Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancerShuo Wang, Jie Tian, Zhenyu Liu et al.|Radiotherapy and Oncology|2018Cited by 176
Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre studyXiangyu Liu, Jie Tian, Dafu Zhang et al.|EBioMedicine|2021Cited by 131
Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcomaLongfei Li, Jie Tian, Kai Sun et al.|European Journal of Radiology|2019Cited by 65
A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter StudyWei Wei, Jie Tian, Zhenyu Liu et al.|Frontiers in Oncology|2019Cited by 63
A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With GliomaLongfei Li, Jie Tian, Wei Mu et al.|Frontiers in Oncology|2019Cited by 56