Wenji Wang (王文集)


wwj

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]

Journal

Slice2Mesh: 3D surface reconstruction from sparse slices of images for the left ventricle.
Jia Xiao, Wen Zheng, Wenji Wang, Qing Xia, Zhennan Yan, Qian Guo, Xiao Wang, Shaoping Nie, and Shaoting Zhang.
IEEE Transactions on Medical Imaging (2024). [PDF]
Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy.
Caibo Ning, Linyun Fan, Meng Jin, Wenji Wang, Zhiqiang Hu, Yimin Cai, Liangkai Chen, Zequn Lu, Ming Zhang, Can Chen, Yanmin Li et al.
Nature Communications 14.1 (2023): 7900. [PDF]
Avdnet: Joint coronary artery and vein segmentation with topological consistency.
Wenji Wang, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris Metaxas, Shaoting Zhang
Medical Image Analysis 91 (2024): 102999. [PDF]
Few-shot Learning by a Cascaded Framework with Shape-constrained Pseudo Label Assessment for Whole Heart Segmentation.
Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris Metaxas and Shaoting Zhang
IEEE Transactions on Medical Imaging (TMI), 2021, 40(10): 2629-2641. [PDF]
Quantification of full left ventricular metrics via deep regression learning with contour-guidance.
Wenji Wang, Yuanquan Wang, Yuwei Wu, Tao Lin, Shuo Li, Bo Chen
IEEE Access 7 (2019): 47918-47928. [PDF]