Jiaxiu Luo
Sun Yat-sen University(CN)Sun Yat-sen University Cancer Center(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Glioma Diagnosis and Treatment, Renal cell carcinoma treatment, Cancer Genomics and Diagnostics
Most-Cited Works
- → Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features(2018)115 cited
- → Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma(2020)49 cited
- → Bag of deep features for preoperative prediction of sentinel lymph node metastasis in breast cancer(2018)44 cited
- → Multi-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features(2021)43 cited
- → Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images(2020)12 cited
- → Light-weight cross-view hierarchical fusion network for joint localization and identification in Alzheimer’s disease with adaptive instance-declined pruning(2021)9 cited
- → Treatment Continuity and Bone Marrow Suppression in Whole-Brain and Whole-Spinal Cord Radiotherapy for Medulloblastoma Patients(2024)2 cited
- → A 18F-FDG PET/CT-based radiomics model predicts prognosis of synchronous oligometastatic non-small cell lung cancer.(2019)1 cited
- → Integrative framework of cross-module deep biomarker for the prognosis of clear cell renal cell carcinoma(2019)
- → Construction of a Risk-Prediction Model for Severe Bone Marrow Suppression During Radiotherapy in Cervical Cancer Patients(2025)