phone:

Email:dingxiaowei@sjtu.edu.cn

Research Center:Institute of Image Communication and Network Engineering

Selected Publications

Ding, Xiaowei, Demetri Terzopoulos, Mariana Diaz‐Zamudio, Daniel S. Berman, Piotr J. Slomka, and Damini Dey. "Automated pericardium delineation and epicardial fat volume quantification from noncontrast CT." Medical physics 42, no. 9 (2015): 5015-5026.


Ding, Xiaowei, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Chenfanfu Jiang, Zhaoyang Fan, Daniel S. Berman et al. "Automated pericardial fat quantification from coronary magnetic resonance angiography: feasibility study." Journal of Medical Imaging 3, no. 1 (2016): 014002.


Tajbakhsh, Nima, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, and Xiaowei Ding. "Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation." Medical Image Analysis (2020): 101693.


Yan, Xingjian, Jianing Pang, Hang Qi, Yixin Zhu, Chunxue Bai, Xin Geng, Mina Liu, Demetri Terzopoulos, and Xiaowei Ding. "Classification of lung nodule malignancy risk on computed tomography images using convolutional neural network: A comparison between 2d and 3d strategies." In Asian Conference on Computer Vision, pp. 91-101. Springer, Cham, 2016.


Hell, M., X. Ding, P. Slomka, D. Terzopoulos, S. Hayes, S. Achenbach, S. Berman, and D. Dey. "Epicardial adipose tissue volume but not density is an independent predictor for myocardial ischemia." In EUROPEAN HEART JOURNAL, vol. 36, pp. 86-86. GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS, 2015.