I'm now a senior research scientist/manager at SenseTime Research (Beijing, China). Before that, I received my M.D. degree in 2019 from Beijing Institue of Technology. I have been focusing on computer vision and medical imaging analysis, espeically in the field of heart for many years.
In recent years, I participated in the development of coronary artery intelligent diagnosis software, coronary CT blood flow reserve fraction calculation software, and led the development of electrocardiogram intelligent diagnosis software.
A lot of research was carried out from 1D signals like ECG to 2D/3D images such as MR, Ultrasound and CT, and the papers were published in Nature Communications, MIA, TMI, and so on.
If you are interested in my field of research and would like to communicate with me, please feel free to email me:
wenji_wang@126.com
News
[2024-12-02] One paper on 3D surface reconstruction from sparse MR slices was accepted to
IEEE TMI.
[2023-11-18] One paper on genome-wide association analysis of left ventricular imaging-derived phenotypes was accepted to
NC .
[2023-10-10] One paper on joint coronary artery and vein segmentation was accepted to
MIA .
[2023-09-21] One paper on identification of myocardial scarring was accepted to
JMRI .
[2021-05-14] One paper on deep reinforcement learning for coronary artery extraction was accepted to
MICCAI 2021.
[2021-01-16] One paper on few-shot learning for Whole Heart Segmentation was accepted to
IEEE TMI.
[2020-04-16] Our paper
"SenseCare: A Research Platform for Medical Image Informatics" was available on
arxiv.
[2019-03-26] One paper on quantification of full Left ventricular metrics was published to
IEEE Access .
[2018-10-22] We won the First Prize of
LVQuan 2018.
[2018-05-17] I started to work as an ML/CV research intern at
SenseTime Research (Beijing, China).
Featured Publications
Conference
A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction.
Zhuowei Li, Qing Xia, Zhiqiang Hu,
Wenji Wang, Lijian Xu and Shaoting Zhang.
The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021).
[PDF][code]
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation.
Zhuowei Li, Qing Xia,
Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan and Dimitris Metaxas.
The 11th International Workshop on Machine Learning in Medical Imaging (MIML 2020).
[PDF]