| PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation R Deng, Q Liu, C Cui, T Yao, J Yue, J Xiong, L Yu, Y Wu, M Yin, Y Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis R Deng, Q Liu, C Cui, T Yao, J Xiong, S Bao, H Li, M Yin, Y Wang, S Zhao, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology J Guo, S Lu, C Cui, R Deng, T Yao, Z Tao, Y Lin, M Lionts, Q Liu, J Xiong, ... arXiv preprint arXiv:2408.06381, 2024 | 1 | 2024 |
| Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results J Yue, T Yao, R Deng, Q Liu, J Xiong, H Yang, Y Huo arXiv preprint arXiv:2406.19540, 2024 | 1 | 2024 |
| Deep learning-based open source toolkit for eosinophil detection in pediatric eosinophilic esophagitis J Xiong, Y Liu, R Deng, RN Tyree, H Correa, G Hiremath, Y Wang, Y Huo Medical Imaging 2024: Digital and Computational Pathology 12933, 231-237, 2024 | 1 | 2024 |
| Eosinophils instance object segmentation on whole slide imaging using multi-label circle representation Y Liu, R Deng, J Xiong, RN Tyree, H Correa, G Hiremath, Y Wang, Y Huo Medical Imaging 2024: Digital and Computational Pathology 12933, 114-132, 2024 | 1 | 2024 |
| ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics J Zhu, R Deng, T Yao, J Xiong, C Qu, J Guo, S Lu, M Yin, Y Wang, S Zhao, ... arXiv preprint arXiv:2412.03026, 2024 | | 2024 |
| GloFinder: AI-empowered QuPath Plugin for WSI-level Glomerular Detection, Visualization, and Curation J Yue, T Yao, R Deng, S Lu, J Guo, Q Liu, M Yin, J Xiong, H Yang, Y Huo arXiv preprint arXiv:2411.18795, 2024 | | 2024 |
| Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Y Wu, J Xiong, T Yao, R Deng, J Guo, J Yue, N Chowdhury, Y Huo arXiv preprint arXiv:2411.15942, 2024 | | 2024 |
| How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment J Guo, S Lu, C Cui, R Deng, T Yao, Z Tao, Y Lin, M Lionts, Q Liu, J Xiong, ... arXiv preprint arXiv:2411.00078, 2024 | | 2024 |
| Automatic Image Unfolding and Stitching Framework for Esophageal Lining Video Based on Density-Weighted Feature Matching M Li, J Xiong, R Deng, T Yao, RN Tyree, G Hiremath, Y Huo arXiv preprint arXiv:2410.01148, 2024 | | 2024 |
| Circle Representation for Medical Instance Object Segmentation J Xiong, EH Nguyen, Y Liu, R Deng, RN Tyree, H Correa, G Hiremath, ... arXiv preprint arXiv:2403.11507, 2024 | | 2024 |
| MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics J Zhu, R Deng, T Yao, J Xiong, C Qu, J Guo, S Lu, M Yin, Y Wang, S Zhao, ... Medical Imaging with Deep Learning, 0 | | |
| CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation R Deng, Y Yang, DJ Pisapia, BL Liechty, J Zhu, J Xiong, J Guo, Z Lu, ... Medical Imaging with Deep Learning, 0 | | |
Ruining DengWeill Cornell Medicine確認したメール アドレス: vanderbilt.edu