Yirui Wang  

Senior Research Scientist
PAII Inc.
Email: yiruiwang06 [at] gmail [dot] com
CV, Google Scholar, GitHub


Brief Bio

Hi! I am Yirui Wang, a senior research scientist at PAII-labs. Before this, I got my Master's degree in Department of Computer Science at the Johns Hopkins University in 2018. I obtained my bachelor degree of Computer Science from East China Normal University in 2016, supervised by Prof. Aimin Zhou.


My main research interest is developing computer-aided diagnosis solutions for emergency trauma, especially on fracture detection in X-rays.


Updates

[04/2022] I was promoted to Senior Research Scientist by PAII Inc! Great thanks to my mentors and colleagues!

[09/2021] Our work on bone mineral density prediction and fracture risk assessment was accepted by Nature Communications!

[02/2021] One paper is accepted by IPMI 2021.

[01/2021] I'm honored to receive the Ping An Group Innovation Award for the core contribution to the fracture detection project.

[01/2021] One (co-) first author clinical paper is accepted by Nature Communications.

[12/2020] One paper is accepted by IEEE Transactions on Medical Imaging.

[12/2020] One paper is accepted by the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 21).

[08/2020] Two abstracts are accepted to Radiological Society of North America (RSNA 2020).

[07/2020] One paper is accepted by the 2020 European Conference on Computer Vision (ECCV 2020) .

[05/2020] One paper is accepted to Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020) (early accept).


Publications

2021

Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning: Chen-I Hsieh, Kang Zheng, Chihung Lin, Ling Mei, Le Lu, Weijian Li, Fang-Ping Chen, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Guotong Xie, Jing Xiao, Shun Miao & Chang-Fu Kuo. Nature Commnunications.

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph: Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Kuo Chang-Fu, Adam Harrison, Shun Miao. MICCAI Workshop on Data Augmentation, Labelling, and Imperfections.

Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images: Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Opportunistic screening of osteoporosis using plain film chest x-ray: Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao. International Workshop on PRedictive Intelligence In MEdicine.

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays: Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, and Shun Miao. The 27th international conference on Information Processing in Medical Imaging (IPMI 2021).

A Scalable Physician-Level Deep Learning Algorithm Detects Universal Trauma on Pelvic Radiographs: Chi-Tung Cheng*, Yirui Wang*, Huan-Wu Chen, Po-Meng Hsiao, Chun-Nan Yeh, Chi-Hsun Hsieh, Shun Miao, Jing Xiao, Chien-Hung Liao, and Le Lu. Nature Commnunications. * equal contribution.

Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation: Xinyu Zhang*, Yirui Wang*, Chi-Tung Cheng, Le Lu , Jing Xiao, Chien-Hung Liao, Shun Miao. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 21). * equal contribution.

2020

Contour Transformer Network for One-shot Segmentation of Anatomical Structures: Yuhang Lu, Kang Zheng, weijian Li, Yirui Wang, Adam P. Harrison, Chi-huang Lin, Jing Xiao, Song Wang, Le Lu, Chang-Fu Kuo, and Shun miao. IEEE Transactions on Medical Imaging.

Artificial intelligence in radiology: Dakai Jin, Adam P. Harrison, Ling Zhang, Ke Yan, Yirui Wang, Jinzheng Cai, Shun Miao, Le Lu. Artificial Intelligence in Medicine: Technical Basis and Clinical Applications, Academic Press, 2020.

PelviXNet: A Generalized Trauma Finding Detection Algorithm of Pelvic Radiography: Chi-Tung Cheng*, Yirui Wang*, Shun Miao, Huan-Wu Chen, Chien-Hung Liao, Le Lu. RSNA 2020. * equal contribution.

Consistent and Coherent Computer-Aided Knee Osteoarthritis Assessment from Plain Radiographs: Kang Zheng, Yirui Wang, Le Lu, Chang-Fu Kuo, Shun Miao, et al. RSNA 2020.

Anatomy-aware Siamese network: exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images: Haomin Chen*, Yirui Wang*, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P Harrison, Jing Xiao, Gregory D Hager, Le Lu, Chien-Hung Liao, Shun Miao. The European Conference on Computer Vision (ECCV), Glasgow, UK, 2020. * equal contribution.

Learning to segment anatomical structures accurately from one exemplar: Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chi-hung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lima, Peru, 2020 (early accept).

2019

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays: Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China 2019 (early accept).

Objective extraction via fuzzy clustering in evolutionary many-objective optimization: Aimin Zhou, Yirui Wang, and Jinyuan Zhang. Information Sciences, Elsevier, 2019.

A Generalized Trauma Finding Detection Algorithm of Pelvic Radiography: Chi-Tung Cheng*, Yirui Wang*, Shun Miao, Huan-Wu Chen, Chien-Hung Liao, Le Lu. RSNA 2019. * equal contribution.


Services

Journal Reviewer


Conference/Workshop Reviewer

Honors and awards