Rachel Zhao
Tianjin University(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Brain Tumor Detection and Classification, Glioma Diagnosis and Treatment, Head and Neck Cancer Studies, AI in cancer detection
Most-Cited Works
- → An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging(2018)22 cited
- → Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies(2023)16 cited
- → AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models(2022)16 cited
- → Machine learning based survival prediction in Glioma using large-scale registry data(2022)15 cited
- → Temporal Trends in Clinical Evidence of 5-Year Survival Within Electronic Health Records Among Patients With Early-Stage Colon Cancer Managed With Laparoscopy-Assisted Colectomy vs Open Colectomy(2022)14 cited
- → Survival Prediction in Gliomas: Current State and Novel Approaches(2021)13 cited
- → Optimizing management of the elderly patient with glioblastoma: Survival prediction online tool based on BC Cancer Registry real-world data(2022)7 cited
- → 3D Multimodal Brain Tumor Segmentation and Grading Scheme based on Machine, Deep, and Transfer Learning Approaches(2022)7 cited
- → Visible-thermal cross-modality class-incremental learning(2025)1 cited
- → Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies (Preprint)(2023)