Weijian Li
University of Rochester
H-index: 11
North America-United States
Top articles of Weijian Li
Systems and Methods for Automated Tagging of Digital Histology Slides
2024/2/13
Unsupervised anomaly detection by densely contrastive learning for time series data
Neural Networks
2023/11/1
Structured landmark detection via topology-adapting deep graph learning
2023/9/19
DocTr: Document Transformer for Structured Information Extraction in Documents
ICCV-23
2023/7/16
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones
2023/7/2
Method and system for image segmentation using a contour transformer network model
2023/4/4
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
2023
Pengfei Zhu
H-Index: 27
Mengshi Qi
H-Index: 7
Xia Li
H-Index: 13
Weijian Li
H-Index: 5
Huadong Ma
H-Index: 36
Causal inference via nonlinear variable decorrelation for healthcare applications
arXiv preprint arXiv:2209.14975
2022/9/29
96. health care disparities in complication and mortality rates following surgical management of cauda equina syndrome
The Spine Journal
2022/9/1
Weijian Li
H-Index: 5
Jiebo Luo
H-Index: 65
Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
Nature communications
2021/9/16
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
2021
Anatomy-aware siamese network: Exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images
2020
Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies
ICPR-20
2020/4/16
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
IEEE transactions on medical imaging
2020/12/8
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
2020/11/17
Learning to segment anatomical structures accurately from one exemplar
2020
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification
2020/4/21
Co-Authors
