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European Radiology|May 12, 2023
Development and validation of MRI-based radiomics model to predict recurrence risk in patients with endometrial cancer: a multicenter studyZijing Lin, Ting Wang, Qiong Li, et al.
Quantitative Imaging in Medicine and Surgery|January 22, 2025
Differentiation of early-stage endometrial carcinoma from benign endometrial lesions: a comparative study of six diffusion modelsQiu Bi, Yuchen Deng, Na Xu, et al.
Frontiers in Public Health|October 13, 2025
The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopeniaHuayan Zuo, Qiu Bi, Xiaolong Liu, et al.
Academic Radiology|December 21, 2023
Habitat Radiomics Based on MRI for Predicting Platinum Resistance in Patients with High-Grade Serous Ovarian Carcinoma: A Multicenter StudyQiu Bi, Kun Miao, Na Xu, et al.
Abdominal Radiology (New York)|May 29, 2025
mpMRI-based habitat analysis for predicting prognoses in patients with high-grade serous ovarian cancer: a multicenter studyQiu Bi, Kun Miao, Yang Liu, et al.
Abdominal Radiology (New York)|September 14, 2024
Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinomaXianhong Wang, Qiu Bi, Cheng Deng, et al.
NPJ Precision Oncology|April 20, 2025
Foundation model-driven multimodal prognostic prediction in patients undergoing primary surgery for high-grade serous ovarian cancerQiu Bi, Conghui Ai, Linhao Qu, et al.
International Journal of Surgery (London, England)|May 20, 2025
A multi-modal model integrating MRI habitat and clinicopathology to predict platinum sensitivity in patients with high-grade serous ovarian cancer: a diagnostic studyQiu Bi, Conghui Ai, Qingyin Meng, et al.
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