Xun Zhao
ShangHai JiAi Genetics & IVF Institute(CN)Shanghai Artificial Intelligence Laboratory
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Head and Neck Cancer Studies, Data Visualization and Analytics, Advanced Image and Video Retrieval Techniques
Most-Cited Works
- → iForest: Interpreting Random Forests via Visual Analytics(2018)197 cited
- → A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study(2021)123 cited
- → Artificial intelligence applied to ‘omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment(2024)66 cited
- → Temporally Efficient Vision Transformer for Video Instance Segmentation(2022)65 cited
- → SkyLens: Visual Analysis of Skyline on Multi-Dimensional Data(2017)49 cited
- → A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study(2020)46 cited
- → Complemental Attention Multi-Feature Fusion Network for Fine-Grained Classification(2021)45 cited
- → Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma(2022)40 cited
- → Active Learning for Open-set Annotation(2022)36 cited
- → Semantic-Guided Relation Propagation Network for Few-shot Action Recognition(2021)35 cited