| Attentive relational networks for mapping images to scene graphs M Qi, W Li, Z Yang, Y Wang, J Luo CVPR-19, 3957-3966, 2019 | 179 | 2019 |
| Structured Landmark Detection via Topology-Adapting Deep Graph Learning W Li, Y Lu, K Zheng, H Liao, C Lin, J Luo, CT Cheng, J Xiao, L Lu, CF Kuo, ... ECCV-20, 266-283, 2020 | 112 | 2020 |
| Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning CI Hsieh, K Zheng, C Lin, L Mei, L Lu, W Li, FP Chen, Y Wang, X Zhou, ... Nature communications 12 (1), 5472, 2021 | 103 | 2021 |
| Mining the relationship between emoji usage patterns and personality W Li, Y Chen, T Hu, J Luo ICWSM-18 12 (1), 2018 | 71 | 2018 |
| Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization W Zhu, H Zheng, H Liao, W Li, J Luo ICCV-21, 15002-15012, 2021 | 46 | 2021 |
| Anatomy-aware siamese network: Exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images H Chen, Y Wang, K Zheng, W Li, CT Chang, AP Harrison, J Xiao, ... ECCV-20, 239-255, 2020 | 40 | 2020 |
| Patch transformer for multi-tagging whole slide histopathology images W Li, VD Nguyen, H Liao, M Wilder, K Cheng, J Luo MICCAI-19, 532-540, 2019 | 36 | 2019 |
| Contour Transformer Network for One-shot Segmentation of Anatomical Structures Y Lu, K Zheng, W Li, Y Wang, AP Harrison, C Lin, S Wang, J Xiao, L Lu, ... Transactions on Medical Imaging, 2020 | 26 | 2020 |
| Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification W Zhu, H Liao, W Li, W Li, J Luo MICCAI-20, 330-339, 2020 | 26 | 2020 |
| Uncovering download fraud activities in mobile app markets Y Dou, W Li, Z Liu, Z Dong, J Luo, SY Philip ASONAM-19, 671-678, 2019 | 25 | 2019 |
| DocTr: Document Transformer for Structured Information Extraction in Documents H Liao, A RoyChowdhury, W Li, A Bansal, Y Zhang, Z Tu, RK Satzoda, ... ICCV-23, 2023 | 20 | 2023 |
| Learning to segment anatomical structures accurately from one exemplar Y Lu, W Li, K Zheng, Y Wang, AP Harrison, C Lin, S Wang, J Xiao, L Lu, ... MICCAI-20, 678-688, 2020 | 17 | 2020 |
| Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data W Li, W Zhu, ER Dorsey, J Luo ICDM-20, 1106-1111, 2020 | 9 | 2020 |
| Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies W Li, H Liao, S Miao, L Lu, J Luo ICPR-20, 2020 | 7* | 2020 |
| Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph XY Zhou, B Lai, W Li, Y Wang, K Zheng, F Wang, C Lin, L Lu, L Huang, ... MICCAI-21-DALI, 145-153, 2021 | 5 | 2021 |
| Unsupervised anomaly detection by densely contrastive learning for time series data W Zhu, W Li, ER Dorsey, J Luo Neural Networks 168, 450-458, 2023 | 4 | 2023 |
| Structured landmark detection via topology-adapting deep graph learning M Shun, LI Weijian, LU Yuhang, K Zheng, L Lu US Patent 11,763,468, 2023 | 3 | 2023 |
| 96. health care disparities in complication and mortality rates following surgical management of cauda equina syndrome P Joo, W Li, A Phan, G Ramirez, CP Thirukumaran, J Luo, EN Menga, ... The Spine Journal 22 (9), S52-S53, 2022 | 3 | 2022 |
| Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding P Zhu, M Qi, X Li, W Li, H Ma ICCV-23, 2023 | 1 | 2023 |
| Causal inference via nonlinear variable decorrelation for healthcare applications J Wang, W Li, H Wang, H Lyu, C Thirukumaran, A Mesfin, J Luo arXiv preprint arXiv:2209.14975, 2022 | 1 | 2022 |
Jiebo Luo, Fellow of NAI/ACM/AAAI/IE...Albert Arendt Hopeman Professor of Engineering, University of RochesterE-mailová adresa ověřena na: cs.rochester.edu
