Weijian Li

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 Communications, 12, Article number: 5472. 2021

Structured Landmark Detection via Topology-Adapting Deep Graph Learning

Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

ECCV'20: European Conference on Computer Vision. 2020.

Attentive Relational Networks for Mapping Images to Scene Graphs

Mengshi Qi^‡, Weijian Li^‡, Zhengyuan Yang, Yunhong Wang, Jiebo Luo

CVPR'19: IEEE Conference on Computer Vision and Pattern Recognition. 2019.

Patch Transformer for Multi-tagging WholeSlide Histopathology Images

Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo

MICCAI'19: International Conference on Medical Image Computing and Computer Assisted Intervention. 2019. (Early Accept)

Mining the Relationship between Emoji Usage Patterns and Personality

Weijian Li^‡, Yuxiao Chen^‡, Tianran Hu, Jiebo Luo

ICWSM'18: The International AAAI Conference on Web and Social Media. 2018

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data

Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo

ICDM'20: IEEE International Conference on Data Mining. 2020

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Xiaoyun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao

MICCAI-DALI: The MICCAI workshop on Data Augmentation, Labeling, and Imperfections. 2021

Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization

Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo

ICCV'21: IEEE International Conference on Computer Vision. 2019.

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

TMI: IEEE Transactions on Medical Imaging. 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

ECCV'20: European Conference on Computer Vision. 2020.

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies

Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo

ICPR'20: The International Conference on Pattern Recognition. 2020. (Oral Presentation)

Learning to Segment Anatomical Structures Accurately from One Exemplar

Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

MICCAI'20: International Conference on Medical Image Computing and Computer Assisted Intervention. 2020.

Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification

Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo.

MICCAI'20: International Conference on Medical Image Computing and Computer Assisted Intervention. 2020.

Uncovering Download Fraud Activities in Mobile App Markets

Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu.

ASONAM'19: IEEE/ACM The International Conference on Advances in Social Networks Analysis and Mining. 2019.